Disclosure of Invention
The invention aims to provide a multi-element energy storage optimal configuration and economic evaluation method, a system, electronic equipment and a medium, which are used for reasonably planning and investing two types of energy storage facilities, so that the problem of surplus new energy sources can be solved, the dependence on a thermal power unit can be obviously reduced, the annual net load curve is smoothed, and the stability and the economical efficiency of a power system are improved.
In order to achieve the above purpose, the invention provides a multi-element energy storage optimizing configuration and economic evaluation method, which comprises the following steps:
S1, acquiring current situation and future development trend information of a new energy installation in a administrative area;
S2, constructing a multi-element energy storage optimal configuration model;
S3, solving the multi-element energy storage optimal configuration model to obtain an optimal multi-element energy storage configuration scheme;
and S4, carrying out economic evaluation by combining two long-time and short-time energy storage adjusting devices, namely pumped storage and electrochemical energy storage.
Preferably, in the step S1, the current situation of the new energy installation comprises the installation capacity and the position of the existing wind power, photovoltaic and pumping and accumulating resources in the area, and the future development trend information comprises the increment of the wind power and the photovoltaic installation in the three years and the increase of the electric power demand and the market digestion capacity of the new energy in the area.
Preferably, in step S2, the objective function of the multi-element energy storage optimization configuration model is as follows:
Objective=Cop+Cplan(1);
Cop＝Cinj+Cch1+Cch2(2);
Cplan＝C1+C2×κ(6);
C1＝cp×Pmax+ce×Emax(7);
C2＝cm×Pmax(8);
Where Objective denotes the Objective function, i=1, 2,..24 denotes the moment of operation, 24 denotes 24 hours, and the combination of multiple energy stores involves two different types of energy stores, respectively 1, 2 represents; Cop represents operation cost, Cplan represents energy storage planning cost, Cinj represents upper-level power grid electricity purchasing cost in administrative regions, Cch represents multi-element energy storage charge and discharge loss cost, and Cch1、Cch2 respectively represents energy storage 1, 2, Pinj (i) represents that the upper power grid at the ith moment injects power into the administrative region, cele (i) represents that the administrative region at the ith moment purchases electricity to the upper power grid, ti represents time granularity, and Pch1(i)、Pch2 (i) respectively represents that the energy storage at the ith moment is 1, 2, Pdis1(i)、Pdis2 (i) represents the discharge power of the energy storage 1 and 2 at the ith moment respectively, cd1、cd2 represents the discharge power of the energy storage 1, 2, wherein C1 represents the initial investment cost of energy storage, C2 represents the maintenance cost of energy storage operation, Ce represents the construction cost of energy storage with unit capacity, Cm represents the energy storage operation cost with unit power, Pmax represents the rated power of energy storage, Emax represents the rated capacity of energy storage, kappa represents an equal annual coefficient, Cp represents the construction cost of energy storage with unit power, r represents the discount rate, and n represents the year of energy storage operation.
Preferably, in the step S2, constraint conditions of the multi-element energy storage optimization configuration model comprise administrative region power balance constraint, each output main body power limit constraint and multi-element energy storage equipment charge-discharge characteristic constraint;
The output main body power limiting constraint comprises an upper power grid injection power constraint, an energy storage device charging and discharging total electric quantity constraint and an energy storage device charging and discharging power constraint;
The multi-element energy storage device charge-discharge characteristic constraint comprises an energy multiplying power constraint between the rated capacity and rated power of the energy storage, an energy storage state-of-charge continuity constraint, an energy storage state-of-charge initialization constraint and a response speed constraint of the energy storage device.
Preferably, the administrative district power balance constraint is as follows:
The power balance constraint time granularity of the administrative region is 15min, 96 timing points exist in 24 hours a day, namely j=1, 2, wherein, 96, Pw(j)、Pv (j) respectively represent the output of a wind turbine generator system and a photovoltaic turbine generator system in the administrative region at the j moment, Pchk(j)、Pdisk (j) respectively represent the charge and discharge power of the k energy storage device at the j moment, and PD (j) represents the power load of the administrative region at the j moment; Representing the stored energy collection.
Preferably, the upper grid injection power constraints are as follows:
0≤Pinj≤Pinjm (11);
The constraint of the total charge and discharge capacity of the energy storage device is as follows
The energy storage device charge/discharge power constraints are as follows:
0≤Pdisk(j)≤Bdisk(j)Pmaxk(13);
0≤Pchk(j)≤Bchk(j)Pmaxk(14);
the method comprises the following steps of (1) setting a power supply system, wherein Pinj represents injection power of an upper power grid, Emaxk represents rated capacity of k-th energy storage equipment, Pinjm represents maximum power injection of the upper power grid into an administrative region, Pmaxk represents rated charge and discharge power of k-th energy storage equipment, and Bdisk(j)、Bchk (j) respectively represents 0-1 variables for limiting the charge and discharge states of energy storage, and the following constraint is satisfied:
Bdisk(j)+Bchk(j)≤1(15)。
Preferably, the energy multiplying power constraint between the energy storage rated capacity and the rated power is as follows:
Emaxk＝βPmaxk(16);
the stored state of charge continuity constraints are as follows:
The stored state of charge constraints are as follows:
SOCmink≤SOCk(j)≤SOCmaxk (18);
the stored state of charge initialization constraints are as follows:
SOCk(1)＝SOCk(96)(19);
The response speed of the energy storage device is constrained as follows:
Pdisk(j)＝Pdisk(j+1)＝…＝Pdisk(j+n) (20);
The energy storage system comprises a power storage device, a power storage device and a power storage device, wherein an energy multiplying factor between a rated capacity of beta energy storage and rated power, an SOCk (j) represents the state of charge of the k energy storage device at the j moment, an SOCk (j+1) represents the state of charge of the k energy storage device at the j+1 moment, etak represents the charge/discharge efficiency of the k energy storage device, an SOCmaxk、SOCmink respectively represents the maximum and minimum states of charge of the k energy storage device, and n represents the response duration.
The invention also provides a multielement energy storage optimal configuration and economic evaluation system, which comprises:
The data collection module is used for obtaining the current situation of new energy installation in the administrative area and future development trend information, wherein the current situation of new energy installation comprises the existing installed capacity and position of wind power, photovoltaic and pumping and storage resources in the area, and the future development trend information comprises the increment of wind power and photovoltaic installation in three years in the future, the increase of power demand in the area and the market absorption capacity of new energy;
The model construction module is used for constructing a multi-element energy storage optimization configuration model and establishing corresponding objective functions and constraint conditions;
The calculation analysis module is used for solving the multi-element energy storage optimization configuration model to obtain an optimal multi-element energy storage configuration scheme;
the economic evaluation module is used for comparing and researching the economic benefits of various multielement energy storage configuration schemes in the operation period;
And the result output module is used for displaying the result of calculation and analysis, including an optimal energy storage configuration scheme and economic benefit evaluation thereof.
The invention also provides computer equipment, which comprises a memory and a processor, wherein the memory stores computer programs, and the processor realizes the steps of the multi-element energy storage optimal configuration and economic evaluation method when executing the computer programs.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the multi-element energy storage optimizing configuration and economic evaluation method.
Therefore, the method, the system, the electronic equipment and the medium for optimizing the configuration and the economic evaluation of the multi-element energy storage have the following beneficial technical effects:
(1) The method can help a decision maker to find an optimal energy storage configuration scheme by establishing a multi-element energy storage optimal configuration model and combining the current situation of new energy installation in administrative areas and future development prediction so as to realize effective allocation of electric power resources. The optimal configuration not only considers the minimization of the operation cost, but also considers the economy and the safety, thereby improving the operation efficiency of the whole power system.
(2) The method can flexibly adjust the power supply and the demand on different time scales by utilizing different types of energy storage technologies such as electrochemical energy storage, pumped storage and the like, and particularly effectively relieves the problems of surplus and shortage of power under the condition of unstable output of the new energy, promotes the full consumption of the new energy and reduces the occurrence of the phenomena of wind abandoning and light abandoning.
(3) The total operation cost is reduced by carefully analyzing the comprehensive cost (including the initial investment cost and the operation maintenance cost in the whole life cycle) of the energy storage equipment and comparing the online electricity price and the operation cost of the thermal power unit. Experiments prove that the reasonable planning of the energy storage facilities can obviously reduce the total running cost of the whole domain and improve the economical efficiency of the power system.
(4) The flexibility and the stability of the power system are enhanced, wherein electrochemical energy storage is mainly responsible for daily peak clipping and valley filling tasks, and pumped storage is focused on power dispatching on a longer time scale. The two are combined, so that the net load curve of the power system can be effectively smoothed, the dependence on the thermal power unit is reduced, and the power supply curve of the thermal power is more stable. This not only increases the flexibility of the power system, but also enhances its emergency response capability in the face of an emergency.
(5) The method can effectively delay the capacity expansion requirements of the thermal power unit and the power grid infrastructure by deploying an energy storage solution suitable for short-term and long-term adjustment, reduces the construction and transformation costs of the power system and reduces the influence on the environment.
(6) The economic evaluation method provided by the invention provides a clear direction for the research and the commercialization of the energy storage technology, and is beneficial to promoting the healthy development of the energy storage industry. Through quantitative analysis of economic benefits of various energy storage technologies, related enterprises can be helped to better understand market demands, and technological innovation steps are quickened.
Detailed Description
The technical scheme of the invention is further described below through the attached drawings and the embodiments.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs.
Example 1
The invention provides a multi-element energy storage optimal configuration and economic evaluation method, which comprises the following steps:
And S1, acquiring current situation and future development trend information of a new energy installation in a administrative area.
The current situation of new energy installation comprises the installation capacity and the position of existing wind power, photovoltaic and pumping and accumulating resources in the area, and the future development trend information comprises the increment of wind power and photovoltaic installation in the three years and the increase of power demand and the market digestion capacity of new energy in the area.
And S2, constructing a multi-element energy storage optimal configuration model.
The objective function of the multi-element energy storage optimization configuration model is as follows:
Objective=Cop+Cplan(1);
Cop＝Cinj+Cch1+Cch2(2);
Cplan＝C1+C2×κ(6);
C1＝cp×Pmax+ce×Emax(7);
C2＝cm×Pmax(8);
Where Objective denotes the Objective function, i=1, 2, 24 denotes the moment of operation, 24 denotes 24 hours, the combination of multiple energy stores involves two different types of energy stores, denoted respectively by energy stores 1,2, e.g. 1 is a combination of power store and 2 is a reserve energy store, which can smooth renewable energy output, system frequency modulation, provide reactive support, etc. The combination of the capacity type energy storage 1 and the standby type energy storage 2 can improve the transient stability of the system, track the power generation plan, relieve the equipment blockage and the like. The energy type energy storage device 1 is a combination of energy type energy storage and power type energy storage device 2, so that the micro-grid can operate, the electric energy quality is improved, and the micro-grid energy storage device participates in auxiliary service of a power grid and a standby power supply scene. cop represents operation cost, Cplan represents energy storage planning cost, Cinj represents upper-level power grid electricity purchasing cost in administrative regions, Cch represents multi-element energy storage charge and discharge loss cost, and Cch1、Cch2 respectively represents energy storage 1, 2, Pinj (i) represents that the upper power grid at the ith moment injects power into the administrative region, cele (i) represents that the administrative region at the ith moment purchases electricity to the upper power grid, ti represents time granularity, and Pch1(i)、Pch2 (i) respectively represents that the energy storage at the ith moment is 1, 2, Pdis1(i)、Pdis2 (i) represents the discharge power of the energy storage 1 and 2 at the ith moment respectively, cd1、cd2 represents the discharge power of the energy storage 1, 2, wherein C1 represents the initial investment cost of energy storage, C2 represents the maintenance cost of energy storage operation, Ce represents the construction cost of energy storage with unit capacity, Cm represents the energy storage operation cost with unit power, Pmax represents the rated power of energy storage, Emax represents the rated capacity of energy storage, kappa represents an equal annual coefficient, Cp represents the construction cost of energy storage with unit power, r represents the discount rate, and n represents the year of energy storage operation.
Constraint conditions of the multi-element energy storage optimization configuration model comprise administrative region power balance constraint, each output main body power limit constraint and multi-element energy storage equipment charge-discharge characteristic constraint;
The output main body power limiting constraint comprises an upper power grid injection power constraint, an energy storage device charging and discharging total electric quantity constraint and an energy storage device charging and discharging power constraint;
The multi-element energy storage device charge-discharge characteristic constraint comprises an energy multiplying power constraint between the rated capacity and rated power of the energy storage, an energy storage state-of-charge continuity constraint, an energy storage state-of-charge initialization constraint and a response speed constraint of the energy storage device.
The administrative area power balance constraints are as follows:
The power balance constraint time granularity of the administrative region is 15min, 96 timing points exist in 24 hours a day, namely j=1, 2, wherein, 96, Pw(j)、Pv (j) respectively represent the output of a wind turbine generator system and a photovoltaic turbine generator system in the administrative region at the j moment, Pchk(j)、Pdisk (j) respectively represent the charge and discharge power of the k energy storage device at the j moment, and PD (j) represents the power load of the administrative region at the j moment; Representing the stored energy collection.
The upper grid injection power constraints are as follows:
0≤Pinj≤Pinjm (11);
The constraint of the total charge and discharge capacity of the energy storage device is as follows
The energy storage device charge/discharge power constraints are as follows:
0≤Pdisk(j)≤Bdisk(j)Pmaxk(13);
0≤Pchk(j)≤Bchk(j)Pmaxk(14);
the method comprises the following steps of (1) setting a power supply system, wherein Pinj represents injection power of an upper power grid, Emaxk represents rated capacity of k-th energy storage equipment, Pinjm represents maximum power injection of the upper power grid into an administrative region, Pmaxk represents rated charge and discharge power of k-th energy storage equipment, and Bdisk(j)、Bchk (j) respectively represents 0-1 variables for limiting the charge and discharge states of energy storage, and the following constraint is satisfied:
Bdisk(j)+Bchk(j)≤1(15);
The energy multiplying power constraint between the energy storage rated capacity and the rated power is as follows:
Emaxk＝βPmaxk(16);
the stored state of charge continuity constraints are as follows:
The stored state of charge constraints are as follows:
SOCmink≤SOCk(j)≤SOCmaxk (18);
the stored state of charge initialization constraints are as follows:
SOCk(1)＝SOCk(96)(19);
The response speed of the energy storage device is constrained as follows:
Pdisk(j)＝Pdisk(j+1)＝…＝Pdisk(j+n) (20);
The energy storage system comprises a power storage device, a power storage device and a power storage device, wherein an energy multiplying factor between a rated capacity of beta energy storage and rated power, an SOCk (j) represents the state of charge of the k energy storage device at the j moment, an SOCk (j+1) represents the state of charge of the k energy storage device at the j+1 moment, etak represents the charge/discharge efficiency of the k energy storage device, an SOCmaxk、SOCmink respectively represents the maximum and minimum states of charge of the k energy storage device, and n represents the response duration.
And S3, solving the multi-element energy storage optimal configuration model to obtain an optimal multi-element energy storage configuration scheme.
And S4, carrying out economic evaluation by combining two long-time and short-time energy storage adjusting devices, namely pumped storage and electrochemical energy storage.
And (3) equipment type selection, namely comparing and researching economic benefits of various multi-element energy storage configuration schemes in the operation period according to the multi-element energy storage optimization configuration model.
In the model, two long-time and short-time energy storage adjusting devices such as pumped storage, electrochemical energy storage and the like are mainly considered.
The pumped storage power station is a storage battery taking water as a medium, and has the advantages of quick start and stop, flexible and reliable operation and quick response to load change. The system can play the functions of peak regulation, frequency modulation, phase modulation and emergency standby of the unit according to the specific condition of the power system, and fully utilizes the water quantity of the reservoir and the pumping/generating power to meet the requirements of safe and economic operation of the power system. In the power generation process, the pumped storage corresponds to a conventional hydropower station, and the pumping process corresponds to a large electric power user. Of course, the pumped storage power station also has effective loss, the comprehensive efficiency (the ratio of the generated energy to the pumped electric quantity) of the pumped storage is about 75%, and the pumped storage power station with superior conditions can reach more than 80%. Even so, it is cost-effective, because its rapid and flexible peak regulation function has avoided the high coal consumption operation and the equipment loss of thermal power generating unit, has ensured new energy consumption.
The electrochemical energy storage technology mainly refers to the application of a chemical battery energy storage system, and realizes charging and discharging through oxidation reaction between the anode and the cathode of a chemical battery, and finally realizes conversion and storage between chemical energy and electric energy. Chemical energy storage systems are also one of the relatively mature energy storage technologies of the state of the art, which enable fast power throughput processing. The specific comparisons of the various types of chemical energy storage are shown in table 1 below.
TABLE 1 comparison of Performance of different chemical energy storage technologies
When selecting the energy storage technology, firstly, the application scene of energy storage should be considered. The energy storage requirements of different application scenes are emphasized, so that the requirement purpose and the technical type need to be comprehensively considered. Ensuring the safety and reliability of energy storage systems is a primary task. In addition, various characteristics of energy storage technology are considered, including but not limited to initial investment, maintenance costs, energy conversion efficiency, self-discharge rate, cycle life, technical complexity, response speed, and adaptability to site and environment. Especially for chemical energy storage, ambient temperature is an important factor. For example, cadmium nickel (Cd/Ni) batteries and supercapacitors exhibit optimal performance at extremely low temperatures (e.g., -40 ℃) and zinc nickel (Zn/Ni) batteries, metal hydride nickel (MH/Ni) batteries and supercapacitors are more suitable at high temperatures (e.g., 60 ℃).
In addition, economic benefits are an indispensable consideration in selecting energy storage technologies. The economic benefit of energy storage is mainly expressed in terms of unit investment construction cost, operation maintenance cost, cycle life, energy conversion efficiency and self-discharge rate. The unit cost can be further subdivided into capacity cost and power cost. By comprehensively comparing the indexes, various energy storage technologies can be comprehensively evaluated. The data obtained from the evaluation of the primary chemical energy storage are shown in table 2 below.
TABLE 2 economic benefits of different chemical energy storage technologies
The energy storage technology which meets the specific requirements best is selected by comprehensively comparing the performance and economic benefits of the energy storage technology. Through comprehensive analysis of the indexes, the selected energy storage technology can be ensured to have economical competitiveness, and can meet the performance requirements in specific application scenes, so that an optimal energy storage configuration scheme is realized.
The invention will be further illustrated by means of specific examples.
1. Firstly, two types of equipment, namely pumped storage equipment and electrochemical energy storage equipment, are analyzed from cost comparison.
1. The cost of the pumping and accumulating power station mainly comprises construction engineering cost, electromechanical equipment engineering and installation cost, construction auxiliary cost, environmental protection cost, construction land, immigrant placement compensation cost and the like, and the installation cost of the pumping and accumulating power station is about 0.58 to 0.70 yuan/Wh according to China renewable energy engineering cost management report 2023 issued by the water pumping and accumulating industry division of the water and electricity planning and design institute and China hydroelectric power engineering society. For cost estimation we take the median value of 0.65 yuan/Wh, which means an installation cost per megawatt hour (MWh) of about 65 ten thousand yuan.
2. The installation costs for electrochemical energy storage systems can be divided into several key components:
the battery pack (cell) accounts for about 67% of the total cost, with a cost of about 0.62 yuan/Wh;
the energy storage inverter (PCS) accounts for about 10% of the total cost, and the cost is about 0.28 yuan/Wh;
the Battery Management System (BMS) accounts for about 9% of the total cost, with a cost of about 0.15 yuan/Wh;
The Energy Management System (EMS) accounts for about 2% of the total cost, with a cost of about 0.18 yuan/Wh;
Other electrical equipment, such as voltage boosting devices, cabinet cables, etc., account for about 3% of the total cost, with a cost of about 0.1 yuan/Wh.
The costs are added to give an electrochemical energy storage system with an installation cost of about 1.33 yuan/Wh, equivalent to 133 ten thousand yuan per megawatt hour.
2. The operation cost, the charge and discharge efficiency, the maximum operation time length and the like of the two types of equipment of pumped storage and electrochemical energy storage are comprehensively compared, the online electricity price of the thermal power unit is about 0.3 yuan/kWh, namely the electricity generation cost is 0.03 ten thousand yuan per megawatt hour, and the electricity degree cost of the pumped storage power station is about 0.213 yuan/kWh, and the operation and maintenance cost per megawatt hour is about 0.02 ten thousand yuan. The electricity-measuring cost of the electrochemical energy storage is set to be 0.03 ten thousand yuan/MWh, and the charge and discharge efficiency is 95%. The maximum discharge time of the electrochemical energy storage is set to be 2 hours, and the pumped storage power station can reach 7 hours. In addition, the water quantity and electricity conversion coefficient of the pumped storage power station is 561.75m3/MWh when discharging, 748.5m3/MWh when charging, and the electricity balance ratio is 50%. As for thermal power generating units, the up-and-down climbing capacity of the thermal power generating unit is limited to 80% of the maximum power generation capacity of the thermal power generating unit.
3. According to the measurement and calculation, when the sum of the total investment cost and the overall operation cost of the electrochemical energy storage and pumped storage power station is the minimum as an optimization target, the long-short-term energy storage planning configuration result of the overall area of the area is obtained as shown in the table 3.
TABLE 3 Global long short term energy storage planning operation cost
After the safety and stability economic power supply requirements in ten years of the whole domain are combined, the total of the newly added pumped storage power stations is 1270.21MW and the total of the newly added electrochemical storage power stations is 1375.81MW on the original basis. To further analyze the long and short term energy storage specific planning scheme, the two types of energy storage planning layout results at each node are summarized in table 4. Therefore, a planning and expanding scheme of the pumped storage power station is formed on two pumped storage nodes, and for electrochemical energy storage, although the existing 7 electrochemical energy storage nodes can be newly increased in energy storage capacity, after the whole-network topological constraint, the operation safety and the economy are considered, the planning and expanding scheme of the electrochemical energy storage is formed only on the node 1 and the node 19.
TABLE 4 Global long and short term energy storage planning layout results
| Node location | Energy storage type | Planning power (MW) | Planning capacity (MWh) |
| 4 | Pumped storage | 649.47 | 1498.66 |
| 8 | Pumped storage | 620.74 | 4345.18 |
| 1 | Electrochemical energy storage | 697.51 | 1395.02 |
| 19 | Electrochemical energy storage | 678.29 | 1356.59 |
4. Comprehensive analysis
By analyzing the calling conditions of various power supply units and flexible regulation resources in the whole domain and drawing charts (as shown in fig. 1 to 4) of electrochemical energy storage power stations, pumped storage power stations, wind power and photovoltaic power generation units, whole domain load reduction measures and annual output characteristics of thermal power units, the problem that 100% of local consumption of new energy power is realized in the whole domain under the combined action of electrochemical energy storage and pumped storage can be observed. In particular, electrochemical energy storage is mainly responsible for daily peak clipping and valley filling tasks, while pumped storage is focused on power dispatching at the lunar level.
The change in global payload characteristics before and after optimization is further analyzed and a year-round payload characteristic comparison before and after optimization is shown in fig. 5. The result shows that by reasonably planning and investing two types of energy storage facilities, the problem of surplus new energy is solved, and after combining the flexibility adjusting function of the energy storage facilities and proper load reduction measures, the dependence of the whole domain on the thermal power unit is obviously reduced all the year round, and the power supply curve of the thermal power unit becomes more stable. This shows that by deploying energy storage solutions suitable for short-term and long-term regulation, the annual payload curves can be effectively smoothed and the thermal power plant and grid capacity expansion requirements deferred.
To demonstrate the importance of planning long and short term energy storage facilities, the operation without new energy storage facilities was calculated, see table 5. The data indicate that if a new long and short time energy storage facility is not built, the operation cost of the whole domain in the next ten years will rise greatly, and the overall planning cost including the energy storage facility is exceeded. This is because the lack of sufficient energy storage capacity results in a larger scale load shedding, thereby affecting safe and stable operation of the system. Therefore, a reasonable long-short time energy storage optimization configuration strategy is formulated, so that the balance economy between the global power supply and the demand is effectively improved, and the method has great economic applicability.
TABLE 5 Global long and short term energy storage planning operation cost
Example two
A multi-element energy storage optimization configuration and economic evaluation system, comprising:
The data collection module is used for obtaining the current situation of new energy installation in the administrative area and future development trend information, wherein the current situation of new energy installation comprises the existing installed capacity and position of wind power, photovoltaic and pumping and storage resources in the area, and the future development trend information comprises the increment of wind power and photovoltaic installation in three years in the future, the increase of power demand in the area and the market absorption capacity of new energy;
The model construction module is used for constructing a multi-element energy storage optimization configuration model and establishing corresponding objective functions and constraint conditions;
The calculation analysis module is used for solving the multi-element energy storage optimization configuration model to obtain an optimal multi-element energy storage configuration scheme;
The economic evaluation module is used for comparing and researching economic benefits of various multielement energy storage configuration schemes in an operation period, and various types of energy storage comprise capacity type energy storage, power type energy storage, energy type energy storage and standby type energy storage.
And the result output module is used for displaying the result of calculation and analysis, including an optimal energy storage configuration scheme and economic benefit evaluation thereof.
The above functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. The storage medium includes a U disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium include an electrical connection (an electronic device) having one or more wires, a portable computer diskette (a magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is noted that what is not described in detail in the present invention is well known to those skilled in the art.
Therefore, the adoption of the method, the system, the electronic equipment and the medium for the multi-element energy storage optimization configuration and the economic evaluation is beneficial to solving the problem of surplus new energy sources by reasonably planning and investing the two types of energy storage facilities, and can also remarkably reduce the dependence on a thermal power unit and smooth the annual net load curve so as to improve the stability and the economical efficiency of the power system.
It should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted by the same, and the modified or substituted technical solution may not deviate from the spirit and scope of the technical solution of the present invention.