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

Abstract

The application discloses a power distribution network combined loop conversion power supply comprehensive optimization control system and method and a storage medium. The application determines whether the combined loop conversion power supply process optimization control needs to be performed based on a benchmark reference speed by a big data analysis and evaluation module, a power distribution network combined loop conversion information set module, an engineer control module and a different power distribution network combined loop conversion parameter control sheet on a to-be-optimized power grid combined loop conversion node. Then, the real-time speed visual curve and the preset speed visual curve are compared to determine the to-be-optimized control combined loop conversion power supply process and the optimization control value. While ensuring the accuracy of the combined loop conversion power supply process optimization control, the data processing amount is reduced, and then the combined loop conversion power supply process optimization control speed is improved. The application improves the accuracy of the combined loop conversion power supply process optimization control, makes the combined loop conversion period of the power distribution network more reasonable, and thus ensures the safety of the power distribution network.

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] Comprehensive optimization and control of distribution network power supply switching involves performing switching operations within the distribution network. By optimizing control strategies, this approach aims to achieve rational allocation of power resources and efficient operation of the power system. In distribution networks, switching operations involve connecting previously separate sections of the power network, while switching operations involve separating already connected sections. These operations effectively balance power loads, reduce grid losses, and improve power supply reliability and stability. With the continuous growth of electricity demand and the increasing complexity of power networks, the development of intelligent and automated switching and switching power supply control systems has become increasingly important. Such systems not only monitor and analyze grid status in real time but also rapidly adjust network structure in the event of a fault, ensuring a continuous power supply.

[0003] Existing technical approaches to closing and unclosing distribution networks typically rely on traditional scheduling strategies and manual decision-making. These methods are often based on static grid models and empirical data, lacking the ability to respond in real time to dynamic grid changes. Due to the complex structure of distribution networks and the real-time changes in power flow and voltage across individual lines, traditional methods struggle to make optimal decisions in this ever-changing environment. Furthermore, manual operations are susceptible to subjective judgment, which can lead to improper operation or untimely response, further contributing to grid instability and other issues. 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, decoupling and ring-switch power supply of a distribution network, which is used to solve the technical problems in the prior art that a large amount of data processing is required when optimizing and controlling the closing, decoupling and ring-switch power supply process, and the timing of optimizing and controlling the closing, decoupling and ring-switch power supply process cannot be reasonably determined, resulting in the inability to take into account both the power flow direction and accuracy of the optimizing and controlling the closing, decoupling and ring-switch power supply process.

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

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

[0007] Big data analysis and evaluation module: Utilize 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, 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 regional location distribution network closing and unclosing conversion efficiency information 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 power supply process 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 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; draw a real-time power flow visualization curve for the line power flow direction 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 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 / unclosing conversion information collection module is communicatively connected with the distribution network closing / unclosing conversion parameter comparison list on different grid closing / unclosing conversion nodes to be optimized; and the distribution network closing / unclosing conversion parameter comparison list matches different distribution network closing / unclosing conversion operation steps of the closing / 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 control the closing and unclosing power supply process, including:

[0011] Connect the association rule mining algorithm module and calculate the optimal line power flow direction within the distribution network closing and unclosing ring conversion node area under an ideal state; 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 power system maintenance;

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

[0013] If the real-time distribution network closing and unclosing conversion power flow direction deviates from the preset ideal power flow direction, it is determined that the closing and unclosing conversion power supply process of the grid closing and unclosing conversion node to be optimized needs to be optimized and regulated; otherwise, it is determined that the closing and unclosing conversion power supply process of the grid closing and unclosing conversion node to be optimized does not need to be optimized and regulated.

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

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

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

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

[0018] For the power flow directions of the different closing and unclosing power supply process lines, independent variables are established according to the closing and unclosing power supply process switching time of the distribution network, and the power flow directions of the closing and unclosing power supply process lines are used as dependent variables to fit and draw the real-time power flow visualization curve.

[0019] Preferably, the big data analysis and evaluation module obtains the preset power flow visualization curve based on the distribution network closing and opening conversion efficiency information of the regional location corresponding to the distribution network closing and opening conversion node when achieving the optimal line power flow 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 of the corresponding regional location is marked as the preset distribution network closing / unclosing conversion efficiency information;

[0021] The line power flow direction 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 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 position 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 opening the power system during maintenance of the power system in different time periods according to the comparison result, including:

[0023] Comparing the real-time power flow visualization curve with the preset power flow visualization curve, determining the closing / unclosing power supply process during the power system maintenance period corresponding to the peak overlap of the two visualization curves, and marking 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] A second aspect of the present invention provides a method for comprehensive optimization and control of power supply in a distribution network, including:

[0026] 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, the preset ideal power flow direction is obtained based on the power flow direction types of the distribution network closing / opening conversion operation steps with different optimal line power flows;

[0027] Obtain the real-time distribution network closing / unclosing conversion power flow direction of the 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 power supply process for the 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 sheet;

[0028] Based on the collected regional distribution network closing and opening conversion efficiency information, the line power flow of the closing and opening 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 opening 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 regional location of the distribution network closing and unclosing conversion node to be optimized, and then a real-time power flow visualization curve is 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 volume 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 controlling the closing and unclosing ring conversion power supply processes; and after the closing and unclosing ring conversion node of the power grid 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 the ideal state, which helps to improve the accuracy of optimizing and controlling the closing and unclosing ring conversion power supply process, makes the distribution network closing and unclosing ring conversion cycle more reasonable, thereby ensuring the effective implementation of the distribution network closing and unclosing ring conversion. The present invention avoids operational 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 following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

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

[0034] Figure 2 Schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0035] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] Example 1

[0037] like Figure 1 As shown, the embodiment of 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;

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

[0039] Big data analysis and evaluation module: Utilizes the association rule mining algorithm module in conjunction with Chart.js software to obtain the preset ideal power flow direction of the grid closing and unclosing conversion node to be optimized. By determining the real-time distribution network closing and unclosing conversion power flow direction based on the comprehensive power management information, the preset ideal power flow direction and the real-time distribution network closing and unclosing conversion power flow direction are compared to determine whether optimization and regulation of the closing and unclosing power supply process is required. If optimization and regulation is required, regional location distribution network closing and unclosing conversion efficiency information of the closing and unclosing power supply process during 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 sheet; and

[0040] The power flow directions of the lines of the closing / unclosing power supply process at the regional locations of the power system maintenance period in different time periods are obtained based on the closing / unclosing 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 closing / unclosing power supply processes, 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 closing / unclosing power supply process during the power system maintenance period; the preset power flow visualization curve is obtained using the association rule mining algorithm module in combination with the Chart.js software.

[0041] The optimization and control of the closing, decoupling and ring-turning power supply process in the existing technology mainly optimizes and controls the various parameters of the closing, decoupling and ring-turning power supply process. Generally, the process completion data of the closing, decoupling and ring-turning power supply process is compared and adjusted with the optimal implementation parameters. However, this method is only effective for optimizing and controlling a single closing, decoupling and ring-turning power supply process. When multiple closing, decoupling and ring-turning power supply processes need to be implemented in coordination, the effect is not good. A particle swarm model can also be established based on the combination of the optimal parameters of the closing, decoupling 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 control of multiple closing, decoupling 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 control of the closing, decoupling and ring-turning power supply process.

[0042] The present invention 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 direction of the lines of different closing and unclosing power supply processes by analyzing 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 optimized regulation value; reduces the data processing amount while ensuring the accuracy of the optimization and regulation of the closing and unclosing power supply process, thereby improving the optimization and regulation of the power flow direction of the closing and unclosing power supply process.

[0043] The big data analysis and evaluation module in the application of the present invention 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 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 control process of the closing and unclosing conversion power supply process, and to display the optimization and control 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 grid closing and unclosing conversion node 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 up 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 utilizes 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 the closing and unclosing power supply process needs to be optimized and regulated based on the preset ideal power flow direction, including:

[0047] Connect the association rule mining algorithm module and calculate the optimal line power flow direction within the distribution network closing and unclosing ring conversion node area under ideal conditions; obtain the power flow direction types of the distribution network closing and unclosing ring conversion operation steps with different optimal line power flows, which are recorded as preset ideal power flows; obtain the optimal line power flow direction of the power grid closing and unclosing ring conversion node to be optimized, 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 power grid closing and unclosing ring conversion node 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 from it, 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 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 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 control 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 overlapping, that is, different distribution network closing / unclosing conversion nodes of a line. 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 direction of the distribution network closing / unclosing conversion node under different ideal states, the reasonable distribution network closing / unclosing conversion operation step power flow type should be used to determine the preset ideal power flow direction to avoid the influence of extreme values ​​on the rationality of the preset ideal power flow direction.

[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 regional location distribution network closing / unclosing conversion efficiency information through the distribution network closing / unclosing conversion parameter comparison list set on the power grid closing / unclosing conversion node to be optimized; and the regional location distribution network closing / unclosing conversion efficiency information is screened and sent to the big data analysis and evaluation module.

[0051] The screening of regional distribution network closing and unclosing efficiency information mentioned here primarily aims to remove outliers. Regional distribution network closing and unclosing efficiency information includes distribution network closing and unclosing voltage flow data and process completion data. Standard implementation limits are the operating limits of the closing and unclosing power supply process during power system maintenance, such as speed limits. Process completion data, on the other hand, are the actual parameters of the optimized grid closing and unclosing nodes during implementation, such as actual speed values. Process completion data should be within the implementation limits; otherwise, the distribution network closing and unclosing parameter comparison sheet or the closing and unclosing power supply process during power system maintenance is considered abnormal, and a timely warning is issued.

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

[0053] The process completion data of the closing and unclosing power supply process during the power system maintenance in different time 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 time periods within the regional location is calculated; the line power flow direction of different closing and unclosing power supply processes is established as an independent variable according to the closing and unclosing conversion time of the distribution network, and the line power flow direction 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 grid switching nodes to be optimized are divided to obtain the switching power flow during different power system maintenance periods. Ideally, these switching power flow processes should have automatically adjustable parameters, enabling automated optimization and control of these switching power flow processes through a big data analysis and evaluation module. The power flow of the switching power flow lines during different power system maintenance periods is calculated using process completion data, and real-time power flow visualization curves are obtained through 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 opening conversion efficiency information corresponding to the regional location of the distribution network closing and opening conversion node when achieving the optimal line power flow under different ideal conditions, including:

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

[0057] In order to improve the overall line power flow of the 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 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 at the closing and unclosing conversion nodes of the power grid to be optimized during the power system maintenance in different periods be improved, but also the implementation power flow of the closing and unclosing conversion power supply process at the closing and unclosing conversion nodes of the power grid to be optimized during the power system maintenance in different periods be reasonably reduced when necessary; this adjustment method is suitable for scenarios 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 controls the power supply process during the power system maintenance period in different time periods based on 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 based on 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 power supply voltage flow data of the distribution network to reduce the line power flow covariance.

[0061] When comparing the real-time power flow visualization curve with the preset power flow visualization curve, first determine which locations do not overlap. Using the numbering of these locations, the corresponding power supply processes for the power system maintenance period can be identified. These power supply processes for the power system maintenance period are then the power supply processes to be optimized. The specific degree of adjustment required for the power supply processes to be optimized is determined by determining the process completion data for adjusting the power supply processes for the power system maintenance period within the distribution network power supply voltage flow data range based on 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 in a distribution network, 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 with different optimal line power flows;

[0065] S200, obtaining the real-time distribution network closing and unclosing conversion power flow direction of the grid closing and unclosing conversion node to be optimized; comparing the real-time distribution network closing and unclosing conversion power flow direction with the preset ideal power flow direction to determine whether to optimize the closing and unclosing power supply process of the 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 sheet;

[0066] S300. Calculate and obtain the line power flow direction of the closing / opening conversion power supply process during the power system maintenance period in different time periods based on the collected closing / opening conversion efficiency information of the distribution network in the regional location, 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 control of the closing / opening conversion power supply process during the power system maintenance period.

[0067] Example 3

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

[0069] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Thus, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product implemented on one or more available storage media (including but not limited to magnetic 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 produce 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 that can direct 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 comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions can 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 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, the preset ideal power flow is obtained based on the power flow types of the distribution network closing / opening conversion operation steps with different optimal line power flows.

[0075] Obtain the real-time distribution network closing / opening conversion power flow direction of the grid closing / opening conversion node to be optimized; compare the real-time distribution network closing / opening conversion power flow direction with the preset ideal power flow direction to determine whether to optimize and regulate the closing / opening power supply process of the grid closing / opening 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 / opening conversion according to the distribution network closing / opening conversion parameter comparison sheet.

[0076] Based on the collected regional distribution network closing and opening conversion efficiency information, the line power flow of the closing and opening 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 opening 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 and are not intended to limit the present invention. 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 integrated 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 opening conversion information collection module, an engineer control module, and a comparison list of different distribution network closing and opening conversion parameters at the grid closing and opening 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 period in different time periods through the distribution network closing / unclosing conversion parameter comparison sheet connected thereto during the normal implementation process 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 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 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 are 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 line at the regional location of the closing and unclosing power supply process during the power system maintenance in different time periods is calculated based on the distribution network closing and unclosing conversion efficiency information; a real-time power flow visualization curve is drawn for the power flow direction of the lines of different closing and unclosing power supply 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 period 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; 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 control the closing and unclosing power supply process, including: Connect the association rule mining algorithm module and calculate the optimal line power flow direction within the distribution network closing and unclosing ring conversion node area under an ideal state; 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 power system maintenance; Obtaining power flow types of distribution network closing / unclosing conversion operation steps for different optimal line power flows, which are recorded as preset ideal power flows; obtaining the optimal line power flow of the grid closing / unclosing conversion node to be optimized, which is recorded as the real-time distribution network closing / unclosing conversion power flow; the power flow types of the distribution network closing / unclosing conversion operation steps include distribution network closing / unclosing conversion active power flow or distribution network closing / unclosing conversion reactive power flow; If the real-time distribution network closing and unclosing conversion power flow direction deviates from the preset ideal power flow direction, it is determined that the closing and unclosing conversion power supply process of the grid closing and unclosing conversion node to be optimized needs to be optimized and regulated; otherwise, it is determined that the closing and unclosing conversion power supply process of the grid closing and unclosing conversion node to be optimized does not need to be optimized and regulated.

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

3. The distribution network integration and decompression power supply comprehensive optimization control system according to claim 1 is characterized in that: 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 the distribution network closing / unclosing conversion efficiency information of the regional location is screened and sent to the big data analysis and evaluation module; the distribution network closing / unclosing conversion efficiency information of the regional location includes distribution network closing / unclosing conversion voltage flow data and process completion data.

4. The distribution network integration and decompression power supply integrated optimization control system according to claim 3 is characterized in that: The big data analysis and evaluation module extracts the power flow direction of the power supply process corresponding to the power supply process during the power system maintenance period in different time periods from the power supply process conversion efficiency information of the regional distribution network, and draws the real-time power flow visualization curve based on the power flow direction of the power supply process line, including: The process completion data of the closing / opening conversion power supply process during the power system maintenance in different time periods is extracted from the closing / opening conversion efficiency information of the distribution network at the regional location, and the line power flow direction of the closing / opening conversion power supply process within the regional location during the power system maintenance in different time periods is calculated using the process completion data.

5. The distribution network integration and decompression power supply integrated optimization control system according to claim 4 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 opening conversion efficiency information of the regional location corresponding to the distribution network closing and opening conversion node when the optimal line power flow direction is achieved under different ideal conditions, including: Selecting at least one distribution network closing / breaking conversion node under the ideal state from the distribution network closing / breaking conversion nodes under different ideal states by using the optimal line power flow direction, and marking the distribution network closing / breaking conversion efficiency information of the corresponding regional location as the preset distribution network closing / breaking conversion efficiency information; The line power flow direction 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 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 position to obtain the preset power flow visualization curve.

6. The distribution network integrated optimization and control system for power supply according to claim 5 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 controls the power supply process of closing and opening the power system during maintenance of the power system in different time periods according to the comparison result, including: Comparing the real-time power flow visualization curve with the preset power flow visualization curve, determining the closing / unclosing power supply process during the power system maintenance period corresponding to the peak overlap of the two visualization curves, and marking 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.

7. The distribution network integration and decompression power supply integrated optimization control system according to any one of claims 1 to 6, characterized in that: The system is implemented through a comprehensive optimization and control method for 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 with different optimal line power flows; S200, obtaining the real-time distribution network closing and unclosing conversion power flow direction of the grid closing and unclosing conversion node to be optimized; comparing the real-time distribution network closing and unclosing conversion power flow direction with the preset ideal power flow direction to determine whether to optimize the closing and unclosing power supply process of the 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 sheet; S300. Calculate and obtain the line power flow direction of the closing / opening conversion power supply process during the power system maintenance period in different time periods based on the collected closing / opening conversion efficiency information of the distribution network in the regional location, 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 control of the closing / opening conversion power supply process during the power system maintenance period.

8. A storage medium for storing computer-executable instructions, characterized in that: When the computer executable instructions are executed, the method for comprehensive optimization and control of power supply of the distribution network according to claim 7 is implemented.

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