Power distribution area household transformation relation identification methodTechnical Field
The invention belongs to the technical field of distribution automation, and particularly relates to a power station area family change relation identification method based on a broadband power line carrier communication network.
Background
The power transformer area household transformation relation is the basis of the services of power utilization information acquisition of a full-coverage transformer area, line loss management of the transformer area, power utilization information acquisition after load cutover and the like. Due to the carrier signal crosstalk and other reasons caused by the common zero line of adjacent transformer substations, the situation that carrier nodes are connected in series with transformer substation networking may exist in the adjacent transformer substations with the common zero line, and file relation confusion may also exist in the later maintenance process, so that the transformer substation household relation needs to be identified to effectively manage power. In the past, an electric power management department identifies the household variable relation of an electric power station area by manually updating a branch line electric meter file when temporarily performing load cutover in the peak period of power utilization, but the method is time-consuming and labor-consuming. Various user-variant relationship recognition methods have been proposed later to solve or optimize the above problems with manual recognition.
In a low-voltage distribution area, the voltage waveform of the area is slightly distorted due to start and stop of high-power electric equipment, operation of pulse working characteristic electric equipment and the like, so that the zero-crossing time of power frequency is slightly jittered. Real-time loads of different transformer areas are different, so that power frequency zero-crossing time jitter is different, and a plurality of transformer area identification mechanisms identify transformer area indoor variation relations based on the characteristics. For example, the chinese patent application with application number 2019108491894 proposes a station area identification method based on power frequency cycle data of electricity consumption, which is implemented by performing similarity gap on the original values of zero-crossing data corresponding to energy-only meters and concentrators, but the method mainly uses the zero-crossing data of STA (site) and CCO (central coordinator) in the station area to make station area judgment, since the characteristic values of each station area in different periods are not necessarily the same, erroneous judgment is easily generated, and meanwhile, the method is that each STA reports the zero-crossing data to CCO after collecting the zero-crossing data, and the CCO performs identification processing.
The chinese patent application No. 201310008004X discloses a power line characteristic-based station area identification technology, which compares the zero-crossing time of a command sent by different power station areas with the offset of the zero-crossing time of the ac commercial power connected to the power station areas according to the phase offset of the ac commercial power on a low-voltage power line, and thus determines the power station areas to which the power station areas belong. However, in practical application, the transformer areas needing to be identified are generally adjacent power transformer areas, and the transformers in each transformer area take power from the same high-voltage bus. The actual measurement result shows that the zero-crossing deviation mean value of the low-voltage side of the transformer is the same as the zero-crossing deviation mean value of the high-voltage side of the transformer, and the zero-crossing deviation mean value fluctuates slowly along with time. And the zero-crossing deviation real-time values of the low-voltage sides of the distribution areas vibrate around the mean value, and the vibration degree is different due to different loads of the distribution areas. The method is used for carrying out time accumulation on the deviation of the zero-crossing data, and can be equivalent to the fact that the long-time average value of the deviation of the zero-crossing data is multiplied by the accumulation time, and because adjacent transformer areas are usually powered on the same high-voltage bus, the zero-crossing deviation average values of the transformer areas are probably the same, and therefore the transformer areas are inaccurate in identification.
Disclosure of Invention
The invention aims to provide a power transformer area house change relation identification method based on a broadband power line carrier communication network, which can more accurately identify the transformer area house change relation.
In order to achieve the purpose, the invention adopts the following technical solutions:
a power station area user change relation identification method comprises the following steps:
s1, respectively making a platform area identification plan by the CCO module of each platform area, and issuing the platform area identification plan to each STA module;
s2, each STA module in the transformer area receives a transformer area identification plan issued by each CCO module, and acquires power frequency zero-crossing data according to the zero-crossing data acquisition starting time specified by the transformer area identification plan to obtain a corresponding zero-crossing data array;
s3, the CCO module collects power frequency zero-crossing data at the zero-crossing data collection starting moment appointed by the station area identification plan according to the station area identification plan of the CCO module to obtain a self zero-crossing data array, and sends the obtained zero-crossing data array to each STA module;
s4, after each STA module receives the zero-crossing data sequence issued by the CCO module, each STA module respectively processes the received zero-crossing data sequences of all CCO modules and its own zero-crossing data sequence, and determines which station area it belongs to, and the specific steps are as follows:
if a certain STA module can only receive a platform area identification plan issued by one CCO module, the STA module is considered to belong to the platform area where the CCO module is located, and a platform area identification result is reported to the CCO module, or the platform area identification result is stored to wait for the inquiry of the CCO module;
if a certain STA module receives the station area identification plans of a plurality of CCO modules, the STA module respectively calculates the self zero-crossing data variance in the same time period in each station area identification plan and the zero-crossing data variance of each CCO module, and calculates the Euclidean distance between the two variances as the characteristic data of the station area identification, and the specific steps are as follows:
s4-1, calculating the variance of the zero-crossing data corresponding to the station area identification plan based on the zero-crossing data sequence of the station area identification plan issued by the nth CCO module by the STA module, taking the variance as the characteristic value sequence of the STA module, and calculating the variance of the received zero-crossing data of all CCO modules to obtain the characteristic value sequence of each CCO module;
s4-2, each STA module respectively calculates the average value of Euclidean distances between the characteristic value sequence of the STA module and the received characteristic value sequence of each CCO module:
for a certain STA module, the mean value of Euclidean distances between the characteristic value sequence of the STA module and the characteristic value sequence of the nth CCO module
N is 1,2, …, N, VAR _ ZcDate _ STA in the formula
lnIndicating the l-th element in the characteristic value sequence of the station area identification plan of the STA module corresponding to the n-th CCO module, VAR _ ZCDate _ CCO
lnRepresenting the l element in the characteristic value sequence of the N CCO module, wherein N is the number of the CCO modules;
s4-3, each STA module finds out the minimum value of the Euclidean distance average value of the characteristic value sequence of the STA module and the received characteristic value sequence of each CCO module, judges the station area of the CCO module corresponding to the minimum value as the electric power station area of the STA module, reports the station area identification result to the CCO module, or stores the station area identification result to wait for the inquiry of the CCO module.
More specifically, the content of the station area identification plan includes the current network reference of the CCO, the zero-crossing data collection start time, and the zero-crossing data collection number.
More specifically, in step S2, the STA module responds to the station area identification plan of the CCO module of the broadband carrier network where the STA module is located, and also responds to the station area identification plans issued by the CCO modules of all other station areas that the STA module can receive.
More specifically, in step S2, the process of acquiring the power frequency zero-crossing data by the STA module is as follows:
and for a certain STA module, after receiving the station area identification plan issued by the nth CCO module, synchronizing the NTB of the STA module to the NTB of the CCO module according to the station area identification plan of the CCO module, and acquiring the power frequency zero-crossing data of the specified quantity at the specified zero-crossing data acquisition starting moment to obtain a corresponding zero-crossing data sequence.
According to the technical scheme, when the zero-crossing data features are extracted, the variance of the zero-crossing offset is extracted, then the mean value of Euclidean distances of the zero-crossing offset data variances of the STA and different CCOs is calculated, the mean value is used as a judgment basis, the zero-crossing data of the CCOs of a plurality of station areas are compared with the features of the zero-crossing data of the STA, the power station area where the CCO with the highest similarity is located is selected as the station area of the CCO, the variance of the zero-crossing offset data is used as the station area identification feature, the variance can reflect the shaking intensity of the mean value of the data sequence offset, the method is more suitable for practical application conditions, is favorable for improving the identification accuracy, and has higher identification success rate. The method of the invention adopts a distributed identification mechanism, the data analysis and judgment process during the station area identification is executed by each STA module, and the STA module only stores or reports the judgment result of the station area, thereby effectively reducing the quantity of zero-crossing data to be transmitted and not bringing great communication load.
Drawings
In order to illustrate the embodiments of the present invention more clearly, the drawings that are needed in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained by those skilled in the art without inventive effort.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
In order to make the aforementioned and other objects, features and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The process of the present invention is described in detail below with reference to FIG. 1. Before the station area identification, the white list function of the CCO modules of the adjacent station areas is closed, the STA module freely selects the CCO modules to access the network, the broadband carrier communication networking is completed, and the N CCO modules respectively form N broadband carrier networks. As shown in fig. 1, the method of the present invention comprises the steps of:
and S1, after networking is completed, the CCO modules of the transformer areas respectively make respective transformer area identification plans, and the respective transformer area identification plans are broadcast and transmitted to the STA modules. The content of the station area identification plan at least comprises the current network reference (hereinafter referred to as NTB) of the CCO module, the starting time of zero-crossing data acquisition, the number of zero-crossing data acquisition, and other relevant information, such as rising/falling edge types. Each COO module can decide by itself or by an upper-layer protocol when to issue the platform area identification plan and set parameters in the content of the platform area identification plan, and the platform area identification plans of each CCO module can be issued simultaneously or sequentially, and generally the platform area identification plans are issued at staggered time. The number of zero-crossing data acquisition in the platform area identification plan of each CCO module can be set to be the same, and the starting time of the zero-crossing data acquisition can be staggered.
And S2, each STA module in the transformer area receives the transformer area identification plan issued by each CCO module, and collects power frequency zero-crossing data of the power grid within a specified time according to the transformer area identification plan issued by the CCO module. The STA module responds to the station area identification plan issued by the CCO module of the broadband carrier network where the STA module is located, and also responds to the station area identification plans issued by the CCO modules of all other station areas (broadband carrier networks) that the STA module can receive. After a period of station identification process, the STA module may receive station identification plans of multiple CCO modules, or multiple station identification plans of the same CCO module. The process of acquiring power frequency zero-crossing data by the STA module is as follows:
for a certain STA module, after receiving a station area identification plan issued by the nth CCO module, synchronizing the NTB of the STA module to the NTB of the CCO module according to the station area identification plan of the CCO module, and acquiring the power frequency zero-crossing data of the specified quantity at the zero-crossing data acquisition starting moment specified by the station area identification plan to obtain a corresponding zero-crossing data sequence ZCDate _ STA
ln,
The superscript n is used to indicate that the STA is a zero-crossing data sequence of the station area identification plan corresponding to the nth CCO module, l indicates the first round of data acquisition of the CCO module, that is, l is the round of data acquisition, K
nThe number of zero-crossing data collection of the current round designated by the current CCO module (nth CCO module) is represented. The zero-crossing data of the invention refers to the difference between the power frequency zero-crossing period of the power grid acquired by the STA module/CCO module and the standard power frequency zero-crossing period (20 ms). When the STA module executes the station area identification plan, the station area identification plan of which CCO module is executed when the planning time of which CCO module is up and data acquisition is carried out, the overlapping of the station area identification plan time of a plurality of CCO modules does not influence the data acquisition, because the acquired data are all zero-crossing time, and the acquired data can be copied according to the time period requirement of the station area identification plan of each CCO.
And S3, the CCO module also acquires power frequency zero-crossing data of the power grid at the zero-crossing data acquisition starting time specified by the station area identification plan according to the station area identification plan, obtains a corresponding zero-crossing data array based on the power frequency zero-crossing data acquired by the CCO module, and then transmits the zero-crossing data array to each STA module. The zero-crossing data sequence of the nth CCO module is
The execution of the step S2 and the step S3 does not have a requirement of a sequential order, but performs data acquisition according to the time designated by the station identification plan.
S4, after each STA module receives the zero-crossing data sequence issued by the CCO module, each STA module respectively processes the received zero-crossing data sequences of all CCO modules and its own zero-crossing data sequence, and determines which station area it belongs to, and the specific steps are as follows:
if a certain STA module can only receive a platform area identification plan issued by one CCO module, the STA module is considered to belong to the platform area where the CCO module is located, and a platform area identification result is reported to the CCO module, or the platform area identification result is stored to wait for the inquiry of the CCO module; when the STA can receive the station area identification plans of a plurality of CCOs, it is described that the STA has a crosstalk signal and may cross the station area, and station area identification needs to be performed.
If a certain STA module can receive a station area identification plan of a plurality of CCO modules, the STA module can receive not only zero-crossing data of a wideband carrier network CCO module where the STA module is located, but also zero-crossing data of CCO modules in peripheral station areas, the STA module calculates a zero-crossing data variance of the STA module and zero-crossing data variances of the CCO modules in the station area identification plan in the same time period, and calculates an euclidean distance between the two variances as characteristic data of station area identification, and the specific steps are as follows:
s4-1, the number of zero-crossing data of a station area identification plan issued by a certain STA module corresponding to the nth CCO module is ZCDate _ STAlnThe STA module calculates the variance of the zero-crossing data of the station area identification plan in a certain time period according to the zero-crossing data sequence, and takes the variance as the characteristic value sequence VAR _ ZCDate _ STA of the STA modulelnThe zero-crossing data sequence collected by the nth CCO module is ZCDate _ CCOlnBased on ZCDate _ CCOlnThe STA module calculates the variance of the zero-crossing data of the CCO module in the same time period, and takes the variance as the characteristic value sequence VAR _ ZCDate _ CCO of the nth CCO modulelnThe time period can be selected according to the requirement and the actual situation; after calculation, each STA obtains the feature value sequences of the N CCO modules, in addition to the feature value sequences of the station area identification plans corresponding to the N CCO modules:
…… …… ……
s4-2, each STA module respectively calculates the average value of Euclidean distances between the characteristic value sequence of the STA module and the received characteristic value sequence of each CCO module;
for a certain STA module, the station area identification plan corresponding to the nth CCO module has a characteristic value sequence and the mean value of Euclidean distances of the characteristic value sequence of the nth CCO module
VAR _ ZCDate _ STA in formula
lnIndicating the l-th element in the characteristic value sequence of the station area identification plan of the STA module corresponding to the n-th CCO module, VAR _ ZCDate _ CCO
lnAnd the l element in the characteristic value sequence of the N CCO module is represented, and N is the number of the CCO modules.
S4-3, the STA module finds out the minimum value of the characteristic value sequence of the STA module and the Euclidean distance average value of the received characteristic value sequences of all CCO modules, judges the station zone of the CCO module corresponding to the minimum value as the electric power station zone to which the STA module belongs, and reports the station zone identification result to the CCO module, or stores the station zone identification result to wait for the inquiry of the CCO module.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.