Power distribution network closing and opening loop rotation power supply comprehensive optimization regulation and control system and method and storage medium

Abstract

The invention discloses a power distribution network loop closing and opening switching power supply comprehensive optimization regulation and control system and method, and a storage medium. Through a big data analysis and evaluation module, a power distribution network loop closing and opening switching information collection module, an engineer control module, and different power distribution network loop closing and opening switching parameter comparison lists on a to-be-optimized power grid loop closing and opening switching node, a power distribution network loop closing and opening switching node is optimized; on the basis of the benchmark reference speed, whether loop closing and opening power supply flow optimization regulation and control need to be carried out or not is determined; comparing the real-time speed visualization curve with a preset speed visualization curve to determine a to-be-optimized regulation and control loop switching power supply flow and an optimized regulation and control value; the data processing amount is reduced while the optimization regulation and control accuracy of the loop closing and opening power supply flow is ensured, so that the optimization regulation and control speed of the loop closing and opening power supply flow is improved; according to the method, the accuracy of optimization regulation and control of the loop closing and opening to power supply process is improved, so that the loop closing and opening conversion period of the power distribution network is more reasonable, and the safety of the power distribution network is ensured.

Description

Technical Field

[0001] The present invention relates to the field of optimization and control of power supply process of combining, decompressing and looping, and in particular to a comprehensive optimization and control system, method and storage medium for combining, decompressing and looping power supply of a distribution network. Background Art

[0002] The comprehensive optimization and control of power supply in the distribution network involves closing and unclosing operations in the distribution network, and realizes the rational allocation of power resources and the efficient operation of the power system by optimizing the control strategy. In the distribution network, the closing operation refers to connecting the originally separated parts of the power network, while the unclosing operation is to separate the already connected parts. Through these operations, the power load can be effectively balanced, the power grid loss can be reduced, and the reliability and stability of power supply can be improved. With the continuous growth of power demand and the increasing complexity of the power network, it is particularly important to develop an intelligent and automated closing and unclosing power supply control system. Such systems can not only monitor and analyze the power grid status in real time, but also quickly adjust the network structure in the event of a fault to ensure the continuous supply of power.

[0003] In existing technical methods, the closing and unclosing operations of distribution networks usually rely on traditional dispatching strategies and manual decision-making. These methods are often based on static power grid models and empirical data, and lack the ability to respond to dynamic changes in the power grid in real time. Due to the complex structure of the distribution network, the power flow and voltage of each line change in real time, and traditional methods are difficult to make optimal decisions in a rapidly changing environment. In addition, manual operations are easily affected by subjective judgments, which may lead to improper operations or untimely responses, and then cause problems such as power grid instability. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a comprehensive optimization and control system and method for the closing and unclosing power supply of a distribution network, which is used to solve the technical problem that the prior art needs to perform a large amount of data processing when optimizing and controlling the closing and unclosing power supply process, and cannot reasonably determine the timing of optimizing and controlling the closing and unclosing power supply process, resulting in the inability to take into account both the power flow direction and accuracy of the closing and unclosing power supply process.

[0005] To achieve the above-mentioned purpose, the first aspect of the present invention provides a distribution network closing and unclosing power supply comprehensive optimization and control system, including a big data analysis and evaluation module, and a distribution network closing and unclosing conversion information collection module and an engineer control module connected thereto; and the distribution network closing and unclosing conversion information collection module is connected to a single-phase comparison of different distribution network closing and unclosing conversion parameters on the closing and unclosing conversion node of the power grid to be optimized;

[0006] Distribution network closing / unclosing conversion information collection module: During the normal implementation of the closing / unclosing conversion node of the power grid to be optimized, the distribution network closing / unclosing conversion efficiency information of the regional location of the closing / unclosing conversion power supply process during the power system maintenance in different periods is collected through the distribution network closing / unclosing conversion parameter comparison list connected to it, and sent to the big data analysis and evaluation module;

[0007] Big data analysis and evaluation module: Use the association rule mining algorithm module in combination with Chart.js software to obtain the preset ideal power flow direction of the power grid closing and unclosing conversion node to be optimized, determine the real-time distribution network closing and unclosing conversion power flow direction based on the comprehensive power management information, and compare the preset ideal power flow direction with the real-time distribution network closing and unclosing conversion power flow direction to determine whether it is necessary to optimize and regulate the closing and unclosing power supply process; if optimization and regulation is required, collect the distribution network closing and unclosing conversion efficiency information of the regional location of the closing and unclosing power supply process during the power system maintenance in different time periods; if optimization and regulation is not required, then calculate the closing and unclosing conversion efficiency according to the distribution network closing and unclosing conversion parameters. Continue the distribution network closing and unclosing conversion according to the reference list; and calculate the closing and unclosing conversion efficiency information of the distribution network at the regional location to obtain the line power flow of the closing and unclosing power supply process at the regional location of the closing and unclosing power supply process during the power system maintenance in different time periods; draw a real-time power flow visualization curve for the line power flow of different closing and unclosing power supply processes, and compare and analyze the real-time power flow visualization curve with the preset power flow visualization curve to determine the optimized and regulated closing and unclosing power supply process during the power system maintenance; the preset power flow visualization curve is obtained by using the association rule mining algorithm module in combination with the Chart.js software.

[0008] Preferably, the big data analysis and evaluation module is respectively connected to the distribution network closing and unclosing ring conversion information collection module and the engineer control module; and the engineer control module includes a hardware abnormality prompt interface and a software program writing interface;

[0009] The distribution network closing and unclosing conversion information collection module is communicatively connected with the distribution network closing and unclosing conversion parameter comparison list on different power grid closing and unclosing conversion nodes to be optimized; and the distribution network closing and unclosing conversion parameter comparison list matches different distribution network closing and unclosing conversion operation steps of the closing and unclosing conversion power supply process during power system maintenance in different time periods.

[0010] Preferably, the big data analysis and evaluation module uses the association rule mining algorithm module to match and obtain the preset ideal power flow direction of the power grid closing and unclosing conversion node to be optimized, and uses the preset ideal power flow direction to determine whether it is necessary to optimize and regulate the closing and unclosing power supply process, including:

[0011] The association rule mining algorithm module is connected, and the optimal line power flow direction in the area of ​​the distribution network closing and unclosing ring conversion node under an ideal state is calculated therefrom; the grid closing and unclosing ring conversion node to be optimized has the same voltage as the distribution network closing and unclosing ring conversion node under an ideal state, or contains the same closing and unclosing ring conversion power supply process during the power system maintenance period;

[0012] Obtain the types of power flow directions of the distribution network closing / unclosing conversion operation steps for different optimal line power flows, which are recorded as preset ideal power flows; obtain the optimal line power flow direction of the grid closing / unclosing conversion node to be optimized, which is recorded as the real-time distribution network closing / unclosing conversion power flow direction; the types of power flow directions of the distribution network closing / unclosing conversion operation steps include the active power flow direction of the distribution network closing / unclosing conversion or the reactive power flow direction of the distribution network closing / unclosing conversion;

[0013] If the real-time distribution network closing and unclosing conversion power flow deviates from the preset ideal power flow, it is determined that the closing and unclosing conversion power supply process needs to be optimized and regulated for the closing and unclosing conversion node of the power grid to be optimized; otherwise, it is determined that there is no need to optimize the closing and unclosing conversion power supply process of the power grid to be optimized.

[0014] Preferably, when it is determined that the power supply process of the power grid closing / unclosing conversion node to be optimized needs to be optimized and regulated, the distribution network closing / unclosing conversion efficiency information of the regional location is acquired by collecting the distribution network closing / unclosing conversion parameter comparison list set on the power grid closing / unclosing conversion node to be optimized; and

[0015] The distribution network closing and unclosing conversion efficiency information of the regional location is screened and sent to the big data analysis and evaluation module; the distribution network closing and unclosing conversion efficiency information of the regional location includes the distribution network closing and unclosing conversion voltage flow data and process completion data.

[0016] Preferably, the big data analysis and evaluation module extracts the line power flow direction of the closing and unclosing power supply process corresponding to the closing and unclosing power supply process during the power system maintenance in different time periods from the closing and unclosing power supply process closing and unclosing power supply process efficiency information of the regional location distribution network, and draws the real-time power flow visualization curve based on the line power flow direction of different closing and unclosing power supply processes, including:

[0017] Extracting process completion data of the closing / unclosing power supply process during power system maintenance in different time periods from the closing / unclosing power supply efficiency information of the distribution network in the regional location, and using the process completion data to calculate the line power flow direction of the closing / unclosing power supply process in the regional location during power system maintenance in different time periods;

[0018] For the power flow directions of the lines in the different closing and unclosing power supply process, independent variables are established according to the closing and unclosing power supply process time, and the real-time power flow visualization curve is drawn by fitting with the power flow directions of the lines in the closing and unclosing power supply process as the dependent variable.

[0019] Preferably, the big data analysis and evaluation module obtains the preset power flow visualization curve based on the distribution network closing and unclosing conversion efficiency information of the regional location corresponding to the distribution network closing and unclosing conversion node when the optimal line power flow direction is achieved under different ideal conditions, including:

[0020] At least one distribution network closing / unclosing conversion node under the ideal state is selected from the distribution network closing / unclosing conversion nodes under different ideal states by using the optimal line power flow direction, and the distribution network closing / unclosing conversion efficiency information at the corresponding regional location is marked as the preset distribution network closing / unclosing conversion efficiency information;

[0021] The line power flow of the closing and unclosing power supply process of the closing and unclosing power supply process during the power system maintenance in different time periods is obtained from the closing and unclosing conversion efficiency information of the preset distribution network, and marked as the preset line power flow; the horizontal coordinates of different preset line power flows are plotted according to the regional positions to obtain the preset power flow visualization curve.

[0022] Preferably, the big data analysis and evaluation module compares the real-time power flow visualization curve with the preset power flow visualization curve, and optimizes and regulates the power supply process of closing and unclosing ring conversion during power system maintenance in different time periods according to the comparison result, including:

[0023] Compare the real-time power flow visualization curve with the preset power flow visualization curve, determine the closing / unclosing power supply process during the power system maintenance period corresponding to the peak overlap of the two visualization curves, and mark it as the closing / unclosing power supply process to be optimized and regulated;

[0024] The line power flow covariance of the closing and unclosing power supply process to be optimized and regulated is determined according to the real-time power flow visualization curve and the preset power flow visualization curve; the process completion data of the closing and unclosing power supply process to be optimized and regulated is adjusted within the closing and unclosing conversion voltage flow data of the distribution network to reduce the line power flow covariance.

[0025] The second aspect of the present invention provides a comprehensive optimization and control method for power supply of a distribution network, including:

[0026] By using the distribution network closing / opening conversion nodes and the corresponding optimal line power flows recorded in the association rule mining algorithm module under each ideal state, the preset ideal power flow direction is obtained based on the power flow direction types of the distribution network closing / opening conversion operation steps of different optimal line power flows;

[0027] Obtain the real-time distribution network closing / unclosing conversion power flow direction of the power grid closing / unclosing conversion node to be optimized; compare the real-time distribution network closing / unclosing conversion power flow direction with the preset ideal power flow direction to determine whether to optimize and regulate the closing / unclosing conversion power supply process for the power grid closing / unclosing conversion node to be optimized; if optimization and regulation are required, perform S300; if optimization and regulation are not required, continue the distribution network closing / unclosing conversion according to the distribution network closing / unclosing conversion parameter comparison list;

[0028] According to the collected regional location distribution network closing and unclosing conversion efficiency information, the line power flow of the closing and unclosing conversion power supply process during the power system maintenance in different time periods is calculated, and then the real-time power flow visualization curve is obtained; the real-time power flow visualization curve is compared with the preset power flow visualization curve to determine and optimize the closing and unclosing conversion power supply process during the power system maintenance.

[0029] The present invention also provides a storage medium for storing computer executable instructions, which, when executed, implements a comprehensive optimization and control method for power supply in a distribution network.

[0030] The beneficial effects are:

[0031] The present invention proposes a comprehensive optimization and control system, method and storage medium for distribution network closing and unclosing power supply. First, a preset ideal power flow direction is determined according to the distribution network closing and unclosing conversion node under an ideal state, and whether the closing and unclosing power supply process needs to be optimized and regulated based on the preset ideal power flow direction; the power flow directions of the lines of different closing and unclosing power supply processes are obtained by analyzing the closing and unclosing conversion efficiency information of the regional location of the power grid closing and unclosing conversion node to be optimized, and then the real-time power flow visualization curve is sorted and obtained; the real-time power flow visualization curve is compared with the preset power flow visualization curve obtained through the distribution network closing and unclosing conversion node under the ideal state to determine the closing and unclosing power supply process to be optimized and the optimization control value; while ensuring the accuracy of the optimization and regulation of the closing and unclosing power supply process, the data processing amount is reduced. By comparing the real-time power flow visualization curve and the preset power flow visualization curve, the present invention can not only determine which power system maintenance closing and unclosing ring conversion power supply processes need to be adjusted, but also determine the adjustment range, thereby accelerating the efficiency of optimizing and regulating the closing and unclosing ring conversion power supply processes; and after the closing and unclosing ring conversion node to be optimized completes the closing and unclosing ring conversion power supply process, the relevant data can also be uploaded to the association rule mining algorithm module to adjust the distribution network closing and unclosing ring conversion node under an ideal state, which helps to improve the accuracy of optimizing and regulating the closing and unclosing ring conversion power supply process, and makes the cycle of the distribution network closing and unclosing ring conversion more reasonable, thereby ensuring the effective implementation of the distribution network closing and unclosing ring conversion. The present invention avoids operating errors caused by manual operation, improves work efficiency, and ensures the safety of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 It is a schematic diagram of the system module composition of the present invention;

[0034] Figure 2 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Example 1

[0037] like Figure 1 As shown, the first aspect of the present invention provides a comprehensive optimization and control system for power supply of distribution network closing and unclosing, including a big data analysis and evaluation module, and a distribution network closing and unclosing conversion information collection module and an engineer control module connected thereto; and the distribution network closing and unclosing conversion information collection module is connected to a single-phase comparison of different distribution network closing and unclosing conversion parameters on the closing and unclosing conversion node of the power grid to be optimized;

[0038] Distribution network closing / unclosing conversion information collection module: During the normal implementation of the closing / unclosing conversion node of the power grid to be optimized, the distribution network closing / unclosing conversion efficiency information of the regional location of the closing / unclosing conversion power supply process during the power system maintenance in different periods is collected through the distribution network closing / unclosing conversion parameter comparison list connected to it, and sent to the big data analysis and evaluation module;

[0039] Big data analysis and evaluation module: Use the association rule mining algorithm module in combination with Chart.js software to obtain the preset ideal power flow direction of the power grid closing and unclosing conversion node to be optimized, determine the real-time distribution network closing and unclosing conversion power flow direction based on the comprehensive power management information, and compare the preset ideal power flow direction with the real-time distribution network closing and unclosing conversion power flow direction to determine whether it is necessary to optimize and regulate the closing and unclosing power supply process; if optimization and regulation is required, collect the distribution network closing and unclosing conversion efficiency information of the regional location of the closing and unclosing power supply process during the power system maintenance in different time periods; if optimization and regulation is not required, continue the distribution network closing and unclosing conversion according to the distribution network closing and unclosing conversion parameter comparison list; and

[0040] The power flow direction of the power supply process lines in the regional locations of the power supply process during the power system maintenance in different periods is obtained by calculating the conversion efficiency information of the distribution network at the regional locations; a real-time power flow visualization curve is drawn for the power flow directions of the lines of different power supply process lines, and the real-time power flow visualization curve is compared and analyzed with the preset power flow visualization curve to determine the optimized and regulated power supply process during the power system maintenance; the preset power flow visualization curve is obtained by using the association rule mining algorithm module in combination with the Chart.js software.

[0041] The optimization and regulation of the closing, unblocking and ring-turning power supply process in the prior art mainly optimizes and regulates various parameters of the closing, unblocking and ring-turning power supply process, generally by comparing and adjusting the process completion data of the closing, unblocking and ring-turning power supply process with the optimal implementation parameters. However, this method is only effective for optimizing and regulating a single closing, unblocking and ring-turning power supply process, and the effect is not good when multiple closing, unblocking and ring-turning power supply processes need to be implemented in coordination. A particle swarm model can also be established according to the combination of the optimal parameters of the closing, unblocking and ring-turning power supply process, and the particle swarm model is used to search in the constructed search space to complete the optimization and regulation of multiple closing, unblocking and ring-turning power supply processes. This method requires a lot of data preparation work, which affects the power flow and accuracy of the optimization and regulation of the closing, unblocking and ring-turning power supply process.

[0042] The present invention application first determines a preset ideal power flow direction according to the distribution network closing and unclosing conversion node under an ideal state, and determines whether it is necessary to optimize and regulate the closing and unclosing power supply process based on the preset ideal power flow direction; obtains the power flow directions of the lines of different closing and unclosing power supply processes by analyzing the closing and unclosing conversion efficiency information of the regional location of the power grid closing and unclosing conversion node to be optimized, and then sorts out and obtains a real-time power flow visualization curve; compares the real-time power flow visualization curve with the preset power flow visualization curve obtained through the distribution network closing and unclosing conversion node under the ideal state to determine the closing and unclosing power supply process to be optimized and the optimization regulation value; reduces the data processing amount while ensuring the accuracy of the optimization regulation of the closing and unclosing power supply process, thereby improving the power flow direction of the closing and unclosing power supply process.

[0043] In the application of the present invention, the big data analysis and evaluation module is communicated with the distribution network closing and unclosing conversion information collection module and the engineer control module respectively; and the engineer control module includes a hardware abnormality prompt interface and a software program writing interface; the distribution network closing and unclosing conversion information collection module is communicated with the distribution network closing and unclosing conversion parameter comparison list on different power grid closing and unclosing conversion nodes to be optimized; and the distribution network closing and unclosing conversion parameter comparison list matches different distribution network closing and unclosing conversion operation steps of the closing and unclosing conversion power supply process during power system maintenance in different time periods.

[0044] The big data analysis and evaluation module mainly performs data processing, and exchanges data with the distribution network closing and unclosing conversion information collection module and the engineer control module. The engineer control module is used to display the optimization and regulation process of the closing and unclosing conversion power supply process, and present the optimization and regulation suggestions to the staff. The distribution network closing and unclosing conversion information collection module is mainly used to collect the distribution network closing and unclosing conversion efficiency information of the regional location of the power grid closing and unclosing conversion nodes to be optimized, and exchanges data with the distribution network closing and unclosing conversion parameter comparison sheet and the big data analysis and evaluation module. It should be noted that the distribution network closing and unclosing conversion parameter comparison sheet includes cameras, power flow sensors, etc., which can be set next to the closing and unclosing conversion power supply process during power system maintenance, and can be installed inside the closing and unclosing conversion power supply process during power system maintenance if necessary.

[0045] The association rule mining algorithm module mainly stores the distribution network closing and unclosing conversion nodes under different ideal conditions and the corresponding distribution network closing and unclosing conversion efficiency information. The various distribution network closing and unclosing conversion efficiency information includes the process completion data of each closing and unclosing power supply process under the optimal line power flow state. And the relevant data in the association rule mining algorithm module will be updated in a timely manner to ensure the reliability of the association rule mining algorithm module. It can be understood that after the closing and unclosing power supply process of the power system maintenance in different time periods of the power grid closing and unclosing conversion node to be optimized is optimized and regulated, and after the optimal line power flow is achieved, the power grid closing and unclosing conversion node to be optimized and the related data can also be uploaded to the association rule mining algorithm module as the distribution network closing and unclosing conversion node under the ideal state.

[0046] The big data analysis and evaluation module in the present invention uses the association rule mining algorithm module to match and obtain the preset ideal power flow direction of the power grid closing and unclosing conversion node to be optimized, and determines whether it is necessary to optimize and control the closing and unclosing power supply process based on the preset ideal power flow direction, including:

[0047] The association rule mining algorithm module is connected, and the optimal line power flow direction within the regional position of the distribution network closing and unclosing ring conversion node under the ideal state is calculated therefrom; the power flow direction types of the distribution network closing and unclosing ring conversion operation steps with different optimal line power flows are obtained, which are recorded as the preset ideal power flows; the optimal line power flow direction of the closing and unclosing ring conversion node of the power grid to be optimized is obtained, which is recorded as the real-time distribution network closing and unclosing ring conversion power flow direction; when the real-time distribution network closing and unclosing ring conversion power flow direction deviates from the preset ideal power flow direction, it is determined that the closing and unclosing ring conversion power supply process needs to be optimized for the closing and unclosing ring conversion node of the power grid to be optimized; otherwise, it is determined that the closing and unclosing ring conversion power supply process does not need to be optimized.

[0048] After connecting the association rule mining algorithm module, the optimal line power flow corresponding to the distribution network closing and unclosing conversion node under different ideal conditions is obtained, and the preset ideal power flow is determined based on the distribution characteristics of each optimal line power flow. If the real-time distribution network closing and unclosing conversion power flow of the power grid closing and unclosing conversion node to be optimized deviates from the preset ideal power flow, it can be understood that the overall line power flow of the power grid closing and unclosing conversion node to be optimized is lower than the average level, or is not in the optimal state. At this time, it is necessary to optimize and regulate the closing and unclosing power supply process.

[0049] The voltage of the grid closing / unclosing conversion node to be optimized is the same as that of the distribution network closing / unclosing conversion node under the ideal state, or the closing / unclosing conversion power supply process during the power system maintenance period is the same. It is generally believed that the grid closing / unclosing conversion node to be optimized and the distribution network closing / unclosing conversion node under the ideal state are overlapped, that is, different distribution network closing / unclosing conversion nodes of a line, and the association rule mining algorithm module can also immediately establish a data service platform for the manufacturer. It should be understood that after obtaining the optimal line power flow of the distribution network closing / unclosing conversion node under different ideal states, a reasonable distribution network closing / unclosing conversion operation step power flow type should be used to determine the preset ideal power flow to avoid the influence of extreme values ​​on the rationality of the preset ideal power flow.

[0050] When it is determined that the power supply process of the power grid closing / unclosing conversion node to be optimized needs to be optimized and regulated, the present invention application collects and obtains the closing / unclosing conversion efficiency information of the regional distribution network through a distribution network closing / unclosing conversion parameter comparison list set on the power grid closing / unclosing conversion node to be optimized; and the closing / unclosing conversion efficiency information of the regional distribution network is screened and sent to a big data analysis and evaluation module.

[0051] The screening of the regional distribution network closing and unclosing conversion efficiency information mentioned here is mainly to remove outliers. The regional distribution network closing and unclosing conversion efficiency information includes the distribution network closing and unclosing conversion voltage flow data and process completion data. The standard implementation limit is the limit value of the closing and unclosing conversion power supply process during the maintenance of the power system, such as the speed limit value; and the process completion data is the actual parameters of the closing and unclosing conversion node to be optimized during the implementation process, such as the actual speed value. The process completion data should be within the range of the implementation limit, otherwise it is determined that the distribution network closing and unclosing conversion parameter comparison sheet or the closing and unclosing conversion power supply process during the maintenance of the power system is abnormal, and a timely warning is issued.

[0052] The big data analysis and evaluation module in the present invention application extracts the power flow direction of the closing and unclosing power supply process corresponding to the closing and unclosing power supply process during the power system maintenance in different time periods from the closing and unclosing power supply process closing and unclosing power supply process efficiency information of the regional location distribution network, and obtains the real-time power flow visualization curve based on the power flow direction of the lines of different closing and unclosing power supply processes, including:

[0053] The process completion data of the closing and unclosing power supply process during the power system maintenance in different periods are extracted from the closing and unclosing conversion efficiency information of the regional distribution network. Based on the process completion data, the line power flow of the closing and unclosing power supply process during the power system maintenance in different periods within the regional location is calculated. For the line power flow of different closing and unclosing power supply processes, independent variables are established according to the closing and unclosing conversion time of the distribution network. The line power flow of the closing and unclosing power supply process is fitted with the dependent variable to obtain the real-time power flow visualization curve.

[0054] The power grid closing and unclosing nodes to be optimized are divided to obtain the closing and unclosing power supply process during different power system maintenance periods. The closing and unclosing power supply process during power system maintenance is preferably a closing and unclosing power supply process with automatically adjustable parameters, so as to realize the automatic optimization and regulation of the closing and unclosing power supply process through the big data analysis and evaluation module. The power flow of the closing and unclosing power supply process during the power system maintenance period in different periods is calculated through the process completion data, and the real-time power flow visualization curve is obtained by fitting.

[0055] The big data analysis and evaluation module in the present invention obtains a preset power flow visualization curve based on the distribution network closing and unclosing conversion efficiency information of the regional location corresponding to the distribution network closing and unclosing conversion node when the optimal line power flow direction is achieved under different ideal conditions, including:

[0056] Based on the optimal line power flow direction, at least one distribution network closing and unclosing conversion node under an ideal state is selected from the distribution network closing and unclosing conversion nodes under different ideal states, and the corresponding regional location distribution network closing and unclosing conversion efficiency information is marked as the preset distribution network closing and unclosing conversion efficiency information; the line power flow direction of the closing and unclosing conversion power supply process of the closing and unclosing conversion power supply process during the power system maintenance in different time periods is obtained from the preset distribution network closing and unclosing conversion efficiency information, and marked as the preset line power flow direction; the horizontal coordinates of different preset line power flows are drawn according to the regional positions to obtain the preset power flow visualization curve.

[0057] In order to improve the overall line power flow of the power grid closing and unclosing conversion node to be optimized, it is necessary to provide data reference for the optimization and regulation of its closing and unclosing power supply process, that is, to reasonably select an optimal line power flow from the association rule mining algorithm module (generally better than the real-time distribution network closing and unclosing conversion power flow of the power grid closing and unclosing conversion node to be optimized), and mark the corresponding regional location distribution network closing and unclosing conversion efficiency information as the preset distribution network closing and unclosing conversion efficiency information, so that the preset power flow visualization curve can be obtained accordingly.

[0058] It is worth noting that by reasonably selecting the preset distribution network closing and unclosing conversion efficiency information, not only can the implementation power flow of the closing and unclosing conversion power supply process during the power system maintenance in different periods of the closing and unclosing conversion nodes of the power grid to be optimized be improved, but also the implementation power flow of the closing and unclosing conversion power supply process during the power system maintenance in different periods of the closing and unclosing conversion nodes of the power grid to be optimized can be reasonably reduced when necessary; this adjustment method is suitable for the scenario where the closing and unclosing conversion nodes of the power grid to be optimized need to be adjusted at any time.

[0059] The big data analysis and evaluation module in the present invention compares the real-time power flow visualization curve with the preset power flow visualization curve, and optimizes and regulates the power supply process of closing and unclosing ring conversion during the maintenance of the power system in different time periods according to the comparison results, including:

[0060] By comparing the real-time power flow visualization curve and the preset power flow visualization curve, the closing and unclosing power supply process during the power system maintenance period corresponding to the overlapping part of the peaks of the two visualization curves is determined, and marked as the closing and unclosing power supply process to be optimized and regulated; the line power flow covariance of the closing and unclosing power supply process to be optimized and regulated is determined according to the real-time power flow visualization curve and the preset power flow visualization curve; the process completion data of the closing and unclosing power supply process to be optimized and regulated is adjusted within the closing and unclosing voltage flow data of the distribution network to reduce the line power flow covariance.

[0061] When comparing the real-time power flow visualization curve and the preset power flow visualization curve, first determine which positions of the two do not overlap. The corresponding power supply process of closing and unclosing during the maintenance of the power system can be determined by the numbering of these positions. These power supply processes of closing and unclosing during the maintenance of the power system are the power supply processes of closing and unclosing to be optimized and regulated. As for the specific degree of adjustment required for the power supply process of closing and unclosing to be optimized and regulated, the data of the process of adjusting the power supply process of closing and unclosing during the maintenance of the power system can be completed within the range of the voltage flow data of the closing and unclosing of the distribution network according to the covariance between the two visualization curves.

[0062] Example 2

[0063] like Figure 2 As shown, the second embodiment of the present invention provides a method for comprehensive optimization and control of power supply of distribution network integration and decompression, including:

[0064] S100, using the distribution network closing / opening conversion nodes and the corresponding optimal line power flows under each ideal state recorded in the association rule mining algorithm module, and obtaining a preset ideal power flow based on the power flow types of the distribution network closing / opening conversion operation steps of different optimal line power flows;

[0065] S200, obtaining the real-time distribution network closing and unclosing power flow direction of the power grid closing and unclosing conversion node to be optimized; comparing the real-time distribution network closing and unclosing power flow direction with the preset ideal power flow direction to determine whether to optimize and regulate the closing and unclosing power supply process of the power grid closing and unclosing conversion node to be optimized; if optimization and regulation are required, proceed to S300; if optimization and regulation are not required, continue the distribution network closing and unclosing conversion according to the distribution network closing and unclosing conversion parameter comparison list;

[0066] S300. Calculate and obtain the line power flow of the closing / unclosing power supply process of the closing / unclosing power supply process during the power system maintenance in different time periods based on the collected closing / unclosing conversion efficiency information of the regional distribution network, and then obtain a real-time power flow visualization curve; compare the real-time power flow visualization curve with the preset power flow visualization curve to determine and optimize the closing / unclosing power supply process during the power system maintenance.

[0067] Example 3

[0068] Based on the same inventive concept as Example 1, a computer-readable storage medium is provided in an embodiment of the present invention, on which a computer program is stored, and when the program is executed by a processor, the steps of any method described in Example 1 are implemented.

[0069] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can take the form of a computer program product implemented on one or more available storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.).

[0070] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0071] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0073] Working principle of the present invention:

[0074] By utilizing the distribution network closing / unclosing conversion nodes and the corresponding optimal line power flows under each ideal state recorded in the association rule mining algorithm module, the preset ideal power flow is obtained based on the power flow types of the distribution network closing / unclosing conversion operation steps with different optimal line power flows.

[0075] Obtain the real-time distribution network closing / unclosing conversion power flow direction of the power grid closing / unclosing conversion node to be optimized; compare the real-time distribution network closing / unclosing conversion power flow direction with the preset ideal power flow direction to determine whether to optimize and regulate the closing / unclosing conversion power supply process of the power grid closing / unclosing conversion node to be optimized; if optimization and regulation are required, proceed to S300; if optimization and regulation are not required, continue the distribution network closing / unclosing conversion according to the distribution network closing / unclosing conversion parameter comparison list.

[0076] According to the collected regional location distribution network closing and unclosing conversion efficiency information, the line power flow of the closing and unclosing conversion power supply process during the power system maintenance in different time periods is calculated, and then the real-time power flow visualization curve is obtained; the real-time power flow visualization curve is compared with the preset power flow visualization curve to determine and optimize the closing and unclosing conversion power supply process during the power system maintenance.

[0077] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The comprehensive optimization and control system for power supply of distribution network is characterized by: The system includes a big data analysis and evaluation module, a distribution network closing and unclosing conversion information collection module, an engineer control module, and a comparison list of different distribution network closing and unclosing conversion parameters on the power network closing and unclosing conversion nodes to be optimized; The distribution network closing / unclosing conversion information collection module is used to collect the regional location distribution network closing / unclosing conversion efficiency information of the closing / unclosing conversion power supply process during the power system maintenance in different time periods through the distribution network closing / unclosing conversion parameter comparison list connected thereto during the normal implementation of the power grid closing / unclosing conversion node to be optimized, and send it to the big data analysis and evaluation module; The big data analysis and evaluation module is used to use the association rule mining algorithm module in combination with the Chart.js software to obtain the preset ideal power flow direction of the power grid closing and unclosing conversion node to be optimized, determine the real-time distribution network closing and unclosing conversion power flow direction according to the comprehensive power management information, and compare the preset ideal power flow direction with the real-time distribution network closing and unclosing conversion power flow direction to determine whether it is necessary to optimize and regulate the closing and unclosing power supply process; If optimization and regulation are required, the distribution network closing and unclosing conversion efficiency information of the regional location of the closing and unclosing power supply process during the power system maintenance in different time periods is collected. If optimization and regulation is not required, the distribution network closing and unclosing conversion is continued according to the distribution network closing and unclosing conversion parameter comparison list; and the power flow direction of the closing and unclosing power supply process at the regional location of the closing and unclosing power supply process during the power system maintenance in different time periods is calculated according to the distribution network closing and unclosing conversion efficiency information at the regional location; a real-time power flow visualization curve is drawn for the line power flow directions of different closing and unclosing power supply process processes, and the real-time power flow visualization curve is compared and analyzed with the preset power flow visualization curve to determine the closing and unclosing power supply process during the power system maintenance that is optimized and regulated; the preset power flow visualization curve is obtained by using the association rule mining algorithm module in combination with the Chart.js software.

2. The power supply integrated optimization control system for distribution network integration and decompression according to claim 1 is characterized in that: The big data analysis and evaluation module is respectively connected to the distribution network closing and unclosing ring conversion information collection module and the engineer control module; and the engineer control module includes a hardware abnormality prompt interface and a software program writing interface; The distribution network closing and unclosing conversion information collection module is communicatively connected with the distribution network closing and unclosing conversion parameter comparison list on different power grid closing and unclosing conversion nodes to be optimized; and the distribution network closing and unclosing conversion parameter comparison list matches different distribution network closing and unclosing conversion operation steps of the closing and unclosing conversion power supply process during power system maintenance in different time periods.

3. The power supply integrated optimization control system for distribution network integration and decompression according to claim 1 is characterized in that: The big data analysis and evaluation module uses the association rule mining algorithm module to match and obtain the preset ideal power flow direction of the power grid closing and unclosing conversion node to be optimized, and uses the preset ideal power flow direction to determine whether it is necessary to optimize and regulate the closing and unclosing power supply process, including: The association rule mining algorithm module is connected, and the optimal line power flow direction in the area of ​​the distribution network closing and unclosing ring conversion node under an ideal state is calculated therefrom; the grid closing and unclosing ring conversion node to be optimized has the same voltage as the distribution network closing and unclosing ring conversion node under an ideal state, or contains the same closing and unclosing ring conversion power supply process during the power system maintenance period; Obtain the types of power flow directions of the distribution network closing / unclosing conversion operation steps for different optimal line power flows, which are recorded as preset ideal power flows; obtain the optimal line power flow direction of the grid closing / unclosing conversion node to be optimized, which is recorded as the real-time distribution network closing / unclosing conversion power flow direction; the types of power flow directions of the distribution network closing / unclosing conversion operation steps include the active power flow direction of the distribution network closing / unclosing conversion or the reactive power flow direction of the distribution network closing / unclosing conversion; If the real-time distribution network closing and unclosing conversion power flow deviates from the preset ideal power flow, it is determined that the closing and unclosing conversion power supply process needs to be optimized and regulated for the closing and unclosing conversion node of the power grid to be optimized; otherwise, it is determined that there is no need to optimize the closing and unclosing conversion power supply process of the power grid to be optimized.

4. The power supply integrated optimization control system for distribution network integration and decompression according to claim 3 is characterized in that: When it is determined that the closing and unclosing power supply process of the power grid closing and unclosing conversion node to be optimized needs to be optimized and regulated, the closing and unclosing conversion efficiency information of the regional location distribution network is collected and acquired through the distribution network closing and unclosing conversion parameter reference list set on the power grid closing and unclosing conversion node to be optimized; and the closing and unclosing conversion efficiency information of the regional location distribution network is screened and sent to the big data analysis and evaluation module; the closing and unclosing conversion efficiency information of the regional location distribution network includes the closing and unclosing conversion voltage flow data and process completion data of the distribution network.

5. The power supply integrated optimization control system for distribution network integration and decompression according to claim 4 is characterized in that: The big data analysis and evaluation module extracts the line power flow direction of the closing and unclosing power supply process corresponding to the closing and unclosing power supply process during the power system maintenance in different time periods from the closing and unclosing power supply process closing and unclosing power supply process efficiency information of the regional location, and draws the real-time power flow visualization curve based on the line power flow direction of different closing and unclosing power supply processes, including: The process completion data of the closing / unclosing conversion power supply process during the power system maintenance in different time periods are extracted from the closing / unclosing conversion efficiency information of the distribution network in the regional location, and the line power flow direction of the closing / unclosing conversion power supply process within the regional location during the power system maintenance in different time periods is calculated using the process completion data.

6. The power supply integrated optimization control system for distribution network integration and decompression according to claim 5 is characterized in that: The big data analysis and evaluation module obtains the preset power flow visualization curve based on the distribution network closing and breaking ring conversion efficiency information of the regional location corresponding to the distribution network closing and breaking ring conversion node when the optimal line power flow direction is achieved under different ideal conditions, including: Select at least one distribution network closing / unclosing conversion node under an ideal state from the distribution network closing / unclosing conversion nodes under different ideal states by using the optimal line power flow direction, and mark the distribution network closing / unclosing conversion efficiency information at the corresponding regional location as the preset distribution network closing / unclosing conversion efficiency information; The line power flow of the closing and unclosing power supply process of the closing and unclosing power supply process during the power system maintenance in different time periods is obtained from the closing and unclosing conversion efficiency information of the preset distribution network, and marked as the preset line power flow; the horizontal coordinates of different preset line power flows are plotted according to the regional positions to obtain the preset power flow visualization curve.

7. The power supply integrated optimization control system for distribution network integration and decompression according to claim 6 is characterized in that: The big data analysis and evaluation module compares the real-time power flow visualization curve with the preset power flow visualization curve, and optimizes and regulates the power supply process of closing and unclosing ring conversion during power system maintenance in different time periods according to the comparison result, including: Compare the real-time power flow visualization curve with the preset power flow visualization curve, determine the closing / unclosing power supply process during the power system maintenance period corresponding to the peak overlap of the two visualization curves, and mark it as the closing / unclosing power supply process to be optimized and regulated; The line power flow covariance of the closing and unclosing power supply process to be optimized and regulated is determined according to the real-time power flow visualization curve and the preset power flow visualization curve; the process completion data of the closing and unclosing power supply process to be optimized and regulated is adjusted within the closing and unclosing conversion voltage flow data of the distribution network to reduce the line power flow covariance.

8. The distribution network integration and decompression power supply comprehensive optimization control system according to any one of claims 1 to 7, characterized in that: The system is realized through the comprehensive optimization and control method of distribution network integration and decompression power supply, including: S100, using the distribution network closing / opening conversion nodes and the corresponding optimal line power flows under each ideal state recorded in the association rule mining algorithm module, and obtaining a preset ideal power flow based on the power flow types of the distribution network closing / opening conversion operation steps of different optimal line power flows; S200, obtaining the real-time distribution network closing and unclosing power flow direction of the power grid closing and unclosing conversion node to be optimized; comparing the real-time distribution network closing and unclosing power flow direction with the preset ideal power flow direction to determine whether to optimize and regulate the closing and unclosing power supply process of the power grid closing and unclosing conversion node to be optimized; if optimization and regulation are required, proceed to S300; if optimization and regulation are not required, continue the distribution network closing and unclosing conversion according to the distribution network closing and unclosing conversion parameter comparison list; S300. Calculate and obtain the line power flow of the closing / unclosing power supply process of the closing / unclosing power supply process during the power system maintenance in different time periods based on the collected closing / unclosing conversion efficiency information of the regional distribution network, and then obtain a real-time power flow visualization curve; compare the real-time power flow visualization curve with the preset power flow visualization curve to determine and optimize the closing / unclosing power supply process during the power system maintenance.

9. A storage medium for storing computer executable instructions, characterized in that: The computer executable instructions, when executed, implement the comprehensive optimization and control method for power supply integration and decompression of the distribution network as described in claim 8 above.

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