技术领域Technical Field
本发明属于输配电网优化规划领域，更具体地，涉及一种计及输配电网形态演变的风光储协同规划方法。The present invention belongs to the field of transmission and distribution network optimization planning, and more specifically, relates to a wind, solar and storage collaborative planning method taking into account the evolution of the transmission and distribution network morphology.
背景技术Background Art
新能源发电具有环境友好、碳排放低、资源丰富等特征，近年来受到学术界和工业界的广泛关注。随着碳达峰、碳中和目标的提出，加速构建以新能源为主的新型电力系统，推进我国能源消费生产转型升级，逐渐成为我国电网发展和建设的重要战略目标之一。然而，考虑到新能源发电自身的物理属性和动态特性，大规模新能源接入将导致系统随机性、波动性、不确定性增加，为电网安全、稳定、清洁、高效运行带来严峻挑战。Renewable energy power generation has the characteristics of being environmentally friendly, low in carbon emissions, and rich in resources. In recent years, it has received widespread attention from academia and industry. With the proposal of carbon peak and carbon neutrality goals, accelerating the construction of a new power system based on new energy and promoting the transformation and upgrading of my country's energy consumption and production have gradually become one of the important strategic goals of my country's power grid development and construction. However, considering the physical properties and dynamic characteristics of renewable energy power generation itself, large-scale access to renewable energy will lead to increased randomness, volatility, and uncertainty in the system, bringing severe challenges to the safe, stable, clean, and efficient operation of the power grid.
现有研究主要针对输配电网协同优化问题提供了一定基础。但现有输配协同优化研究主要集中在最优潮流和日前调度层面，未能充分考虑输配电网耦合交互对电网规划结果的影响。此外，目前电网规划相关研究主要集中于当前电网形态开展，鲜有关于多元因素驱动下输配电网形态演变对系统规划策略影响的影响，缺乏针对性和前瞻性。Existing research mainly provides a certain foundation for the problem of coordinated optimization of transmission and distribution networks. However, existing research on coordinated optimization of transmission and distribution mainly focuses on the optimal power flow and day-ahead dispatching, and fails to fully consider the impact of transmission and distribution network coupling interaction on power grid planning results. In addition, current research on power grid planning mainly focuses on the current power grid form, and there is little research on the impact of the evolution of the transmission and distribution network form driven by multiple factors on the system planning strategy, which lacks pertinence and foresight.
发明内容Summary of the invention
针对现有技术的以上缺陷或改进需求，本发明提供了一种计及输配电网形态演变的风光储协同规划方法，其目的在于解决现有技术未充分计及输配电网形态演变影响，规划层面缺乏输配协同、规划方案缺乏前瞻性的问题。In response to the above defects or improvement needs of the prior art, the present invention provides a wind, solar and storage coordinated planning method that takes into account the evolution of the transmission and distribution network morphology. Its purpose is to solve the problems that the prior art does not fully take into account the impact of the evolution of the transmission and distribution network morphology, lacks transmission and distribution coordination at the planning level, and lacks foresight in planning schemes.
为实现上述目的，本发明提供了一种计及输配电网形态演变的风光储协同规划方法，包括以下步骤：To achieve the above object, the present invention provides a wind-solar-storage collaborative planning method taking into account the evolution of the transmission and distribution network, comprising the following steps:
S1、以输电网经济性最优和新能源消纳量最大为目标，考虑直流潮流约束和系统安全稳定运行约束，建立输电网风光储规划模型；S1. With the goal of optimizing the economic efficiency of the transmission network and maximizing the consumption of new energy, considering the constraints of DC power flow and the safe and stable operation of the system, a wind, solar and storage planning model for the transmission network is established;
S2、以配电网经济性最优和新能源消纳量最大为目标，考虑交流潮流约束和系统安全稳定运行约束，建立配电网风光储规划模型；S2. With the goal of optimizing the economic efficiency of the distribution network and maximizing the consumption of new energy, considering the constraints of AC power flow and the safe and stable operation of the system, a distribution network wind, solar and storage planning model is established;
S3、考虑输配电网耦合交互，基于所述输电网风光储规划模型和所述配电网风光储规划模型建立基于二阶锥松弛的输配协同风光储规划模型；S3. Considering the coupling interaction of the transmission and distribution networks, a transmission and distribution coordinated wind, solar and storage planning model based on second-order cone relaxation is established based on the transmission network wind, solar and storage planning model and the distribution network wind, solar and storage planning model;
S4、分析输配电网形态演变的多元驱动因素，确定输配电网形态演变路径及其典型阶段特征；S4. Analyze the multiple driving factors of the evolution of the transmission and distribution network morphology, determine the evolution path of the transmission and distribution network morphology and its typical stage characteristics;
S5、确定基于异构分解的模型快速求解架构；S5. Determine the fast solution architecture of the model based on heterogeneous decomposition;
S6、输入输配电网基本结构参数及源荷特性参数，以步骤S4确定的输配电网形态演变路径的典型阶段特征作为所述输配协同风光储规划模型求解的边界条件输入，根据步骤S5确定的基于异构分解的模型快速求解架构求解所述输配协同风光储规划模型，获取系统全局最优规划方案。S6. Input the basic structural parameters and source-load characteristic parameters of the transmission and distribution network, and use the typical stage characteristics of the transmission and distribution network morphology evolution path determined in step S4 as the boundary condition input for solving the transmission and distribution coordinated wind, solar and storage planning model. Solve the transmission and distribution coordinated wind, solar and storage planning model according to the model fast solution architecture based on heterogeneous decomposition determined in step S5 to obtain the global optimal planning scheme for the system.
进一步的，所述输电网风光储规划模型的目标函数表示如下：Furthermore, the objective function of the wind, solar and storage planning model of the transmission network is expressed as follows:
式中，objtrans表示输电网风光储协同规划模型目标函数；分别表示输电网发电成本、潮流返送成本、设备安装成本和弃风弃光惩罚；ci,bi,ai分别表示输电网火电机组发电成本的二次项、一次项和常数项系数；NG,Nroot,Ntrans分别表示输电网发电机节点集合，与配电网连接根节点集合，输电网全部节点集合，分别表示i节点t时刻火电机组出力功率和向配电网传输功率；表示i节点t时刻输电网售电价格；分别表示设备折旧系数和输电网弃风光惩罚系数；分别表示输电网i节点风电、光伏、储能安装容量；分别表示输电网总弃风量和弃光量。Where, objtrans represents the objective function of the wind-solar-storage collaborative planning model for the transmission network; They represent the power generation cost, power flow return cost, equipment installation cost and wind and solar power abandonment penalty of the transmission network respectively; ci , bi , ai represent the quadratic term, linear term and constant term coefficient of the power generation cost of thermal power units in the transmission network respectively; NG , Nroot , Ntrans represent the set of generator nodes in the transmission network, the set of root nodes connected to the distribution network, and the set of all nodes in the transmission network respectively. They represent the output power of the thermal power unit at node i at time t and the power transmitted to the distribution network respectively; represents the electricity selling price of the transmission network at node i at time t; They represent the equipment depreciation coefficient and the transmission network wind and solar power abandonment penalty coefficient respectively; They represent the installed capacity of wind power, photovoltaic power, and energy storage at node i of the transmission grid; They represent the total wind power and solar power abandonment in the transmission network respectively.
进一步的，所述配电网风光储规划模型的目标函数表示如下：Furthermore, the objective function of the distribution network wind, solar and storage planning model is expressed as follows:
式中，objdis表示配电网风光储协同规划模型目标函数；分别表示配电网购电成本、设备安装成本和弃风弃光惩罚；表示配电网与输电网相连节点t时刻购电功率，为便于分析，本发明仅考虑配电网中仅有一个节点与输电网相连的场景；表示配电网与上级输电网连接的节点；配电网设备折旧系数与输电网保持一致，表示配电网弃风弃光系数；分别表示输电网i节点风电、光伏、储能安装容量；分别表示输电网总弃风量和弃光量。Where, objdis represents the objective function of the wind-solar-storage collaborative planning model for distribution networks; They represent the power purchase cost of the distribution network, the equipment installation cost and the penalty for wind and solar power abandonment respectively; Indicates the power purchased by the node connected to the distribution network and the transmission network at time t. For the convenience of analysis, the present invention only considers the scenario where only one node in the distribution network is connected to the transmission network; Indicates the node where the distribution network is connected to the upper transmission network; the depreciation coefficient of the distribution network equipment is consistent with that of the transmission network. Indicates the wind and solar power abandonment coefficient of the distribution network; They represent the installed capacity of wind power, photovoltaic power, and energy storage at node i of the transmission grid; They represent the total wind power and solar power abandonment in the transmission network respectively.
进一步的，步骤S3包括以下步骤：Further, step S3 includes the following steps:
S31、针对配电网交流潮流约束所引入的模型非凸项，利用二阶锥松弛进行模型非凸约束转换，获取配电网风光储凸优化模型；S31. For the non-convex terms of the model introduced by the AC power flow constraints of the distribution network, the non-convex constraints of the model are transformed by using second-order cone relaxation to obtain a convex optimization model of wind, solar and energy storage for the distribution network;
S32、考虑输配电网耦合交互，以系统整体经济性和清洁能源消纳量最优为目标，分别考虑输配电网优化运行约束和联络新约束，建立所述输配电网风光储协同规划模型，输配电网风光储协同规划模型的优化目标为输电网风光储规划模型和配电网风光储规划模型优化目标之和，约束条件为输电网风光储规划模型和配电网风光储规划模型约束条件的并集，所述输配电网风光储协同规划模型的表达形式如下：S32. Considering the coupling interaction of the transmission and distribution network, taking the overall economy of the system and the optimal clean energy consumption as the goal, considering the optimized operation constraints and new connection constraints of the transmission and distribution network respectively, the wind, solar and storage collaborative planning model of the transmission and distribution network is established. The optimization target of the wind, solar and storage collaborative planning model of the transmission and distribution network is the sum of the optimization targets of the wind, solar and storage planning model of the transmission network and the wind, solar and storage planning model of the distribution network. The constraint condition is the union of the constraint conditions of the wind, solar and storage planning model of the transmission network and the wind, solar and storage planning model of the distribution network. The expression form of the wind, solar and storage collaborative planning model of the transmission and distribution network is as follows:
进一步的，所述输配电网风光储协同规划模型满足系统投建容量约束、有功平衡约束、新能源机组约束、储能系统约束、系统安全稳定运行约束。Furthermore, the wind, solar and storage collaborative planning model for the transmission and distribution network meets the system investment and construction capacity constraints, active power balance constraints, new energy unit constraints, energy storage system constraints, and system safe and stable operation constraints.
进一步的，所述输配电网风光储协同规划模型满足的约束具体如下：Furthermore, the constraints satisfied by the wind, solar and storage collaborative planning model for the transmission and distribution network are as follows:
(1)系统投建容量约束(1) System construction capacity constraints
受限于自然条件和机组物理特性，风电、光伏和储能机组机组安装容量需满足约束：Limited by natural conditions and physical characteristics of the units, the installed capacity of wind power, photovoltaic and energy storage units must meet the following constraints:
式中，分别表示i节点风电、光伏和储能机组安装容量上限；In the formula, They represent the upper limits of the installed capacity of wind power, photovoltaic and energy storage units at node i respectively;
(2)有功平衡约束(2) Active power balance constraint
考虑到输电网结构特征，输电网优化模型考虑系统有功平衡约束，其表达式如下所示：Taking into account the structural characteristics of the transmission network, the transmission network optimization model considers the system active balance constraint, and its expression is as follows:
式中，分别表示i节点t时刻系统对应的风电机组出力，光伏机组出力、储能机组出力和负荷量大小，其中，考虑到储能电站可能存在充/放电两种状态，因此假定当储能系统处于充电状态时其出力为负，处于放电状态时其出力为正，且储能系统在任意时段仅能处于充/放电状态中的一种；NL表示输电网支路集合；表示输电网l支路t时刻网损；In the formula, They represent the wind turbine output, photovoltaic output, energy storage output and load size corresponding to the system at node i at time t. Considering that the energy storage power station may be in two states of charging/discharging, it is assumed that when the energy storage system is in the charging state, its output is negative, and when it is in the discharging state, its output is positive, and the energy storage system can only be in one of the charging/discharging states at any time;NL represents the set of transmission network branches; It represents the network loss of branch l of the transmission network at time t;
(3)新能源机组约束(3) Constraints on new energy units
输电网风电及光伏机组出力需满足约束：The output of wind power and photovoltaic units in the transmission network must meet the following constraints:
式中，分别表示输电网i节点t时刻风电和光伏机组最大可用功率；In the formula, They represent the maximum available power of wind power and photovoltaic units at node i of the transmission grid at time t respectively;
(4)储能系统约束(4) Energy storage system constraints
储能机组约束主要包括充放电功率约束、容量约束和荷电状态约束：Energy storage unit constraints mainly include charging and discharging power constraints, capacity constraints and state of charge constraints:
式中，分别表示i节点t时刻储能系统投建功率，表示输电网i节点储能系统投建容量；表示输电网i节点储能系统投建上限；表示i节点t时刻储能系统SOC；ηc表示储能系统充/放电效率，其中充/放电效率互为倒数；表示储能系统SOC上/下限；In the formula, They represent the power of energy storage system invested and constructed at node i at time t, It represents the construction capacity of energy storage system at node i of the transmission network; It represents the upper limit of the investment in energy storage system at node i of the transmission network; represents the SOC of the energy storage system at node i at time t; ηc represents the charge/discharge efficiency of the energy storage system, where the charge/discharge efficiency are reciprocals of each other; Indicates the upper/lower limit of the energy storage system SOC;
(5)系统安全稳定运行约束(5) System safe and stable operation constraints
输电网优化模型需满足系统安全稳定运行约束，主要包括节点电压约束，支路载流约束、最小启停时间约束等，即：The transmission network optimization model needs to meet the system's safe and stable operation constraints, mainly including node voltage constraints, branch current constraints, minimum start and stop time constraints, etc., namely:
式中，表示第i个节点t时间段内输电网节点电压大小，分别表示输电网节点电压上下限；表示输电网支路1的载流量大小，表示支路l的载流量上限；分别表示输电网第i台机组开机时长和关机时长，Ton，min，Toff，min分别表示输电网火电机组最小开/停机时长。In the formula, It represents the voltage of the transmission network node at the ith node in the time period t. They represent the upper and lower limits of the voltage at the transmission network nodes respectively; Indicates the current carrying capacity of transmission network branch 1. Indicates the upper limit of the current carrying capacity of branch l; They respectively represent the startup time and shutdown time of the i-th unit in the transmission network, and Ton, min and Toff, min respectively represent the minimum startup/shutdown time of the thermal power units in the transmission network.
进一步的，所述输配电网形态演变路径具体为：输配电网根据源-网-荷-储的形态差异分为三大阶段：萌芽期、发展期、成熟期，各阶段典型特征作为输配协同风光储规划模型求解的边界条件输入。Furthermore, the evolution path of the transmission and distribution network morphology is specifically as follows: the transmission and distribution network is divided into three stages according to the differences in the source-grid-load-storage morphology: the embryonic stage, the development stage, and the mature stage. The typical characteristics of each stage are used as boundary condition inputs for solving the transmission and distribution coordinated wind, solar and storage planning model.
进一步的，步骤S5基于异构分解的模型快速求解架构具体为：将输配协同规划问题分解为输电网优化子问题和配电网优化子问题，并利用电网边界量迭代交互获取系统全局最优解。Furthermore, step S5 is based on the fast solution architecture of the heterogeneous decomposition model as follows: decomposing the transmission and distribution coordinated planning problem into a transmission network optimization sub-problem and a distribution network optimization sub-problem, and using the grid boundary quantity to iteratively interact to obtain the global optimal solution of the system.
进一步的，所述基于异构分解的模型快速求解架构的优化流程如下：Furthermore, the optimization process of the model fast solution architecture based on heterogeneous decomposition is as follows:
Step1：程序初始化，负荷数据导入，输配电网网架结构及基础变量初始化，迭代次数ite＝1；Step 1: Initialize the program, import load data, initialize the grid structure and basic variables of the transmission and distribution network, and the number of iterations ite＝1;
Step2：确定所研究的输配电网典型阶段及其量化特征，获取优化程序边界条件；Step 2: Determine the typical stages of the transmission and distribution network under study and their quantitative characteristics, and obtain the boundary conditions of the optimization program;
Step3：优化规划层模型求解，获取输配电网风光储选址定容方案；Step 3: Optimize the planning layer model solution to obtain the wind, solar and storage site selection and capacity determination plan for the transmission and distribution network;
Step4：运行调度层模型求解，获取输配电网多类型机组最优出力方案，确定输配电网全时段耦合功率矩阵；Step 4: Run the dispatching layer model to solve, obtain the optimal output plan of multiple types of units in the transmission and distribution network, and determine the coupling power matrix of the transmission and distribution network in all periods;
Step5：求解输电网全时段售电价格，该价格利用基于拉格朗日乘子的输电网节点边际电价进行表征，包括边际发电成本项、损耗成本项及网络阻塞成本项，进而构造模型收敛判断条件，并迭代程序直至算法收敛。Step 5: Solve the electricity selling price of the transmission network for the entire period. This price is represented by the marginal electricity price of the transmission network node based on the Lagrange multiplier, including the marginal generation cost item, the loss cost item and the network congestion cost item. Then, the model convergence judgment condition is constructed and the procedure is iterated until the algorithm converges.
总体而言，通过本发明所构思的以上技术方案与现有技术相比，能够取得下列有益效果：In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:
1、相较于传统基于直流潮流的输配协同优化算法，本发明所建立的协同规划模型能够充分考虑输配电网结构特征，在确保求解精度的同时确保模型具有良好的计算效率和收敛能力；1. Compared with the traditional transmission and distribution collaborative optimization algorithm based on DC power flow, the collaborative planning model established by the present invention can fully consider the structural characteristics of the transmission and distribution network, and ensure that the model has good computational efficiency and convergence ability while ensuring the accuracy of the solution;
2、本发明所提架构能够充分计及输配电网协同交互，促进系统不确定性清洁能源和灵活性可调控资源优势互补；2. The architecture proposed in the present invention can fully take into account the coordinated interaction of the transmission and distribution grid, and promote the complementary advantages of system uncertainty clean energy and flexible and adjustable resources;
3、相较于传统电网规划模型，本发明所提协同规划策略能够充对输配电网形态演变的影响进行有效表征，制定输配电网形态演变不同阶段下的差异化最优规划方案。针对输配电网信息数据耦合日益紧密，系统清洁能源和储能接入比例不断提升的未来电网形态，具有广阔的应用空间。3. Compared with the traditional power grid planning model, the collaborative planning strategy proposed in this invention can effectively characterize the impact of the evolution of the transmission and distribution network form, and formulate differentiated optimal planning schemes at different stages of the evolution of the transmission and distribution network form. It has broad application space for the future power grid form with increasingly close coupling of information data of the transmission and distribution network and increasing proportion of clean energy and energy storage access in the system.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1是本发明基于异构分解的模型快速求解架构求解模型的流程示意图；FIG1 is a schematic diagram of a process of solving a model based on a fast model solving framework of heterogeneous decomposition according to the present invention;
图2是本发明实施例T6D7D9系统的结构图；FIG2 is a structural diagram of a T6D7D9 system according to an embodiment of the present invention;
图3是本发明实施例各典型阶段配电网1根节点功率交互量；FIG3 is a diagram showing the power interaction of a root node in a distribution network at each typical stage according to an embodiment of the present invention;
图4是本发明实施例配电网1发展期多类型机组出力；FIG4 is a diagram showing the output of multiple types of units during the development phase of the distribution network 1 according to an embodiment of the present invention;
图5是本发明实施例配电网1成熟期多类型机组出力；FIG5 is a diagram showing the output of multiple types of units in the mature stage of the distribution network 1 according to an embodiment of the present invention;
图6是本发明实施例系统各典型阶段储能机组出力；FIG6 is the output of the energy storage unit at each typical stage of the system according to the embodiment of the present invention;
图7是本发明实施例系统各典型阶段风电机组出力；FIG7 is a diagram showing the output of wind turbines at typical stages of the system according to an embodiment of the present invention;
图8是本发明实施例系统各典型阶段光伏机组出力。FIG8 shows the output of photovoltaic units at each typical stage of the system according to an embodiment of the present invention.
具体实施方式DETAILED DESCRIPTION
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。此外，下面所描述的本发明各个实施方式中所涉及到的技术特征只要彼此之间未构成冲突就可以相互组合。In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
为实现上述目的，本发明提供了一种计及输配电网形态演变的风光储协同规划方法，包括以下步骤：To achieve the above object, the present invention provides a wind-solar-storage collaborative planning method taking into account the evolution of the transmission and distribution network, comprising the following steps:
S1、以输电网经济性最优和新能源消纳量最大为目标，考虑直流潮流约束和系统安全稳定运行约束，建立输电网风光储规划模型；；S1. With the goal of optimizing the economic efficiency of the transmission network and maximizing the consumption of new energy, considering the constraints of DC power flow and the safe and stable operation of the system, a wind, solar and storage planning model for the transmission network is established;
具体地，输电网风光储规划模型的目标函数表示如下：Specifically, the objective function of the wind-solar-storage planning model for the transmission network is expressed as follows:
式中，objtrans表示输电网风光储协同规划模型目标函数；分别表示输电网发电成本、潮流返送成本、设备安装成本和弃风弃光惩罚；ci,bi,ai分别表示输电网火电机组发电成本的二次项、一次项和常数项系数；NG,Nroot,Ntrans分别表示输电网发电机节点集合，与配电网连接根节点集合，输电网全部节点集合，分别表示i节点t时刻火电机组出力功率和向配电网传输功率；表示i节点t时刻输电网售电价格；分别表示设备折旧系数和输电网弃风光惩罚系数；分别表示输电网i节点风电、光伏、储能安装容量；分别表示输电网总弃风量和弃光量。Where, objtrans represents the objective function of the wind-solar-storage collaborative planning model for the transmission network; They represent the power generation cost, power flow return cost, equipment installation cost and wind and solar power abandonment penalty of the transmission network respectively; ci , bi , ai represent the quadratic term, linear term and constant term coefficient of the power generation cost of thermal power units in the transmission network respectively; NG , Nroot , Ntrans represent the set of generator nodes in the transmission network, the set of root nodes connected to the distribution network, and the set of all nodes in the transmission network respectively. They represent the output power of the thermal power unit at node i at time t and the power transmitted to the distribution network respectively; represents the electricity selling price of the transmission network at node i at time t; They represent the equipment depreciation coefficient and the transmission network wind and solar power abandonment penalty coefficient respectively; They represent the installed capacity of wind power, photovoltaic power, and energy storage at node i of the transmission grid; They represent the total wind power and solar power abandonment in the transmission network respectively.
输电网风光储协同规划模型分为优化规划层约束条件(系统投建容量约束)和运行调度层约束条件(有功平衡约束、新能源机组约束、储能系统约束、系统安全稳定运行约束)，即：The wind, solar and energy storage collaborative planning model for the transmission network is divided into optimization planning layer constraints (system investment and construction capacity constraints) and operation and dispatching layer constraints (active power balance constraints, new energy unit constraints, energy storage system constraints, and system safe and stable operation constraints), namely:
(1)系统投建容量约束(1) System construction capacity constraints
受限于自然条件和机组物理特性，风电、光伏和储能机组机组安装容量需满足约束：Limited by natural conditions and physical characteristics of the units, the installed capacity of wind power, photovoltaic and energy storage units must meet the following constraints:
式中，分别表示i节点风电、光伏和储能机组安装容量上限。In the formula, They represent the upper limits of the installed capacity of wind power, photovoltaic and energy storage units at node i respectively.
(2)有功平衡约束(2) Active power balance constraint
考虑到输电网结构特征，输电网优化模型考虑系统有功平衡约束，其表达式如下所示：Taking into account the structural characteristics of the transmission network, the transmission network optimization model considers the system active balance constraint, and its expression is as follows:
式中，分别表示i节点t时刻系统对应的风电机组出力，光伏机组出力、储能机组出力和负荷量大小，其中，考虑到储能电站可能存在充/放电两种状态，因此假定当储能系统处于充电状态时其出力为负，处于放电状态时其出力为正，且储能系统在任意时段仅能处于充/放电状态中的一种；NL表示输电网支路集合；表示输电网1支路t时刻网损。In the formula, They represent the wind turbine output, photovoltaic output, energy storage output and load size corresponding to the system at node i at time t. Considering that the energy storage power station may be in two states of charging/discharging, it is assumed that when the energy storage system is in the charging state, its output is negative, and when it is in the discharging state, its output is positive, and the energy storage system can only be in one of the charging/discharging states at any time;NL represents the set of transmission network branches; Represents the network loss of branch 1 of the transmission network at time t.
(3)新能源机组约束(3) Constraints on new energy units
输电网风电及光伏机组出力需满足约束：The output of wind power and photovoltaic units in the transmission network must meet the following constraints:
式中，分别表示输电网i节点t时刻风电和光伏机组最大可用功率。本发明利用典型日方式对新能源机组出力特性进行表征，因此有关机组最大可用功率满足如下约束：In the formula, They represent the maximum available power of wind power and photovoltaic units at the time t of the transmission network node i. The present invention uses a typical day method to characterize the output characteristics of new energy units, so the maximum available power of the units meets the following constraints:
式中，curvew(t),curvepv(t)分别表示风电及光伏t时刻典型出力标幺值。Wherein, curvew (t) and curvepv (t) represent the typical per-unit output values of wind power and photovoltaic power at time t respectively.
(4)储能系统约束(4) Energy storage system constraints
储能机组约束主要包括充放电功率约束、容量约束和荷电状态(State ofCharge,SOC)约束：Energy storage unit constraints mainly include charge and discharge power constraints, capacity constraints and state of charge (SOC) constraints:
式中，分别表示i节点t时刻储能系统投建功率，表示输电网i节点储能系统投建容量；表示输电网i节点储能系统投建上限；表示i节点t时刻储能系统SOC；ηc表示储能系统充/放电效率，其中充/放电效率互为倒数；表示储能系统SOC上/下限。In the formula, They represent the power of energy storage system invested and constructed at node i at time t, It represents the construction capacity of energy storage system at node i of the transmission network; It represents the upper limit of the investment in energy storage system at node i of the transmission network; represents the SOC of the energy storage system at node i at time t; ηc represents the charge/discharge efficiency of the energy storage system, where the charge/discharge efficiency are reciprocals of each other; Indicates the upper/lower limit of the energy storage system SOC.
(5)系统安全稳定运行约束(5) System safe and stable operation constraints
为确保电网安全稳定运行，考虑到系统热稳定、动稳定、变压器容量承载力等因素，输电网优化模型需要进一步满足系统安全稳定运行约束，主要包括节点电压约束，支路载流约束、最小启停时间约束等，即：In order to ensure the safe and stable operation of the power grid, considering factors such as system thermal stability, dynamic stability, and transformer capacity, the transmission network optimization model needs to further meet the system's safe and stable operation constraints, mainly including node voltage constraints, branch current constraints, and minimum start and stop time constraints, namely:
式中，表示第i个节点t时间段内输电网节点电压大小，分别表示输电网节点电压上下限；表示输电网支路l的载流量大小，表示支路l的载流量上限；分别表示输电网第i台机组开机时长和关机时长，Ton，min，Toff，min分别表示输电网火电机组最小开/停机时长。In the formula, It represents the voltage of the transmission network node at the ith node in the time period t. They represent the upper and lower limits of the voltage at the transmission network nodes respectively; Indicates the current carrying capacity of the transmission network branch l, Indicates the upper limit of the current carrying capacity of branch l; They respectively represent the startup time and shutdown time of the i-th unit in the transmission network, and Ton, min and Toff, min respectively represent the minimum startup/shutdown time of the thermal power units in the transmission network.
S2、以配电网经济性最优和新能源消纳量最大为目标，考虑交流潮流约束和系统安全稳定运行约束，建立配电网风光储规划模型；S2. With the goal of optimizing the economic efficiency of the distribution network and maximizing the consumption of new energy, considering the constraints of AC power flow and the safe and stable operation of the system, a distribution network wind, solar and storage planning model is established;
具体地，配电网风光储规划模型的目标函数表示如下：Specifically, the objective function of the wind, solar and storage planning model for the distribution network is expressed as follows:
式中，objdis表示配电网风光储协同规划模型目标函数；分别表示配电网购电成本、设备安装成本和弃风弃光惩罚；表示配电网与输电网相连节点t时刻购电功率，为便于分析，本发明仅考虑配电网中仅有一个节点与输电网相连的场景；表示配电网与上级输电网连接的节点；配电网设备折旧系数与输电网保持一致，表示配电网弃风弃光系数；分别表示输电网i节点风电、光伏、储能安装容量；分别表示输电网总弃风量和弃光量。Where, objdis represents the objective function of the wind-solar-storage collaborative planning model for distribution networks; They represent the power purchase cost of the distribution network, the equipment installation cost and the penalty for wind and solar power abandonment respectively; Indicates the power purchased by the node connected to the distribution network and the transmission network at time t. For the convenience of analysis, the present invention only considers the scenario where only one node in the distribution network is connected to the transmission network; Indicates the node where the distribution network is connected to the upper transmission network; the depreciation coefficient of the distribution network equipment is consistent with that of the transmission network. Indicates the wind and solar power abandonment coefficient of the distribution network; They represent the installed capacity of wind power, photovoltaic power, and energy storage at node i of the transmission grid; They represent the total wind power and solar power abandonment in the transmission network respectively.
针对优化规划层，配电网约束条件与输电网约束条件表达形式相同。针对运行调度层，配电网约束条件主要考虑功率平衡约束、交流潮流约束、新能源机组约束、储能系统约束和系统安全稳定运行约束，具体表达式如下：For the optimization planning layer, the distribution network constraints are expressed in the same form as the transmission network constraints. For the operation and dispatching layer, the distribution network constraints mainly consider power balance constraints, AC power flow constraints, new energy unit constraints, energy storage system constraints and system safe and stable operation constraints. The specific expressions are as follows:
(1)功率平衡约束(1) Power balance constraints
式中，分别表示i节点t时刻配电网风电机组出力、光伏机组出力、储能系统充放电功率、向上级输电网有功购电功率、有功负荷功率；表示支路l有功功率；分别表示i节点t时刻配电网SVC无功功率和负荷无功功率；分别表示支路l有功功率和无功功率；NL(i)表示配电网包含节点i的全部支路集合；Ndis表示全部配电网节点集合。In the formula, They represent the wind turbine output, photovoltaic output, energy storage system charging and discharging power, active power purchased from the upper transmission network, and active load power of the distribution network at node i at time t. Indicates the active power of branch l; They represent the reactive power of the SVC in the distribution network and the reactive power of the load at the i-th node at time t respectively; They represent the active power and reactive power of branch l respectively;NL (i) represents the set of all branches of the distribution network including node i;Ndis represents the set of all nodes in the distribution network.
(2)交流潮流约束(2) AC power flow constraints
式中，i,j分别表示支路l的首端节点和末端节点；Gl,Bl分别表示配电网支路l的电导和电纳值；Ui,t分别表示i节点t时刻电压幅值，表示配电网t时刻支路l相角。In the formula, i,j represent the head node and the terminal node of branch l respectively;Gl ,Bl represent the conductance and susceptance of distribution network branch l respectively;Ui,t represents the voltage amplitude of node i at time t, It represents the phase angle of branch l in the distribution network at time t.
对于配电网而言，其新能源机组约束、储能系统约束和系统安全稳定运行约束与输电网在表达形式上相同，因此在此不再赘述。由于本发明在配电网中不考虑火电机组，因此配电网安全稳定运行约束中不涉及火电机组启停时间约束。For the distribution network, its new energy unit constraints, energy storage system constraints and system safe and stable operation constraints are expressed in the same form as the transmission network, so they will not be repeated here. Since the present invention does not consider thermal power units in the distribution network, the start and stop time constraints of thermal power units are not involved in the safe and stable operation constraints of the distribution network.
S3、考虑输配电网耦合交互，基于所述输电网风光储规划模型和所述配电网风光储规划模型建建立基于二阶锥松弛的输配协同风光储规划模型；S3. Considering the coupling interaction of the transmission and distribution networks, a transmission and distribution coordinated wind, solar and storage planning model based on second-order cone relaxation is established based on the transmission network wind, solar and storage planning model and the distribution network wind, solar and storage planning model;
对于输配电网而言，除各子系统运行约束外，其还需满足输配电网功率交互约束，即：For the transmission and distribution network, in addition to the operation constraints of each subsystem, it must also meet the power interaction constraints of the transmission and distribution network, namely:
式中，PtT-D表示t时刻输配电网输电通道传输功率矩阵，分别对应输电网优化变量和配电网优化变量表示输配电网传输功率上限。WherePtTD represents the transmission power matrix of the transmission channel of the transmission and distribution network at time t, andPtTD corresponds to the optimization variables of the transmission network. and distribution network optimization variables Indicates the upper limit of transmission power of the transmission and distribution grid.
与此同时，鉴于配电网风光储规划模型中涉及交流潮流约束等非凸约束，为确保本发明模型的可解性，进一步引入SOCR，通过变量定义，约束等价变形及松弛的方式，将配电网交流潮流约束转换为松弛后可直接用成熟商业软件进行求解的二阶锥约束。At the same time, in view of the non-convex constraints such as AC power flow constraints involved in the distribution network wind, solar and storage planning model, in order to ensure the solvability of the model of the present invention, SOCR is further introduced. Through variable definition, constraint equivalent transformation and relaxation, the distribution network AC power flow constraints are converted into second-order cone constraints that can be directly solved by mature commercial software after relaxation.
综上分析，本发明以输配电网整体经济性最优为目标，考虑输电网运行约束、配电网运行约束及输配耦合约束，构建输配电网风光储协同规划模型，其具体表达形式如下：Based on the above analysis, the present invention takes the optimization of the overall economic efficiency of the transmission and distribution network as the goal, considers the transmission network operation constraints, distribution network operation constraints and transmission and distribution coupling constraints, and constructs a wind, solar and storage collaborative planning model for the transmission and distribution network. Its specific expression is as follows:
式中，Mtrans,Mdis分别表示输电网总集合和配电网总集合。分别表示输电网约束结合、配电网约束集合和联络线约束集合。Where Mtrans , Mdis represent the total set of transmission network and distribution network respectively. represent the combination of transmission network constraints, distribution network constraints and tie line constraints respectively.
S4、分析输配电网形态演变的多元驱动因素，确定输配电网形态演变路径及其典型阶段特征；S4. Analyze the multiple driving factors of the evolution of the transmission and distribution network morphology, determine the evolution path of the transmission and distribution network morphology and its typical stage characteristics;
随着新型电力系统理念和“碳达峰、碳中和”目标的提出，输配电网在近年来得到了迅速发展。相较于传统电力系统，未来电力系统在源-网-荷侧均将发生重大变革，传统电力系统中各主体角色亦将发生进一步转变。目前输配电网规划研究主要针对当前形态开展，即未能考虑具有不同类型、特性的源荷资源占比的变化，亦未分析输配电网角色转变对规划方案的影响，局限性较为显著。因此，亟需开展多元因素驱动下输配电网形态演变典型特征研究，以确定计及输配电网形态演变的电力系统最优规划方案。With the proposal of new power system concepts and the goals of "carbon peak and carbon neutrality", the transmission and distribution network has developed rapidly in recent years. Compared with the traditional power system, the future power system will undergo major changes in the source-grid-load side, and the roles of various entities in the traditional power system will also undergo further changes. At present, the research on transmission and distribution network planning is mainly carried out on the current form, that is, it fails to consider the changes in the proportion of source and load resources with different types and characteristics, and does not analyze the impact of the role change of the transmission and distribution network on the planning scheme, and the limitations are quite significant. Therefore, it is urgent to carry out research on the typical characteristics of the evolution of the transmission and distribution network morphology driven by multiple factors, so as to determine the optimal planning scheme for the power system taking into account the evolution of the transmission and distribution network morphology.
为便于开展实施例分析，本发明主要考虑输配电网形态演变的三大典型阶段——萌芽期、发展期、成熟期。分别从源-网-储三个维度分析电网形态演变典型阶段的多元驱动和量化特征。首先，源侧形态演变主要体现为能源体系结构转型，由以火力发电为主的电力系统转变为以新能源为主体的电力系统，其主要特征为各典型阶段系统新能源占比不断提升。与此同时，网侧形态演变主要体现为配电网逐渐由传统配电网向主动配电网过渡，其角色定位和行为特征将发生根本性变化：传统配电网(萌芽期)可以简单将其视为输电网负荷节点，而主动配电网(发展期和成熟期)阶段中可能存在大规模分布式新能源，电力系统逐渐趋于扁平化；此外，与传统配电网不同，主动配电网与输电网间能量数据耦合更加紧密，因此开展输配协同规划的必要性亦得以进一步彰显。最后，储能侧形态演变主要体现为：相较于电网萌芽期，发展期和成熟期需要进一步考虑储能等灵活性调节资源接入电网的影响；同时，考虑到储能技术发展，随着输配电网形态演变的不断推进，储能接入系统的方式亦将由传统大规模集中式接入逐渐转变为集中式与分布式同时接入的方式。To facilitate the analysis of implementation examples, the present invention mainly considers the three typical stages of the evolution of the transmission and distribution network morphology - the embryonic stage, the development stage, and the mature stage. The multi-driven and quantitative characteristics of the typical stages of the evolution of the power grid morphology are analyzed from the three dimensions of source-grid-storage. First, the evolution of the source side morphology is mainly reflected in the transformation of the energy system structure, from a power system dominated by thermal power generation to a power system dominated by new energy, and its main feature is that the proportion of new energy in the system in each typical stage continues to increase. At the same time, the evolution of the grid side morphology is mainly reflected in the gradual transition of the distribution network from the traditional distribution network to the active distribution network, and its role positioning and behavioral characteristics will undergo fundamental changes: the traditional distribution network (germination stage) can be simply regarded as a load node of the transmission network, while the active distribution network (development stage and mature stage) may have large-scale distributed new energy, and the power system gradually tends to be flat; in addition, unlike the traditional distribution network, the energy data coupling between the active distribution network and the transmission network is closer, so the necessity of carrying out transmission and distribution coordinated planning is also further highlighted. Finally, the evolution of the energy storage side is mainly reflected in the following aspects: compared with the embryonic stage of the power grid, the development and mature stages need to further consider the impact of the access of flexible regulation resources such as energy storage to the power grid; at the same time, considering the development of energy storage technology, as the evolution of the transmission and distribution network continues to advance, the way energy storage is accessed to the system will gradually change from traditional large-scale centralized access to centralized and distributed simultaneous access.
综上分析，本发明分别归纳输配电网形态演变各典型阶段主要量化特征如下：Based on the above analysis, the present invention summarizes the main quantitative characteristics of each typical stage of the evolution of the transmission and distribution network as follows:
表1输配电网三大典型形态演变阶段特征对比Table 1 Comparison of characteristics of the three typical evolution stages of transmission and distribution networks
值得说明的是，输电网潮流返送成本仅在发展期和萌芽期两个阶段存在，由于萌芽期传统配电网不允许潮流返送，因此该项为0。It is worth noting that the power flow return cost of the transmission network only exists in the development stage and the embryonic stage. Since the traditional distribution network does not allow power flow return in the embryonic stage, this item is 0.
S5、为降低模型计算复杂度，并确保模型解的全局最优性，提出一种基于异构分解的模型快速求解架构。S5. In order to reduce the computational complexity of the model and ensure the global optimality of the model solution, a fast model solution architecture based on heterogeneous decomposition is proposed.
所述基于异构分解的模型快速求解架构的上层为优化规划层，同时确定输配电网风电、光伏、储能电站安装位置及容量，并为下层反馈选址定容结果；下层为运行调度层，确定输配电网多类型机组最优出力方案及联络线通道交互功率。上下层均通过输配电网边界信息交互实现全局优化，其具体优化流程如下：The upper layer of the model fast solution architecture based on heterogeneous decomposition is the optimization planning layer, which determines the installation location and capacity of wind power, photovoltaic, and energy storage power stations in the transmission and distribution network, and feeds back the site selection and capacity determination results to the lower layer; the lower layer is the operation and scheduling layer, which determines the optimal output plan of multiple types of units in the transmission and distribution network and the interactive power of the interconnection line channel. Both the upper and lower layers achieve global optimization through the interaction of transmission and distribution network boundary information. The specific optimization process is as follows:
Step1：程序初始化，负荷数据导入，输配电网网架结构及基础变量初始化，迭代次数ite＝1；Step 1: Initialize the program, import load data, initialize the grid structure and basic variables of the transmission and distribution network, and the number of iterations ite＝1;
Step2：确定所研究的输配电网典型阶段及其量化特征，获取优化程序边界条件；Step 2: Determine the typical stages of the transmission and distribution network under study and their quantitative characteristics, and obtain the boundary conditions of the optimization program;
Step3：优化规划层模型求解，获取输配电网风光储选址定容方案；Step 3: Optimize the planning layer model solution to obtain the wind, solar and storage site selection and capacity determination plan for the transmission and distribution network;
Step4：运行调度层模型求解，获取输配电网多类型机组最优出力方案，确定输配电网全时段耦合功率矩阵；Step 4: Run the dispatching layer model to solve, obtain the optimal output plan of multiple types of units in the transmission and distribution network, and determine the coupling power matrix of the transmission and distribution network in all periods;
Step5：求解输电网全时段售电价格，该价格可利用基于拉格朗日乘子的输电网节点边际电价(Locational Marginal Price,LMP)进行表征，包括边际发电成本项、损耗成本项及网络阻塞成本项，进而构造模型收敛判断条件，并迭代程序直至算法收敛。Step 5: Solve the electricity selling price of the transmission network throughout the entire period. This price can be represented by the transmission network node marginal electricity price (Locational Marginal Price, LMP) based on Lagrange multipliers, including marginal generation cost items, loss cost items and network congestion cost items, and then construct the model convergence judgment conditions, and iterate the program until the algorithm converges.
算法具体流程框图如图1所示。The specific flow chart of the algorithm is shown in Figure 1.
S6、输入输配电网基本结构参数及源荷特性参数，求解输配协同风光储规划模型，获取系统全局最优规划方案。S6. Input the basic structural parameters of the transmission and distribution network and the source-load characteristic parameters, solve the transmission and distribution coordinated wind, solar and storage planning model, and obtain the global optimal planning scheme for the system.
实施例Example
采用图2所示的T6D7D9系统，为彰显本发明的优势，分别针对计及电网形态演变下配电网单独规划场景和输配协同场景开展实施例分析。Using the T6D7D9 system shown in Figure 2, in order to highlight the advantages of the present invention, implementation examples are analyzed for the distribution network independent planning scenario and the transmission and distribution coordination scenario taking into account the evolution of the power grid form.
为分析电网在形态演变不同阶段对系统风光储规划方案的影响，本发明首先以配电网1为研究对象，分别求解萌芽期、发展期、成熟期系统规划方案如下：In order to analyze the impact of the grid on the system wind, solar and storage planning schemes at different stages of morphological evolution, the present invention first takes the distribution network 1 as the research object, and solves the system planning schemes in the embryonic stage, development stage and mature stage as follows:
表2配电网1风光储规划方案Table 2 Distribution network 1 wind, solar and storage planning scheme
由上表可知，在未考虑输配协同的单配电网规划场景中，系统总成本呈现“U”形分布，即配电网在发展期系统总成本最低；由图3-图5可知，萌芽期配电网由于无分布式风光机组，需大量向输电网购电以满足系统有功平衡；而由于电网网架结构、源荷分布无法完全支撑高比例新能源接入，因此成熟期配电网将出现大量弃风弃光现象，影响系统经济性和环保性。It can be seen from the above table that in the single distribution network planning scenario without considering the coordination of transmission and distribution, the total system cost presents a "U"-shaped distribution, that is, the total system cost of the distribution network is the lowest in the development stage; as can be seen from Figures 3 to 5, the distribution network in the embryonic stage has no distributed wind and solar units, so a large amount of electricity needs to be purchased from the transmission network to meet the active power balance of the system; and because the grid structure and source-load distribution cannot fully support a high proportion of new energy access, a large amount of wind and solar power will be abandoned in the mature distribution network, affecting the economy and environmental protection of the system.
同时，成熟期电网能够充分利用输配电网联络线向输电网返送多余电量，以实现提升系统经济性，促进电网清洁能源安全消纳的目的。At the same time, mature power grids can make full use of the transmission and distribution network interconnection lines to return excess electricity to the transmission network, so as to improve the system economy and promote the safe absorption of clean energy in the power grid.
为进一步彰显输配电网协同规划的优势，本发明进一步求解计及形态演变的输配电网风光储协同规划模型，具体求解结果如下所示。值得一提的是，由于输配协同场景中配电网购电成本已被反映至输电网火电机组出力成本中，因此在输配协同规划场景中配电网1、2成本仅考虑设备投建成本和弃风弃光惩罚，不再考虑配电网向上级购电成本。In order to further demonstrate the advantages of coordinated planning of transmission and distribution networks, the present invention further solves the coordinated planning model of wind, solar and storage transmission and distribution networks taking into account the evolution of morphology, and the specific solution results are shown below. It is worth mentioning that since the power purchase cost of the distribution network in the transmission and distribution coordination scenario has been reflected in the output cost of thermal power units in the transmission network, the cost of distribution networks 1 and 2 in the transmission and distribution coordinated planning scenario only considers the equipment investment and construction cost and the penalty for wind and solar abandonment, and no longer considers the cost of the distribution network purchasing electricity from the upper level.
表3计及形态演变的输配电网风光储规划方案Table 3 Planning scheme of wind, solar and storage for transmission and distribution network considering the evolution of morphology
由上表可知，与配电网1独立进行风光储规划场景不同，考虑输配协同的系统规划场景中，系统整体经济性随着电网形态演变的阶段推进而不断提升，输配协同规划场景能够更好地提升系统经济性，合理分配系统冗余资源，充分调度系统灵活性调节资源，促进清洁能源安全消纳，实现输配电网规划方案的全局优化。It can be seen from the above table that, unlike the scenario where distribution network 1 independently conducts wind, solar and storage planning, in the system planning scenario that considers transmission and distribution coordination, the overall economy of the system continues to improve with the advancement of the stage of grid evolution. The transmission and distribution coordination planning scenario can better improve the system economy, reasonably allocate system redundant resources, fully dispatch system flexibility to adjust resources, promote the safe consumption of clean energy, and achieve global optimization of the transmission and distribution network planning scheme.
同时，由图6-图8可知，相较于萌芽期电网，发展期和成熟期电网能够更好地利用经济性更具优势的分布式风电、光伏机组发电，并通过大量集中式、分布式储能的投建和更为充分的储能机组调度以达成促进清洁能源安全消纳，平抑风光不确定性和出力反调峰特性的目的。此外，相较于萌芽期传统配电网形态，考虑潮流返送的主动配电网形态能够极大缓解配电网新能源消纳压力，在负荷低谷期确保配电网有功平衡的前提下，通过潮流返送的方式促进系统冗余电量消纳，降低输电网火电机组出力成本，异构分解架构下系统可调度资源协同效率得以提升，输配电网全时段互补共济效益得以充分彰显。At the same time, as shown in Figures 6-8, compared with the embryonic power grid, the development and mature power grids can better utilize the distributed wind power and photovoltaic units with more economic advantages to generate electricity, and achieve the purpose of promoting the safe consumption of clean energy and smoothing the uncertainty and output peak characteristics of wind and solar power through the investment and construction of a large number of centralized and distributed energy storage and more sufficient energy storage unit dispatching. In addition, compared with the traditional distribution network form in the embryonic stage, the active distribution network form considering the flow return can greatly alleviate the pressure of new energy consumption in the distribution network. Under the premise of ensuring the active balance of the distribution network during the load valley period, the flow return method can promote the consumption of redundant power in the system, reduce the output cost of thermal power units in the transmission network, and improve the coordination efficiency of the system's dispatchable resources under the heterogeneous decomposition architecture. The complementary and mutual assistance benefits of the transmission and distribution network at all times can be fully demonstrated.
针对输配电网风光储规划问题，本发明构建了基于SOCR的输配电网风光储协同规划模型，提出一种基于异构分解的模型快速求解架构，最终确定了计及多元因素驱动下输配电网形态演变影响的风光储协同规划策略，最终通过实施例仿真得出以下结论：相较于传统基于直流潮流的输配协同优化算法，本发明所建立的协同规划模型能够充分考虑输配电网结构特征，在确保求解精度的同时确保模型具有良好的计算效率和收敛能力。与此同时，本发明所提架构能够充分计及输配电网协同交互，促进系统不确定性清洁能源和灵活性可调控资源优势互补。最后，相较于传统电网规划模型，本发明所提协同规划策略能够充对输配电网形态演变的影响进行有效表征，制定输配电网形态演变不同阶段下的差异化最优规划方案。针对输配电网信息数据耦合日益紧密，系统清洁能源和储能接入比例不断提升的未来电网形态，具有广阔的应用空间。Aiming at the planning problem of wind, solar and storage in the transmission and distribution network, the present invention constructs a wind, solar and storage collaborative planning model for the transmission and distribution network based on SOCR, proposes a model fast solution architecture based on heterogeneous decomposition, and finally determines the wind, solar and storage collaborative planning strategy that takes into account the influence of the evolution of the transmission and distribution network driven by multiple factors. Finally, the following conclusions are drawn through the simulation of the implementation example: Compared with the traditional transmission and distribution collaborative optimization algorithm based on DC power flow, the collaborative planning model established by the present invention can fully consider the structural characteristics of the transmission and distribution network, and ensure the model has good computational efficiency and convergence ability while ensuring the accuracy of the solution. At the same time, the architecture proposed by the present invention can fully consider the collaborative interaction of the transmission and distribution network, and promote the complementary advantages of system uncertainty clean energy and flexible and controllable resources. Finally, compared with the traditional power grid planning model, the collaborative planning strategy proposed by the present invention can effectively characterize the influence of the evolution of the transmission and distribution network, and formulate differentiated optimal planning schemes at different stages of the evolution of the transmission and distribution network. It has a broad application space for the future power grid form with increasingly close coupling of information data of the transmission and distribution network and increasing proportion of clean energy and energy storage access in the system.
本领域的技术人员容易理解，以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
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| CN202210039903.5ACN116488231A (en) | 2022-01-14 | 2022-01-14 | A wind-solar-storage collaborative planning method considering the shape evolution of transmission and distribution network |
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| CN116797049A (en)* | 2023-08-21 | 2023-09-22 | 国网安徽省电力有限公司合肥供电公司 | Quantitative assessment method for differentiated energy-saving potential of distribution network |
| CN117422227A (en)* | 2023-10-10 | 2024-01-19 | 国网山东省电力公司潍坊供电公司 | Transmission and distribution network double-side energy storage collaborative planning method considering source network charge storage coupling characteristic |
| CN118300062A (en)* | 2024-01-17 | 2024-07-05 | 北京交通大学 | Method and system for establishing transmission and distribution collaborative optimization model, medium and computer equipment |
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| CN116797049A (en)* | 2023-08-21 | 2023-09-22 | 国网安徽省电力有限公司合肥供电公司 | Quantitative assessment method for differentiated energy-saving potential of distribution network |
| CN116797049B (en)* | 2023-08-21 | 2023-11-03 | 国网安徽省电力有限公司合肥供电公司 | Quantitative assessment method for differentiated energy-saving potential of distribution network |
| CN117422227A (en)* | 2023-10-10 | 2024-01-19 | 国网山东省电力公司潍坊供电公司 | Transmission and distribution network double-side energy storage collaborative planning method considering source network charge storage coupling characteristic |
| CN117422227B (en)* | 2023-10-10 | 2024-05-24 | 国网山东省电力公司潍坊供电公司 | Transmission and distribution network double-side energy storage collaborative planning method considering source network charge storage coupling characteristic |
| CN118300062A (en)* | 2024-01-17 | 2024-07-05 | 北京交通大学 | Method and system for establishing transmission and distribution collaborative optimization model, medium and computer equipment |
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