Power distribution network power voltage regulation method adaptive to new energy and related equipment

Abstract

The invention provides a power distribution network power voltage regulation method adaptive to new energy and related equipment. By explaining AGC and AVC system architectures, conditions and available resources of distributed new energy voltage regulation and power distribution network voltage regulation are comprehensively analyzed and explained, a calculation mechanism of related parameters is introduced and explained, and voltage quality indexes are deeply analyzed in combination with an available equipment operation monitoring function, so that the voltage regulation efficiency is improved. Therefore, the operation state of the power grid is accurately sensed and evaluated. Meanwhile, a line loss classification and calculation mode is defined for the AVC voltage regulation system, a network loss optimization algorithm is realized, and finally an overall architecture of a peak regulation power supply and distribution network voltage regulation and network loss optimization operation mode is constructed. The invention aims to improve response speed and flexibility, adapt to complex power grid structures and variable load conditions, realize optimal reactive power distribution and minimum network loss, reduce dependence on manual intervention, reduce operation and maintenance difficulty and improve application effect in a modern power system.

Description

Technical Field

[0001] The present application relates to the technical field of power system automation, and in particular to a power and voltage regulation method, device, electronic equipment and storage medium for a distribution network adapted to new energy. Background Art

[0002] With the rapid development of the economy, the power industry has also made significant progress. At present, in view of the growing demand for electricity, the continuous expansion of transmission capacity and the continuous expansion of the scale of the power grid, there is an urgent need for the emergence of distribution network technology that can ensure the reliability, quality, safety and economy of the power grid operation to support the rapid development of the social economy. In the power system, the quality of voltage directly affects the performance of electrical equipment, the safety and stable operation of the power system. Therefore, when evaluating the quality of power, voltage quality is usually regarded as a key assessment indicator. If the power system lacks sufficient reactive power capacity, the power supply will not be guaranteed; on the contrary, excess capacity will lead to a significant increase in investment in power grid construction, which is not conducive to the construction and transformation of my country's power grid system. Therefore, when constructing the power grid, it is necessary to strengthen the attention to the economy and safety of the power grid and focus on improving the quality of power supply.

[0003] At the same time, as more and more new energy sources are connected to the network, although it brings the advantages of peak load regulation and frequency regulation to the reliability of power supply of the power grid, it also brings certain challenges. For the network with distributed new energy access, the control of active power is the key way to improve the reliability of power supply of the power grid.

[0004] The automatic voltage control (AVC) system maintains the grid voltage within a reasonable range by monitoring the grid voltage level in real time and automatically adjusting reactive power compensation equipment (such as capacitors, reactors, etc.), thereby improving power supply quality and system stability. However, the traditional AVC system mainly focuses on voltage regulation and does not give enough consideration to network loss optimization, which limits its application effect to a certain extent. The automatic generation control (AGC) system responds to load fluctuations by adjusting the generator power output. However, the traditional AGC system has shortcomings in response speed and cannot quickly adapt to changes in grid frequency, which affects the stability and reliability of grid operation to a certain extent.

[0005] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention

[0006] In response to the above-mentioned technical problems, the present application provides a power and voltage regulation method, device, electronic device and storage medium for a distribution network adapted to new energy sources, which solves the problems of slow response speed, poor real-time performance and flexibility in the prior art, effectively improves the flexibility and response speed of grid regulation, optimizes the grid operation mode to reduce network losses and operation and maintenance costs, improves the intelligent management level of the power system, and meets the development needs of modern power systems.

[0007] In order to solve the above technical problems, the present application provides a power and voltage regulation method for a distribution network adapted to new energy sources, comprising the following steps:

[0008] Monitor the distribution network in real time and obtain real-time operation data of the distribution network;

[0009] Automatically adjusting the operating state of the distribution network based on the real-time operating data;

[0010] Analyzing the operating status of the distribution network after automatic adjustment to obtain an analysis result of the operating status of the distribution network;

[0011] Determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result by using the minimum path method;

[0012] An optimized operation plan is generated based on the minimum network loss line, and the operation state of the distribution network is adjusted by executing the optimized operation plan.

[0013] Furthermore, in some embodiments of the present application, the real-time monitoring of the distribution network and obtaining the real-time operation data of the distribution network include:

[0014] Real-time monitoring of the real-time operation data of the distribution network and the status of the reactive power compensation equipment through an automatic voltage control system;

[0015] The power grid data corresponding to the distribution network is obtained in real time through telemetry technology and telesignaling technology.

[0016] Furthermore, in some embodiments of the present application, before automatically adjusting the operating state of the distribution network based on the real-time operating data, the method further includes:

[0017] Defining a regulation condition for the voltage regulation of the distribution network;

[0018] The available resources for voltage regulation of the distribution network are analyzed.

[0019] Further, in some embodiments of the present application, automatically adjusting the operating state of the distribution network based on the real-time operating data includes:

[0020] Determining an automatic adjustment strategy for the distribution network based on the real-time operation data, the adjustment conditions and the available resources;

[0021] Receive an adjustment instruction from an automatic voltage control system, and automatically adjust the state of reactive power compensation equipment in the distribution network according to the automatic adjustment strategy through the automatic voltage control system to maintain the voltage of the distribution network within a preset range.

[0022] Further, in some embodiments of the present application, the analyzing the operating state of the automatically adjusted distribution network to obtain the operating state analysis result of the distribution network includes:

[0023] Obtain real-time operation data and grid data of the automatically adjusted distribution network;

[0024] Performing data identification processing on the real-time operation data and the power grid data;

[0025] A state estimation method is used to perceive the operating state of the automatically adjusted distribution network based on the real-time operating data and power grid data after data identification and processing, and obtain the corresponding load distribution information.

[0026] Based on the load distribution information, an operation status analysis result of the distribution network is generated.

[0027] Further, in some embodiments of the present application, the adopting of the minimum path method to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result includes:

[0028] Calculating the operating status information corresponding to each node in the distribution network based on the operating status analysis result, the operating status information including at least one of active power loss, reactive power loss, node power, node voltage, and reactive voltage;

[0029] Based on the operation status information, determining the target node and adjustment amount that need to adjust reactive power;

[0030] Searching for multiple line combinations based on the target node through a pre-built power grid model, and calculating the network loss corresponding to each line combination;

[0031] A line combination with the smallest network loss is selected as the minimum network loss line corresponding to the distribution network.

[0032] Further, in some embodiments of the present application, generating an optimized operation plan based on the minimum network loss line, and adjusting the operating state of the distribution network by executing the optimized operation plan, includes:

[0033] Define the objective function and constraints of the power grid model;

[0034] Generate a corresponding optimized operation plan according to the minimum network loss line through the power grid model;

[0035] Performing simulation verification on the optimized operation scheme;

[0036] Convert the optimized operation plan verified by simulation into corresponding dispatching instructions, and send the dispatching instructions to corresponding power grid equipment through the automatic voltage control system;

[0037] After the power grid device receives the dispatch instruction, it executes the dispatch operation corresponding to the dispatch instruction to adjust the operating state of the distribution network.

[0038] Accordingly, the present application also provides a power distribution network voltage regulating device adapted to new energy sources, comprising:

[0039] A monitoring module, used to monitor the distribution network in real time and obtain real-time operation data of the distribution network;

[0040] A regulating module, used for automatically regulating the operating state of the distribution network based on the real-time operating data;

[0041] An analysis module, used to analyze the operating status of the distribution network after automatic adjustment to obtain an analysis result of the operating status of the distribution network;

[0042] A network loss module, used to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result by using the minimum path method;

[0043] The optimization module is used to generate an optimized operation plan based on the minimum network loss line, and adjust the operation state of the distribution network by executing the optimized operation plan.

[0044] The present application also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the power and voltage regulation method for a distribution network adapted to new energy sources as described above are implemented.

[0045] The present application also provides a storage medium storing a computer program that can be loaded by a processor and execute the power and voltage regulation method of a distribution network adapted to new energy as described above.

[0046] Implementing the embodiments of the present application has the following beneficial effects:

[0047] As described above, the present application provides a power and voltage regulation method, device, electronic device and storage medium for a distribution network adapted to new energy sources. The power and voltage regulation method for a distribution network adapted to new energy sources includes: real-time monitoring of the distribution network to obtain real-time operation data of the distribution network; based on the real-time operation data, automatically adjusting the operation state of the distribution network; analyzing the operation state of the automatically adjusted distribution network to obtain the analysis result of the operation state of the distribution network; using the minimum path method according to the analysis result of the operation state, determining the minimum network loss line corresponding to the distribution network; generating an optimized operation plan based on the minimum network loss line, and adjusting the operation state of the distribution network by executing the optimized operation plan. The distribution network adaptive regulation scheme proposed in the present application can quickly respond to changes in the state of the power grid through real-time monitoring and automatic adjustment, improve the adaptability of the distribution network to dynamic fluctuations, and effectively improve the flexibility and response speed of the power grid regulation; at the same time, through precise data analysis and optimization algorithms, the optimal reactive power distribution and minimized network loss are achieved, the operation efficiency of the power grid is improved, the dependence on manual parameter setting and strategy adjustment is reduced, and the difficulty and cost of operation and maintenance are reduced while reducing network loss, thereby improving the safety and stability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.

[0049] Figure 1 It is a flow chart of a method for regulating power and voltage of a distribution network adapted to new energy provided in an embodiment of the present application;

[0050] Figure 2 It is a schematic diagram of the AGV system architecture provided by the example of this application;

[0051] Figure 3 It is a logical diagram of the AGV function implementation provided by the example of this application;

[0052] Figure 4 It is a schematic diagram of the infrastructure of the AGV voltage regulation system provided in the example of this application;

[0053] Figure 5 It is a structural diagram of the AVC system architecture provided in an embodiment of the present application;

[0054] Figure 6 is a schematic diagram of a historical database server provided in an embodiment of the present application;

[0055] Figure 7 is a schematic diagram of the relationship between resources and conditions provided in the embodiments of the present application;

[0056] Figure 8 is a schematic diagram of each distribution transformer node provided in an embodiment of the present application;

[0057] Fig. 9 It is another flow chart of the power and voltage regulation method of the distribution network adapted to new energy provided in the embodiment of the present application;

[0058] Fig.10 It is a schematic diagram of a process for establishing a digital model of power grid operation provided by an embodiment of the present application;

[0059] Fig.11 It is a structural diagram of a simplified version of a power grid operation model provided in an embodiment of the present application;

[0060] Fig.12 It is a logical schematic diagram of contact relationship optimization provided by an embodiment of the present application;

[0061] Fig.13 It is a schematic diagram of the process flow of executing the optimal operation mode scheme provided in the embodiment of the present application;

[0062] Fig.14 It is another flow chart of the power and voltage regulation method of the distribution network adapted to new energy provided in the embodiment of the present application;

[0063] Fig.15 It is a structural schematic diagram of a power and voltage regulating device for a distribution network adapted to new energy provided in an embodiment of the present application;

[0064] Fig.16 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0065] The realization of the purpose, functional features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The above-mentioned drawings have shown clear embodiments of this application, which will be described in more detail later. These drawings and textual descriptions are not intended to limit the scope of the concept of this application in any way, but to illustrate the concept of this application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0066] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0067] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0068] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0069] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0070] The traditional AVC system adopts a periodic sampling and fixed threshold judgment mechanism, which leads to a slow response to changes in the state of the power grid, making it difficult to efficiently respond to dynamic fluctuations in the power grid, thus affecting the realization of the goals of reactive power distribution optimization and network loss minimization. In addition, facing the increasingly complex power grid structure and changing load conditions, the traditional AVC system lacks flexibility and is difficult to meet the needs of real-time optimization and regulation, limiting its application effect in energy saving and consumption reduction, improving power grid security and operating efficiency. The traditional AVC system is highly dependent on manual parameter setting and strategy adjustment, which not only increases the burden of operation and maintenance and increases the risk of errors, but also limits the improvement of the system's automation and intelligence level, making it difficult to adapt to the requirements of modern power systems for efficient, accurate and autonomous management. In contrast, although dynamic reactive power optimization technology shows stronger temporal and spatial adaptability and flexibility, its challenges such as high computational complexity, strict hardware requirements, strong dependence on prediction accuracy and high difficulty in operation and maintenance cannot be ignored. Static reactive power optimization is difficult to fully respond to emergencies and complex scenarios in power system operation due to its lack of flexibility, limited optimization effect and reliance on manual intervention.

[0071] In response to the above-mentioned technical problems, the embodiments of the present application provide a distribution network power and voltage regulation method, device, electronic device and storage medium adapted to new energy sources, which can reduce manual intervention, effectively improve the flexibility and response speed of grid regulation, and optimize the operation mode of the distribution network, reduce network losses and reduce operation and maintenance costs, thereby improving the intelligent management level and reliability of the power system.

[0072] Embodiments of the present application provide a method, device, electronic device and storage medium for regulating power and voltage of a distribution network adapted to new energy sources.

[0073] Among them, the power and voltage regulation device of the distribution network adapted to new energy can be deployed in a terminal or a server. The server can include an independently operated server or a distributed server, or a server cluster composed of multiple servers. The terminal can include a mobile phone, a tablet computer or a personal computer (PC, Personal Computer).

[0074] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0075] See also Figure 1 , Figure 1 The power and voltage regulation method of the distribution network adapted to renewable energy provided in the embodiment of the present application is a flow chart of the power and voltage regulation method of the distribution network adapted to renewable energy provided in the embodiment of the present application. The power and voltage regulation method of the distribution network adapted to renewable energy provided in the embodiment of the present application can be executed in the distribution network, and the power and voltage regulation method of the distribution network adapted to renewable energy can specifically include the following steps:

[0076] S1. Monitor the distribution network in real time and obtain real-time operation data of the distribution network;

[0077] Specifically, for step S1, the voltage level of the distribution network and the status of the reactive power compensation equipment are monitored in real time through the automatic voltage control system (AVC), and the real-time operation data of the distribution network is obtained by using telemetry technology and telesignaling technology, including but not limited to switch status, voltage, current, power and other parameters. Data collection not only includes real-time data, but also historical data to support analysis and prediction.

[0078] S2. Automatically adjust the operating status of the distribution network based on real-time operating data;

[0079] Specifically, for step S2, based on real-time operation data, the system automatically analyzes and adjusts the operation status of the distribution network to achieve preset operation conditions. The adjustment measures may include adjusting the transformer tap position, switching capacitors or reactors, controlling reactive power compensation devices, etc.

[0080] S3. Analyze the operating status of the distribution network after automatic adjustment to obtain the operating status analysis results of the distribution network;

[0081] Specifically, for step S3, the operating state of the distribution network after automatic adjustment is deeply analyzed to obtain the operating state analysis results. The analysis includes identifying and processing the real-time operating data and the power grid data, and using a state estimation method to perceive the operating state of the distribution network. The operating state of the distribution network is determined through load distribution information, including but not limited to voltage, power loss, node power and voltage, etc.

[0082] S4. Determine the minimum network loss line corresponding to the distribution network according to the operation status analysis results using the minimum path method;

[0083] Specifically, for step S4, the minimum path method is used to determine the minimum network loss line corresponding to the distribution network according to the operating status analysis results. This step involves calculating the operating status information of each node in the distribution network, determining the target node that needs to adjust reactive power and the adjustment amount. Through the pre-built power grid model, multiple line combinations are searched, and the network loss corresponding to each line combination is calculated to select the line combination with the minimum network loss.

[0084] S5. Generate an optimized operation plan based on the minimum network loss line, and adjust the operating state of the distribution network by executing the optimized operation plan;

[0085] Specifically, for step S5, based on the minimum network loss line, an optimized operation plan is generated, which is intended to adjust the operating state of the distribution network to minimize network loss. The optimized operation plan includes the definition of the objective function and constraint conditions of the power grid model, as well as specific adjustment measures generated by the model. Finally, the operating state of the distribution network is adjusted by executing the optimized operation plan.

[0086] It can be seen that the power and voltage regulation method of the distribution network adapted to new energy provided in this embodiment, through real-time monitoring and automatic adjustment, the distribution network can respond to voltage and power changes more quickly, reduce reactive power loss, and improve the overall operation efficiency of the power grid; by determining the minimum network loss line and implementing the optimized operation plan, the network loss of the power grid can be significantly reduced, energy loss can be reduced, and energy utilization efficiency can be improved; the adaptive adjustment method helps to maintain the voltage within a reasonable range, thereby improving the stability and reliability of power supply and ensuring that users obtain high-quality electricity; through real-time monitoring and automatic adjustment, abnormal conditions in the power grid can be discovered and handled in a timely manner, reducing the risk of voltage collapse and power outages; the automated method reduces dependence on manual operation, reduces the possibility of human error, and reduces the workload of operation and maintenance personnel; the operation status analysis provides detailed power grid operation data, and provides data support for power grid operators to formulate more effective power grid management and optimization strategies; the method is applicable to a variety of power grid structures and operating conditions, and has wide applicability and flexibility.

[0087] Further, in some embodiments, step S1 of “monitoring the distribution network in real time and obtaining real-time operation data of the distribution network” may specifically include:

[0088] S11. Real-time monitoring of the real-time operation data of the distribution network and the status of the reactive power compensation equipment through the automatic voltage control system;

[0089] S12. Obtain the grid data corresponding to the distribution network in real time through telemetry technology and telesignaling technology.

[0090] Specifically, for step S1, the monitoring function, as the core component function of the power and voltage regulating device of the distribution network adapted to new energy, is responsible for real-time monitoring of the operating status of the distribution network, and real-time monitoring of the voltage level and the status of the reactive power compensation equipment of the distribution network through the automatic voltage control system (AVC) to ensure that the system can respond to voltage fluctuations and equipment status changes in a timely manner. Use telemetry technology to obtain electrical parameters such as voltage, current, and power of the distribution network in real time, and use telesignaling technology to obtain information such as the switch status and equipment operating status of the distribution network. The real-time monitoring data includes not only the current operating data, but also historical data for trend analysis and prediction. Data acquisition covers all key nodes of the distribution network, including substations, distribution rooms, feeders, transformers, etc., to ensure the comprehensiveness of monitoring.

[0091] In addition, this embodiment also implements data interaction with the AVC system through the API access interface provided by the EMS platform to ensure the real-time and accuracy of the data. The data interface supports access to specified real-time data, including switch knife remote signaling, generator-related remote signaling, plant station remote signaling, transformer telemetry, bus voltage, capacitor-related telemetry, etc. The data table is defined, and a series of data tables are defined, such as the distribution network remote signal definition table, the distribution network telemetry definition table, the distribution network protection node table, etc., to support data organization and management. These data tables provide the AVC system with necessary information, such as power grid topology, equipment parameters, operating status, etc., providing a data basis for subsequent analysis and adjustment.

[0092] This embodiment uses telemetry and telesignaling technology to obtain the operating data of the distribution network in real time and accurately, providing reliable data support for the analysis and adjustment of the system; the real-time monitoring module can quickly respond to the operating changes of the distribution network and adjust the operating strategy in time to maintain the stable operation of the power grid; through automated data collection and monitoring, the workload of manual inspections is reduced and the operation and maintenance efficiency is improved; through comprehensive monitoring of the distribution network, the power grid resources, such as reactive power compensation equipment, can be more reasonably configured to improve the operation efficiency of the power grid; the real-time data and historical data provided provide data support for power grid operators to formulate more effective power grid management and optimization strategies; through real-time monitoring and timely adjustment, voltage fluctuations and power outages can be reduced, and the reliability of power supply can be improved; automated monitoring reduces dependence on manual operations, reduces the possibility of human errors, and at the same time reduces the workload of operation and maintenance personnel, thereby reducing operation and maintenance costs.

[0093] Furthermore, in some embodiments, before step S2 of "automatically adjusting the operating state of the distribution network based on real-time operating data", the power and voltage regulation method of the distribution network adapted to new energy may further include:

[0094] Define the regulation conditions for distribution network voltage regulation;

[0095] Analyze available resources for voltage regulation in distribution networks.

[0096] Specifically, before automatically adjusting the operating state of the distribution network, it is necessary to first define the specific conditions for voltage regulation, including the allowable fluctuation range of voltage, the balance requirements of reactive power, and the operating restrictions of the regulating equipment. The setting of the regulating conditions is based on the analysis of the historical data of the distribution network and the real-time monitoring data of the current grid operation state. The resources that can be used for voltage regulation in the distribution network are analyzed, including but not limited to the transformer taps of the substation, reactive compensation equipment (capacitors and reactors), distributed generation resources, and controllable loads. The capacity, state, and regulation capabilities of these resources are analyzed in detail to determine their availability and effectiveness in voltage regulation. Based on the real-time operating data, regulation conditions, and available resources, the automatic regulation strategy of the distribution network is determined. This strategy will guide the subsequent automatic regulation steps to achieve the goal of voltage regulation. The regulation strategy needs to consider multiple factors such as the safe operation of the power grid, the power supply quality, and the energy efficiency optimization. The automatic voltage control system (AVC) generates regulation instructions based on the determined regulation strategy. These instructions will guide the reactive power compensation equipment to perform specific regulation actions, such as switching capacitors or adjusting the transformer tap position. The generation and issuance of regulation instructions requires communication with the control devices in the distribution network through the AVC system to achieve remote control.

[0097] By clarifying the adjustment conditions and analyzing the available resources, this embodiment can formulate the adjustment strategy more accurately and improve the voltage regulation effect; the detailed resource analysis and strategy formulation enable the system to adapt to various grid operation states and changes in external conditions, and improve the flexibility and robustness of the system; by reasonably allocating available resources, reactive compensation equipment and other adjustment means can be used more effectively to improve resource utilization efficiency; through the implementation of automatic adjustment strategies, the voltage can be better maintained within a reasonable range, and the voltage fluctuation can be reduced, thereby improving the power supply quality; reasonable reactive power regulation can reduce the reactive power flow in the grid, reduce network losses, and improve the operation efficiency of the grid; automated adjustment strategies reduce dependence on manual operations, reduce the possibility of human errors, and at the same time reduce the workload of operation and maintenance personnel; timely and accurate adjustment actions help prevent grid accidents such as voltage collapse and improve the safety of the system.

[0098] Further, in some embodiments, step S2 “automatically adjusting the operating state of the distribution network based on real-time operating data” may specifically include:

[0099] S21. Determine the automatic adjustment strategy of the distribution network based on real-time operation data, adjustment conditions and available resources;

[0100] S22. Receive adjustment instructions from the automatic voltage control system, and automatically adjust the state of reactive power compensation equipment in the distribution network according to the automatic adjustment strategy through the automatic voltage control system to maintain the voltage of the distribution network within a preset range.

[0101] Specifically, for step S2, first, based on real-time operation data, predefined regulation conditions and analyzed available resources, the system will determine the automatic regulation strategy of the distribution network. This strategy will consider how to use available resources most effectively to achieve the goal of voltage regulation. The determination of the regulation strategy involves an in-depth analysis of the current state of the power grid and a prediction of the future state of the power grid. Then, the regulation instructions issued by the automatic voltage control system (AVC) are received, which are based on the previously determined regulation strategy. The regulation instructions include control signals for reactive power compensation equipment, such as switching on or off capacitor banks, adjusting the position of transformer taps, or adjusting the state of other reactive compensation devices. Then, through the AVC system, the state of reactive power compensation equipment in the distribution network is automatically adjusted to maintain the voltage within a preset range. For example, the switching operation of capacitor banks, or the regulation of reactors, and the control of other reactive compensation equipment. During the regulation process, the system will continuously receive new real-time operation data and analyze it in combination with the power grid model to ensure the effectiveness of the regulation strategy. The power grid model includes information such as the topology of the power grid, equipment parameters and operation restrictions. During the regulation process, the system will continuously monitor the regulation effect and compare the actual operation data with the expected effect. Based on the feedback results, the system can adjust the regulation strategy to achieve the regulation target more accurately.

[0102] This embodiment improves the accuracy of voltage regulation: through precise regulation strategies and control of automatic regulation equipment, the voltage can be maintained within a preset range more accurately, thereby improving the accuracy of voltage regulation; the system can flexibly adjust the regulation strategy according to real-time data and the power grid model to adapt to changes in the power grid state; automatic regulation of reactive power compensation equipment helps to optimize the reactive power distribution in the distribution network, reduce reactive power loss, and improve the operating efficiency of the power grid; through effective reactive power regulation, power loss in the power grid, especially reactive power loss, can be reduced, thereby reducing overall network losses; maintaining voltage stability helps to improve power supply quality, reduce the impact of voltage fluctuations on user equipment, and improve user satisfaction; automated regulation reduces reliance on manual operations, reduces the possibility of human errors, and reduces the workload of operation and maintenance personnel; timely and accurate regulation actions help prevent power grid accidents such as voltage collapse, and improve the safety and reliability of the system; this method supports the development of smart grids and improves the operation and management level of power grids through automation and intelligent means.

[0103] Further, in some embodiments, step S3 of "analyzing the operating status of the distribution network after automatic adjustment to obtain an analysis result of the operating status of the distribution network" may specifically include:

[0104] S31. Obtaining real-time operation data and grid data of the automatically adjusted distribution network;

[0105] S32. Perform data identification and processing on real-time operation data and power grid data;

[0106] S33. Using a state estimation method based on real-time operation data and power grid data after data identification processing, the operating state of the distribution network after automatic adjustment is perceived to obtain the corresponding load distribution information;

[0107] S34. Generate an operation status analysis result of the distribution network based on the load distribution information.

[0108] Specifically, for step S3, after automatic adjustment, the system needs to obtain real-time operation data and grid data of the distribution network. These data include parameters such as voltage, current, power, power factor, and the operating status of reactive power compensation equipment. Data identification processing is performed on the acquired real-time operation data and grid data. This step may include data cleaning, outlier detection, data verification, etc. to ensure that the data used for analysis is accurate and reliable. Data identification processing is based on the reliability of different data sources and basic electrical rules to perform preliminary identification on the collected data. A state estimation method is used, combined with the data after data identification processing, to perceive the operating status of the distribution network after automatic adjustment. This step aims to evaluate the current state of the distribution network, including voltage level, power flow, reactive power distribution, etc. The state perception process includes updating the grid model and continuously monitoring the operating status of the grid. Based on the results of state perception, the system will obtain the load distribution information of the distribution network. This includes the load conditions of each node or area, as well as the power loss and voltage drop associated therewith. Load distribution information helps to further analyze the operating status of the grid and provide a basis for subsequent optimization. Using load distribution information and other relevant data, the system will generate analysis results of the distribution network's operating status. These results may include voltage quality indicators, reactive power balance status, network loss, etc. The analysis results will provide decision support for grid operators, helping them understand the operating status of the grid and take necessary measures to optimize grid performance.

[0109] In this embodiment, through data identification and state estimation methods, the system can more accurately perceive the operating status of the distribution network, providing a reliable data basis for subsequent analysis and optimization; detailed operating status analysis results provide valuable information for power grid operators, helping them make more informed decisions to optimize power grid performance and improve power supply quality; through analysis of load distribution information, the system can identify bottlenecks and inefficient links in the power grid, so as to take corresponding measures to optimize the operation of the power grid; accurate operating status analysis helps to identify and reduce power losses in the power grid, especially reactive power losses, thereby reducing network losses and improving energy utilization efficiency; through continuous operating status monitoring and analysis, the system can promptly discover and solve problems that may cause voltage fluctuations or power supply interruptions, thereby improving the stability and reliability of power supply; this method supports the development of smart grids, improves the operation and management level of power grids through automation and intelligent means, and provides technical support for achieving the goals of smart grids.

[0110] Further, in some embodiments, step S4 "using the minimum path method to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result" may specifically include:

[0111] S41. Calculate the operating status information corresponding to each node in the distribution network based on the operating status analysis results, the operating status information includes at least one of active power loss, reactive power loss, node power, node voltage, and reactive voltage;

[0112] S42. Based on the operating status information, determine the target node and the amount of reactive power adjustment required;

[0113] S43. Search multiple line combinations based on the target node through the pre-built power grid model, and calculate the network loss corresponding to each line combination;

[0114] S44. Select the line combination with the minimum network loss as the minimum network loss line corresponding to the distribution network.

[0115] Specifically, for step S4, first, based on the analysis results of the distribution network operation status, the system calculates the operation status information of each node in the power grid. This information includes key parameters such as active power loss, reactive power loss, node power, node voltage and reactive voltage. Using the power grid model and measured data, these parameters are calculated through physical equations and power grid operation rules. Then, the system determines the target node that needs to adjust the reactive power and the corresponding adjustment amount, including identifying nodes with higher power loss and calculating the reactive power adjustment required to achieve the optimization goal. This step requires the use of optimization algorithms and power grid analysis techniques to determine the most effective reactive power adjustment scheme. Then, using the pre-built power grid model, the system searches for multiple possible line combinations based on the target node. The power grid model includes information such as the topological structure, equipment parameters and operating restrictions of the power grid. The model is constructed to simulate the operation status of the power grid and evaluate the impact of different adjustment strategies on the performance of the power grid. Finally, for each line combination, the system calculates its corresponding network loss. This involves a comprehensive analysis of parameters such as resistance, reactance, current and voltage of each line in the power grid. Grid loss calculation is a key step in optimizing line selection. Its purpose is to find the line combination that can minimize grid loss while meeting the grid operation requirements. The system compares the grid losses of different line combinations and selects the line combination with the smallest grid loss as the minimum grid loss line of the distribution network. This selection is based on a comprehensive consideration of the grid operation efficiency and economy. The selection of the minimum grid loss line is to guide the operation and control of the grid to achieve the purpose of optimizing grid performance and reducing operating costs.

[0116] In this embodiment, by determining the minimum network loss line, the system can guide the power grid to operate in the most efficient state and reduce energy loss; selecting the minimum network loss line helps to reduce power loss in the power grid and improve the efficiency of power transmission, thereby reducing the operating cost of the power grid; reducing network loss not only reduces energy loss, but also means reducing economic losses and improving the economic benefits of the power grid; by analyzing the network loss of different line combinations, power grid operators can better plan the expansion and maintenance strategies of the power grid to adapt to the ever-changing power grid needs; the selection of the minimum network loss line helps to maintain the stable operation of the power grid, reduce voltage fluctuations, and thus improve the quality and reliability of power supply; this method supports the development of smart grid technology and improves the operation and management level of the power grid through automation and intelligent means; reducing network loss also means reducing energy consumption, which helps to reduce greenhouse gas emissions and has a positive impact on environmental protection.

[0117] Further, in some embodiments, step S5 “generating an optimized operation plan based on the minimum network loss line, and adjusting the operation state of the distribution network by executing the optimized operation plan” may specifically include:

[0118] S51. Define the objective function and constraints of the power grid model;

[0119] S52. Generate a corresponding optimized operation plan based on the minimum network loss line through the power grid model;

[0120] S53. Simulate and verify the optimized operation plan;

[0121] S54. Convert the optimized operation plan verified by simulation into corresponding dispatching instructions, and send the dispatching instructions to the corresponding power grid equipment through the automatic voltage control system;

[0122] S55. After receiving the dispatch instruction, the power grid device executes the dispatch operation corresponding to the dispatch instruction to adjust the operating state of the distribution network.

[0123] Specifically, for step S5, in order to generate an optimized operation plan, it is first necessary to define the objective function of the power grid model, which is usually to minimize network loss, and also include other objectives, such as improving power supply reliability and reducing operating costs. Constraints include voltage limits, equipment capacity limits, power balance, etc., to ensure the feasibility and safety of the plan. Using the power grid model and the minimum network loss line, the system generates an optimized operation plan through an optimization algorithm. This may involve complex mathematical programming problems, such as linear programming, nonlinear programming, or mixed integer programming. The plan includes specific measures to adjust the operating state of the power grid, such as adjusting the position of transformer taps, switching capacitor banks, and controlling adjustable loads. Before implementing the optimized operation plan, the plan is verified by a simulation tool. Simulation can simulate the operating state of the power grid after the plan is implemented and predict possible problems and risks. Simulation verification ensures the effectiveness of the plan and avoids adverse effects on the operation of the power grid. The verified optimized operation plan will be converted into specific dispatching instructions, which detail the operations to be performed, such as adjusting the operating state of which equipment. The dispatching instructions are sent to the corresponding power grid equipment through the automatic voltage control system to achieve remote control. After receiving the dispatching instruction, the grid equipment will execute the corresponding dispatching operation, including automatic or manual operation, such as remote control of switching equipment, adjustment of transformer tap position, etc. After the operation is executed, the operation status of the grid will be adjusted according to the optimized operation plan.

[0124] This embodiment can reduce power loss in the power grid and improve the operation efficiency of the power grid by optimizing the operation plan; minimizing network loss is one of the core goals of the optimized operation plan. By implementing these plans, the network loss of the power grid can be significantly reduced and energy loss can be reduced; the optimized operation plan helps to maintain the voltage within a reasonable range, improve the stability and reliability of power supply, and thus improve the power supply quality; through the automated issuance and execution of dispatch instructions, the power grid can respond to load changes and system failures more quickly, and improve the flexibility and adaptability of the power grid; reducing network losses and improving operation efficiency can reduce the operation cost of the power grid and improve the economy of the power grid; optimizing the operation plan helps to avoid power grid accidents such as overload and voltage collapse, and improve the safety of the power grid; this method supports the development of smart grids and improves the operation and management level of the power grid through automation and intelligence; reducing network losses also means reducing energy consumption, which helps to reduce greenhouse gas emissions and has a positive impact on environmental protection.

[0125] In order to make it easier to understand the power voltage regulation method of the distribution network adapted to new energy provided in this embodiment, this embodiment also provides a specific implementation method. By elaborating on the AGC and AVC system architectures, a comprehensive analysis and description is made from the conditions and available resources for the voltage regulation of distributed new energy and the voltage regulation of the distribution network. Based on these conditions and resource analysis, the calculation mechanism of relevant parameters and their detailed description are introduced, and the voltage quality indicators are deeply analyzed in combination with the available equipment operation monitoring function, so as to accurately perceive and evaluate the operation status of the power grid. At the same time, the line loss classification and calculation method are defined for the AVC voltage regulation system, and the network loss optimization algorithm is implemented, and finally the overall architecture of the peak power supply, distribution network voltage regulation and network loss optimization operation mode is constructed. This technical solution aims to improve the response speed and flexibility, adapt to complex power grid structures and variable load conditions, achieve optimal reactive power distribution and minimize network losses, while reducing dependence on manual intervention, reducing the difficulty of operation and maintenance, and improving the application effect in modern power systems. The grid voltage regulation and operation mode optimization analysis method is respectively analyzed from the two aspects of AGV and ACV voltage regulation. This technical solution aims to improve response speed and flexibility, adapt to complex grid structures and variable load conditions, achieve optimal reactive power distribution and minimize network losses, while reducing reliance on manual intervention, reducing the difficulty of operation and maintenance, and improving the application effect in modern power systems. The grid voltage regulation and operation mode optimization analysis methods are analyzed from two aspects: AGV and ACV voltage regulation. The specific implementation process is as follows:

[0126] 1. Analysis method of improving power supply reliability based on distributed renewable energy voltage regulation strategy optimized by AGC system architecture

[0127] 1. Analysis of AGV system architecture and function realization based on the characteristics of distributed new energy power grid

[0128] In order to realize the grid connection of distributed renewable energy power stations, power dispatching organizations at all levels should have the distributed renewable energy AGC master station function as required, and deploy it as a functional module in the edge cluster system of the cloud-edge fusion intelligent dispatching operation platform (CEP) or the integrated grid operation intelligent system (OCS); distributed renewable energy sites should be equipped with substation devices or functions as required, and redundant configuration of devices and software should be achieved. Its system architecture is as follows: Figure 2 As shown:

[0129] 2. The main station functions and related technical requirements of the downstream part are analyzed as follows:

[0130] (1) Independent distributed new energy AGC master stations are built at the provincial and prefectural levels. The provincial master station controls the prefectural master station, receives dispatch instructions or independently calculates adjustment requirements, and generates and issues control instructions.

[0131] (2) Distributed renewable energy sources directly controlled by local master stations adopt group regulation and group control methods, receive instructions from provincial master stations or independently calculate the total regulation demand, generate and issue control instructions to the stations for execution.

[0132] (3) The provincial master station based on the edge cluster is deployed in the provincial edge cluster area 1, and the prefectural master station is deployed in the prefectural edge cluster area 1; the provincial master station based on OCS is deployed in the provincial OCS system area 1, and the non-main and integrated prefectural OCS is deployed in the prefectural distribution network OCS system area 1. Data interaction is forwarded through the prefectural main network OCS system area 1; the main and integrated prefectural OCS is deployed in the prefectural OCS system area 1, and the provincial and prefectural master station data interact directly.

[0133] 3. In order to realize the voltage regulation function of new energy, this system is equipped with functions such as data collection and acquisition, real-time monitoring of operating status, data interaction, mode control, and generation and analysis of demand allocation regulation strategies. Taking the provincial master station function as an example, the functions are explained as follows:

[0134] (1) Data collection and acquisition

[0135] a) According to actual needs, one or more prefecture-level virtual machine groups are established at the provincial master station for each prefecture-level master station;

[0136] b) Receive and process the total real-time active output, upper and lower limits, controllable signals, and operating status of distributed renewable energy sources under its jurisdiction sent from the local level;

[0137] c) Real-time acquisition of grid frequency, interconnection line exchange power, regional control deviation, section real-time value, dispatching control instructions, control status, etc.

[0138] (2) Real-time monitoring of operating status

[0139] a) System operation information, including operation status, control mode, real-time frequency, interconnection line exchange power, cross-section real-time value, distributed new energy output, etc.;

[0140] b) Operation information of virtual units in various locations, such as operating status, controllable signals, real-time output, upper and lower limits of adjustment, etc.

[0141] (3) Data interaction is based on the active power of local virtual units, upper and lower limits, controllable signals, etc., which are obtained in real time from the local system along with the system frequency, interconnection line exchange power, etc. as data input, and the target active power and power generation plan values ​​of various places as data output. After the above analysis, the provinces and regions coordinate to realize the peak-shaving mode, planned peak-shaving mode and free power generation mode.

[0142] The above basic functions implement the logic as follows Figure 3 As shown:

[0143] The definition and analysis of the collaborative control information interaction function and test points are shown in the following table:

[0144] Provincial main station interactive data items

[0145]

[0146]

[0147]

[0148] In order to achieve voltage regulation for wind energy access and to link with the AVC voltage control system in the distribution network, the system is equipped with a control center based on a cloud computing platform to achieve information flow and power flow interaction with the upstream dispatch center and the downstream distribution network. Figure 4 As shown:

[0149] On this basis, the voltage regulation strategy of the improved AVC system architecture is introduced to improve the power supply reliability, realize the grid voltage control and regulation, and achieve the purpose of improving the power supply reliability of the grid. The detailed scheme is described as follows:

[0150] 2. Analysis of methods to improve power supply reliability based on voltage regulation strategy of improved AVC system architecture

[0151] 1. AVC system architecture function implementation architecture analysis

[0152] The AVC system architecture is the core component of the automatic voltage control system, and its design is directly related to the performance and stability of the system. The following is a detailed description of the AVC system architecture, including interfaces, data, and infrastructure, and also analyzes and explains the conditions and available resources for voltage regulation in the distribution network.

[0153] (1) Among them, Figure 5 As shown, the AVC system architecture design is improved based on the C / S mode, including the AVC server, the AVC maintenance human-machine interface client, and the AVC human-machine monitoring mechanism, which provide a carrier for the subsequent operation status and related reactive parameter monitoring and calculation.

[0154] The AVC server regularly completes the reactive power optimization calculation of distribution network automation, completes the distribution network status perception according to the real-time voltage and reactive power operation status, and on this basis completes the optimization control strategy calculation through the distribution network collaborative control algorithm, and finally implements the issuance of control strategy instructions through the EMS platform. The AVC maintains the human-machine interface, which is used to complete the setting of AVC-related equipment parameters and constants, and the configuration of AVC system algorithm options. In addition, it provides remote control and adjustment tests for related equipment; the AVC human-machine monitoring interface AVC operating status and calculation results reply to the platform real-time library, and related data and information are provided in the form of a screen through the dispatcher interface. The basic design based on this architecture is combined with the construction of subsequent algorithms to achieve the final reactive voltage regulation and analysis of the optimized operation mode according to network loss. The improved AVC system architecture is as follows Figure 5 shown.

[0155] (2) Definition and description of data interface

[0156] Combining the unique characteristics of the distribution network system and the requirements of AVC's own functions, this invention adopts the method of independent operation of the AVC core algorithm and the real-time operation platform to ensure the stability of the system and the AVC algorithm. Data interaction is carried out through the API access interface provided by the platform. The interface first reads the table descriptor and table information structure, and then accesses the specified real-time data according to application requirements.

[0157] The real-time data tables that AVC needs to access mainly include: switch remote signal, generator-related remote signal, plant and station remote signal; transformer telemetry, bus voltage, capacitor-related telemetry, etc. These tables are owned by the EMS platform itself. In this way, the real-time and accuracy of the data can be ensured, providing strong support for the optimized control of the AVC system. The data table definition in the system is as follows:

[0158] #define DMS_YX_DEFINE_NO 13530 / *Distribution network remote signal definition table* /

[0159] #define DMS_YC_DEFINE_NO 13531 / *Distribution network telemetry definition table* /

[0160] #define DMS_RELAY_SIG_NO 13533 / *Distribution network protection node table* /

[0161] #define DMS_VALUE_INFO_NO 13534 / *Distribution network measurement point telemetry table* /

[0162] #define DMS_YX_VALUE_INFO_NO 13535 / *Distribution network measurement point remote signal table* /

[0163] In addition, the system also needs to obtain real-time and historical data from the AVC system, which mainly includes the structure of the power grid topology and its main power grid equipment, such as regions, substations, transformers, switches, compensators, loads, line segments, etc. Based on the above information, it provides data and model support for the subsequent realization of the topology automatic voltage regulation method. The definition of its data table is as follows:

[0164] #define DMS_FEEDER_DEVICE_NO 13500 / *Distribution network feeder table* /

[0165] #define DMS_COMBINED_DEVICE_NO 13501 / *Distribution network switch station table* /

[0166] #define DMS_CB_DEVICE_NO 13502 / *Network switch table* /

[0167] #define DMS_SECTION_DEVICE_NO 13503 / *Distribution network feeder segment table* /

[0168] #define DMS_LD_DEVICE_NO 13504 / *Distribution network load table* /

[0169] #define DMS_TR_DEVICE_NO 13505 / *Distribution network transformer table* /

[0170] #define DMS_BS_DEVICE_NO 13506 / *Distribution network bus table* /

[0171] #define DMS_RC_DEVICE_NO 13507 / *Network capacitor table* /

[0172] #define DMS_LD_TYPE_NO 13508 / *Distribution network load type table* /

[0173] #define DMS_POLE_DEVICE_NO 13509 / *Distribution network tower table* /

[0174] #define DMS_TERMINAL_INFO_NO 13510 / *Distribution network terminal information table* /

[0175] #define DMS_SECTION_TYPE_NO 13511 / *Distribution network conductor type table* /

[0176] #define DMS_RESP_AREA_FEEDER_INFO_NO 13512 / *Distribution network responsibility area feeder information table* /

[0177] #define DMS_DISCONNECTOR_DEVICE_NO 13513 / *Distribution network switch table* /

[0178] #define DMS_GROUND_DISCONNECTOR_NO 13514 / *Distribution network grounding switch table* /

[0179] #define DMS_TOKEN_DEFINE_NO 13515 / *Distribution network signboard definition table* /

[0180] #define DMS_TOKEN_INFO_NO 13516 / *Distribution network sign information table* /

[0181] From this, we can conclude that the relevant tables involved in the historical database server are as follows Figure 6 As shown, it includes the main parameters of AVC and the main parameters of the grid structure, among which the main parameters of AVC include the distribution network telesignaling definition table, the distribution network protection node table, the distribution network telemetering definition table, the distribution network measuring point telemetering table and the distribution network measuring point telesignaling table; the main parameters of the grid structure include the distribution network feeder table, the distribution network switch station table, the distribution network switch table, the distribution network load table, the distribution network feeder section table, the distribution network transformer table, the distribution network busbar table, the distribution network capacitor table, the distribution network load type table, the distribution network terminal information table, the distribution network conductor type table, the distribution network tower table, the distribution network grounding knife switch table, the distribution network knife switch table, the distribution network signboard definition table, the information table and the distribution network responsibility area feeder information table.

[0182] (3) Based on the analysis of the above AVC architecture and data, we defined the conditions for reactive voltage regulation and conducted an in-depth analysis of the available resources for distribution network voltage regulation. Based on the analysis of basic conditions, this patent draws the following conclusions: In the distribution network, the available resources for voltage regulation include the taps of the main transformer of the substation, the capacitors / reactors in the substation, the reactive compensation devices installed on the distribution network lines, the low-voltage reactive compensation devices in the distribution room, and the distributed power sources. The reasonable allocation and optimal utilization of these resources are of great significance to improving the voltage quality and operating efficiency of the distribution network. Specifically, the relationship between the deployable resources and the reactive voltage regulation conditions is analyzed as follows: Figure 7 As shown in the figure, the available resources for distribution network voltage regulation include the tap of the main transformer of the substation, the reactive power compensation device installed on the distribution line of the capacitor / reactor in the substation, the low-voltage reactive power compensation device in the distribution room and the distributed power supply. The conditions for distribution network voltage regulation (one or more of them can be achieved) include: the main transformer of the substation within the distribution network regulation range contains an on-load voltage-changing transformer and can be remotely controlled; the substation within the distribution network regulation range has reactive power compensation equipment and can be remotely switched on and off; the key measurements of the distribution network (voltage, reactive power, etc.) can be controlled through wireless public networks and wireless dedicated networks; The data is uploaded through the communication methods such as the power grid, power carrier or optical fiber; the measurement and collection cycle meets the quasi-real-time requirements and the accuracy reaches the control requirements; there are distributed new energy sources within the regulation and management scope, and the key measurements are connected to the distribution network automation system and can be subject to unified control of the distribution network; there are regional energy management systems or park management systems within the regulation and management scope, and the relevant systems have the ability to regulate voltage and reactive power; 10kV lines and reactive compensation devices on the low-voltage side of distribution transformers that can be remotely controlled are optionally equipped within the regulation and management scope; 10kV line voltage regulators or 10kV voltage regulating transformers that can be remotely controlled are optionally equipped within the regulation and management scope.

[0183] In summary, there is a close relationship between deployable resources and reactive voltage regulation conditions. By rationally allocating and optimizing the use of these resources, effective regulation of distribution network voltage can be achieved, and voltage quality and operating efficiency can be improved. At the same time, this also provides an important reference and reference for the establishment of subsequent distribution network operation monitoring and analysis methods.

[0184] 2. Implementation of distribution network operation status perception assessment and network loss analysis and calculation

[0185] By rationally configuring and optimizing the use of available resources, combined with reactive voltage regulation conditions, the operating status of the distribution network can be perceived, evaluated, monitored, analyzed and effectively regulated, thereby improving voltage quality and operating efficiency. To perceive the operating status of the distribution network, it is necessary to accurately know the load distribution in the distribution network. Under the current state, the redundancy of distribution network measurement is low, which is usually not enough to ensure the observability of the system. It is necessary to make full use of real-time measurement, quasi-real-time measurement and other data to provide reliable basic data for analysis applications and real-time control. The state estimation method is used to perceive the operating status of the distribution network, and then accurate load distribution information is obtained. The data is identified through suspicious data identification: according to the reliability of different data sources and basic electrical rules, the collected data is preliminarily identified. For example, in the absence of distributed power sources and closed-loop operation, the upstream current value should be greater than the downstream current value, and the outlet power of the ring network cabinet should be basically equal to or slightly less than the inlet power.

[0186] By collecting the above data and combining relevant algorithm formulas to calculate active power loss, reactive power loss, node power, node voltage, reactive voltage, etc., we can finally calculate the nodes and nodes that need to adjust reactive power, as well as the related line losses to ensure the availability of reactive power optimization of the distribution network. The relevant calculation methods are as follows:

[0187] 1) Active power loss calculation

[0188] Supports the calculation of active and reactive power data of distribution transformers and line resistance. Since the voltage of each node is unknown, 10kV bus voltage is used uniformly. Based on these known data, the active power loss value of each node is calculated. The calculation formula is:

[0189]

[0190] 2) Calculation of reactive power loss

[0191] Supports the calculation of active and reactive power data of distribution transformers and the reactance of lines. Since the voltage of each node is unknown, the 10kV bus voltage is used uniformly. Based on these known data, the reactive power loss value of each node is calculated. The calculation formula is:

[0192]

[0193] 3) Node power calculation

[0194] Supports calculating the active power loss and reactive power loss calculated, and adding them to the known active and reactive power of each node to get the node power after loss. The calculation formula is:

[0195] P”=P'+ΔP Formula 3

[0196] Q”=Q'+ΔQ Formula 4

[0197] 4) Node voltage calculation

[0198] Supports the voltage drop calculated by the following formula based on the active and reactive power of each node, the known resistance and reactance of the line, and the 10kV bus voltage. The actual node voltage is obtained by subtracting the calculated voltage drop from the 10kV bus voltage. The calculation formula is:

[0199]

[0200] V'=V-ΔV Formula 6

[0201] 5) Reactive voltage calculation

[0202] ① Calculate the P and Q of each node based on the P and Q of each distribution transformer node;

[0203] For example, Figure 8 As shown, the power of node d is known, and the total power of the second section line can be calculated by formulas 3 and 4:

[0204]

[0205] Similarly, the total power of the third line segment can be calculated, and then the power of node b can be calculated by accumulation. By repeating the above calculation in the same way, the power of node a can be calculated.

[0206] ② Given the bus voltage, calculate the voltage of each node;

[0207] It is known that the voltage at node a is the bus voltage. The voltages at nodes b, c, and d can be calculated using formulas 5 and 6.

[0208] ③ Determine whether the voltage of the terminal node is qualified, and judge it according to ±7% of the standard voltage, find out the unqualified terminal node, and find the node a1 with the largest voltage deviation in units of feeders;

[0209] ④ From node a1 upward, search for a station building where the reactive power regulation device can be deployed according to the topology traversal. First, search for a station building with an automation terminal. If there is no such station building, then search for a station building, and then for a pole-mounted terminal.

[0210] ⑤ According to formulas 5 and 6, the reactive voltage that needs to be adjusted is calculated, and finally the nodes that need to adjust the reactive power and the adjustment amount are calculated to support the adjustment operation of the reactive power adjustment device.

[0211] After the above calculations, the network loss of the line is basically obtained. Next, the optimal path algorithm will be used to generate the optimal operation mode plan and execute the plan to realize the analysis function of reactive voltage regulation of the distribution network and optimization of the operation mode according to the network loss.

[0212] 3. Based on the calculation of line loss, the minimum path algorithm is used to determine the minimum network loss line and generate and execute the optimization plan.

[0213] Based on the calculation of line loss, the minimum path algorithm is used to determine the minimum network loss line and generate the optimal operation mode plan. This process aims to achieve high efficiency and economy of power grid operation through precise data analysis and algorithm optimization. The overall implementation process is as follows: Fig. 9 As shown, it includes data preparation, model building, algorithm design, algorithm implementation and optimization, result output and function implementation. Among them, data preparation includes obtaining feeder information, ring network path, switch status and load distribution based on the historical data server, and preprocessing the data, including noise reduction, screening and comparison, to obtain accurate and reliable data. Model building includes the definition of network loss parameters and constraints. Network loss parameters include active power loss, reactive power loss, node power, node voltage and reactive voltage. The overall goal of the constraints is the minimum network loss auxiliary goal, including minimum operating cost, maximization of comprehensive economic benefits, optimization of voltage level, minimum change of control quantity, minimum adjustment times and minimum switching times. Algorithm implementation method The system automatically searches for the contact switch, calculates the total network loss value of the contact switch, and selects the disconnect switch involved in the minimum network loss as the new contact switch. The result output and function implementation steps include outputting the optimal operation plan. The plan name is the main XX switch of XX line of XX substation to the XX switch section of XX line of XX substation, which is powered by XX line of XX substation; operation steps, switch operation sequence, remote control (disconnect / close).

[0214] In the process of determining the minimum network loss line, multiple factors such as power grid structure, load distribution, and equipment status are comprehensively considered, and the minimum path algorithm is used for global optimization. The algorithm can effectively search for all possible line combinations and find the line combination with the minimum network loss by comparing the network loss of each combination. Therefore, the minimum network loss in the grid must be determined first, and a digital model of the power grid operation must be constructed.

[0215] (1) Establishment of digital model of power grid operation:

[0216] In the above steps, we have conducted in-depth analysis and processing of key data such as feeder information, ring network path, switch status, load distribution, etc. Next, we will build a digital model that can accurately reflect the actual operation of the power grid based on these collected data. The process of model establishment is as follows: Fig.10 As shown:

[0217] 1) Objective function definition: The digital model will comprehensively consider various operating parameters and characteristics of the power grid to ensure that it can truly simulate the actual operation of the power grid. When defining the constraints of the model, we use network loss minimization as the core objective function, aiming to find the best power grid operation plan through optimization algorithms to achieve the goal of reactive power optimization of the distribution network.

[0218] 2) Constraint design: In addition to the main goal of minimizing network loss, this invention also comprehensively considers multiple auxiliary goals, such as minimum operating cost, maximum comprehensive economic benefit, optimal voltage level, minimum change in control quantity, minimum number of adjustments or minimum number of switching, etc. These goals together constitute a multi-objective overall optimal optimization framework, making the digital model more comprehensive and practical. The designed constraints are as follows:

[0219]

[0220]

[0221] 3) Modeling: After detailed analysis and processing of the above steps, a simplified grid operation model was successfully constructed. This model presents the key components and operation mechanisms of the grid in an intuitive way, providing strong support for subsequent optimization and analysis.

[0222] like Fig.11 As shown in the figure, in this simplified grid operation model, Ki represents the feeder switch, which is responsible for controlling the flow path of the current in the grid. Ui represents the terminal (node), which is the access point of each power-consuming device in the grid. Through the coordinated work of these switches and nodes, the grid can achieve stable and efficient operation.

[0223] This simplified model not only retains the core elements of power grid operation, but also removes unnecessary complexity, allowing us to more clearly understand the operating principles and laws of the power grid. At the same time, it provides a convenient tool for simulating and analyzing the performance of the power grid under different operating conditions, thereby guiding more precise optimization and adjustment.

[0224] (2) Based on the simplified grid operation model constructed above, we start to reconstruct the basic network topology. This process aims to further reduce network losses and improve grid operation efficiency by optimizing the connection relationship between feeders. The specific implementation steps are as follows:

[0225] 1) Automatic search for interconnected feeders: The system has intelligent identification function and can automatically select two feeders with potential interconnection relationship. This step lays the data foundation for subsequent ring network path calculation and network loss analysis.

[0226] 2) Ring network path and network loss calculation: For the two selected feeders, the system will examine the situation of the switches on the path as tie switches one by one according to their ring network paths, and calculate the corresponding total network loss values ​​respectively. This process involves complex power system analysis and calculations, ensuring the accuracy and reliability of the results.

[0227] 3) Determine the optimal tie switch: After completing the network loss calculation of all possible tie switch combinations, the system will select the combination with the smallest network loss as the new tie switch solution. This solution not only effectively reduces network losses, but also improves the overall operation efficiency of the power grid. Its implementation logic is as follows Fig.12 shown.

[0228] Through the implementation of the above three steps, the reconstruction of the basic network topology is realized. This reconstruction process not only optimizes the connection relationship between feeders, confirms the optimal operation mode and its optimal operation topology, but also introduces the realization of the optimal operation plan generation function based on this.

[0229] (3) Generation and execution of optimal operation mode scheme.

[0230] 1) Plan generation: The system automatically generates a plan to adjust the optimal operation mode based on the topological relationship after confirming the optimal operation mode by calculation. The plan is saved in the system by county bureau, feeder name, and generation time, and is displayed on the feeder optimization plan display interface. Click to enter to filter and view by county bureau, feeder name, and time.

[0231] The plan content includes the plan name "The line from the main XX switch of XX line of XX substation to the XX switch section of XX line of XX substation is switched to be powered by the XX line of XX substation", and the plan also has operation steps.

[0232] 2) Optimal operation mode execution function

[0233] ① According to the contact switch operation sequence generated in the scheme, it supports the (remote control) disconnection or (remote control) closing operation of the switch.

[0234] ② According to the name of the scheme content "XX substation XX line main XX switch to XX substation XX line XX switch section line is powered by XX substation XX line", it supports the generation of operation ticket operation tasks and operation steps. The operation step format is based on the operation ticket format, and the operation ticket is submitted for review and verification. (The operation ticket is uploaded to the main network for review, and the operation ticket is verified to be correct through operations such as semantic analysis of the main network. If it is correct, it returns an instruction that can be issued or executed for the operation ticket, and the staff then operates according to the operation ticket instruction). Its implementation process is as follows Fig.13 As shown:

[0235] In summary, by elaborating on the AVC system architecture, including interfaces, data, and infrastructure, the conditions and available resources for voltage regulation in the distribution network are comprehensively analyzed and explained. Based on the analysis of these conditions and resources, the calculation mechanism of relevant parameters and their detailed description are introduced, and combined with the available equipment operation monitoring function, the voltage quality indicators are deeply analyzed to accurately perceive and evaluate the operating status of the distribution network. At the same time, the line loss classification and calculation method are defined, and the network loss optimization algorithm is implemented, and finally the overall architecture of reactive voltage regulation and network loss optimization operation mode is constructed. The overall architecture of the reactive voltage regulation of the distribution network based on the improved AVC and the analysis method of the optimized operation mode according to the network loss is as follows Fig.14 This technical solution aims to improve response speed and flexibility, adapt to complex grid structures and variable load conditions, achieve optimal reactive power distribution and minimize network losses, while reducing dependence on manual intervention, reducing the difficulty of operation and maintenance, and improving the application effect in modern power systems.

[0236] Compared with the prior art, the power and voltage regulation method of the distribution network adapted to new energy provided in this embodiment combines the advantages of dynamic and static reactive optimization: the traditional AVC system mainly relies on real-time monitoring of voltage levels and adjusts reactive compensation equipment through preset thresholds and strategies. The present invention not only inherits this function, but also combines the advantages of dynamic reactive optimization and static reactive optimization. By comprehensively considering the impact of loads in the control area in different time periods and the optimization requirements of a certain time section of the power system, a more comprehensive reactive voltage regulation and network loss optimization are achieved. Based on the architectural design of the improved automatic voltage control (AVC) system: the present invention elaborates on the AVC system architecture in detail, including interfaces, data and infrastructure, etc., to ensure the real-time and accuracy of the system. This improved design enables the system to better adapt to complex power grid structures and variable load conditions. Reduce manual intervention and reduce the difficulty of operation and maintenance: The automation system reduces the reliance on manual intervention and reduces the difficulty of operation and maintenance. Traditional technologies require more manual operation and monitoring, while the present invention significantly improves the response speed and flexibility of the system through automation means to meet the needs of modern power systems.

[0237] To summarize, this application improves the AVC system architecture by integrating the advantages of dynamic and static reactive power optimization, realizes real-time data interaction and optimization control strategy calculation, deeply analyzes reactive power voltage regulation and network loss optimization algorithms, reduces manual intervention and reduces the difficulty of operation and maintenance, and significantly improves the effect of distribution network voltage regulation and network loss optimization.

[0238] It can be seen that the distribution network adaptive regulation scheme proposed in this embodiment can quickly respond to changes in the power grid state through real-time monitoring and automatic adjustment, improve the adaptability of the distribution network to dynamic fluctuations, and effectively improve the flexibility and response speed of power grid regulation; at the same time, through precise data analysis and optimization algorithms, it can achieve optimal reactive power distribution and minimize network losses, improve the operating efficiency of the power grid, reduce dependence on manual parameter settings and strategy adjustments, reduce network losses, and reduce operation and maintenance difficulties and costs, thereby improving the safety and stability of the power system.

[0239] In order to facilitate better implementation of the power and voltage regulation method of the distribution network adapted to renewable energy in the embodiment of the present application, the embodiment of the present application also provides a power and voltage regulation device of the distribution network adapted to renewable energy. The meaning of the terms is the same as that in the power and voltage regulation method of the distribution network adapted to renewable energy, and the specific implementation details can refer to the description in the method embodiment.

[0240] See also Fig.15 , Fig.15 A schematic diagram of the structure of a power and voltage regulating device for a distribution network adapted to renewable energy provided in an embodiment of the present application, wherein the power and voltage regulating device for a distribution network adapted to renewable energy may specifically include a monitoring module 201, an adjustment module 202, an analysis module 203, a network loss module 204, and an optimization module 205, which may be specifically as follows:

[0241] The monitoring module 201 is used to monitor the distribution network in real time and obtain the real-time operation data of the distribution network;

[0242] The adjustment module 202 is used to automatically adjust the operation status of the distribution network based on the real-time operation data;

[0243] The analysis module 203 is used to analyze the operation status of the distribution network after automatic adjustment to obtain the analysis result of the operation status of the distribution network;

[0244] A network loss module 204 is used to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result by using the minimum path method;

[0245] The optimization module 205 is used to generate an optimized operation plan based on the minimum network loss line, and adjust the operation state of the distribution network by executing the optimized operation plan.

[0246] In summary, the power and voltage regulation device for distribution network adapted to new energy provided in this embodiment monitors the distribution network in real time through the monitoring module 201 to obtain the real-time operation data of the distribution network; automatically adjusts the operation state of the distribution network based on the real-time operation data through the regulation module 202; analyzes the operation state of the automatically adjusted distribution network through the analysis module 203 to obtain the operation state analysis result of the distribution network; determines the minimum network loss line corresponding to the distribution network according to the operation state analysis result by using the minimum path method through the network loss module 204; generates an optimized operation plan based on the minimum network loss line through the optimization module 205, and adjusts the operation state of the distribution network by executing the optimized operation plan. It can be seen that the power and voltage regulation device for the distribution network adapted to new energy provided in this embodiment can quickly respond to changes in the state of the power grid through real-time monitoring and automatic adjustment, improve the adaptability of the distribution network to dynamic fluctuations, and effectively improve the flexibility and response speed of power grid regulation; at the same time, through precise data analysis and optimization algorithms, it can achieve optimal reactive power distribution and minimize network losses, improve the operating efficiency of the power grid, reduce dependence on manual parameter settings and strategy adjustments, reduce network losses, and reduce the difficulty and cost of operation and maintenance, thereby improving the safety and stability of the power system.

[0247] In addition, the present application also provides an electronic device, such as Fig.16 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application. Specifically, the electronic device may include a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, an input unit 304 and other components. Those skilled in the art can understand that Fig.16 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0248] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.

[0249] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and a power distribution network power voltage regulation method adapted to new energy by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0250] The electronic device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply 303 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0251] The electronic device may further include an input unit 304, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0252] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:

[0253] The distribution network is monitored in real time to obtain real-time operation data of the distribution network; based on the real-time operation data, the operation status of the distribution network is automatically adjusted; the operation status of the distribution network after automatic adjustment is analyzed to obtain the operation status analysis results of the distribution network; the minimum path method is used to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis results; an optimized operation plan is generated based on the minimum network loss line, and the operation status of the distribution network is adjusted by executing the optimized operation plan.

[0254] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0255] The embodiments of the present application can quickly respond to changes in the state of the power grid through real-time monitoring and automatic adjustment, improve the adaptability of the distribution network to dynamic fluctuations, and effectively improve the flexibility and response speed of power grid regulation; at the same time, through precise data analysis and optimization algorithms, optimal reactive power distribution and minimized network losses can be achieved, the operating efficiency of the power grid can be improved, and dependence on manual parameter settings and strategy adjustments can be reduced. While reducing network losses, the difficulty and cost of operation and maintenance are reduced, thereby improving the safety and stability of the power system.

[0256] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0257] To this end, an embodiment of the present application provides a storage medium in which multiple instructions are stored.

[0258] The instruction can be loaded by the processor to execute the steps in any of the power and voltage regulation methods for a distribution network adapted to new energy provided in the embodiments of the present application. For example, the instruction can execute the following steps:

[0259] The distribution network is monitored in real time to obtain real-time operation data of the distribution network; based on the real-time operation data, the operation status of the distribution network is automatically adjusted; the operation status of the distribution network after automatic adjustment is analyzed to obtain the operation status analysis results of the distribution network; the minimum path method is used to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis results; an optimized operation plan is generated based on the minimum network loss line, and the operation status of the distribution network is adjusted by executing the optimized operation plan.

[0260] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0261] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. Since the instructions stored in the storage medium can execute the steps in any of the power and voltage regulation methods for a distribution network adapted to new energy provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the power and voltage regulation methods for a distribution network adapted to new energy provided in the embodiments of the present application can be achieved. For details, please refer to the previous embodiments and will not be repeated here.

[0262] The above is a detailed introduction to a power and voltage regulation method, device, electronic device and storage medium for a distribution network adapted to new energy provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and scope of application. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A power and voltage regulation method for a distribution network adapted to new energy, characterized in that: The steps include: Monitor the distribution network in real time and obtain real-time operation data of the distribution network; Automatically adjusting the operating state of the distribution network based on the real-time operating data; Analyzing the operating status of the distribution network after automatic adjustment to obtain an analysis result of the operating status of the distribution network; Determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result by using the minimum path method; An optimized operation plan is generated based on the minimum network loss line, and the operation state of the distribution network is adjusted by executing the optimized operation plan.

2. The power and voltage regulation method for a distribution network adapted to new energy sources according to claim 1, characterized in that: The real-time monitoring of the distribution network and obtaining the real-time operation data of the distribution network include: Real-time monitoring of the real-time operation data of the distribution network and the status of the reactive power compensation equipment through an automatic voltage control system; The power grid data corresponding to the distribution network is obtained in real time through telemetry technology and telesignaling technology.

3. The power and voltage regulation method for a distribution network adapted to new energy sources according to claim 1, characterized in that: Before automatically adjusting the operating state of the distribution network based on the real-time operating data, the method further includes: Defining a regulation condition for the voltage regulation of the distribution network; The available resources for voltage regulation of the distribution network are analyzed.

4. The power and voltage regulation method for a distribution network adapted to new energy sources according to claim 3 is characterized in that: The automatically adjusting the operating state of the distribution network based on the real-time operating data includes: Determining an automatic adjustment strategy for the distribution network based on the real-time operation data, the adjustment conditions and the available resources; Receive an adjustment instruction from an automatic voltage control system, and automatically adjust the state of reactive power compensation equipment in the distribution network according to the automatic adjustment strategy through the automatic voltage control system to maintain the voltage of the distribution network within a preset range.

5. The power and voltage regulation method for a distribution network adapted to new energy sources according to claim 1, characterized in that: The analyzing the operating state of the automatically adjusted distribution network to obtain the operating state analysis result of the distribution network includes: Obtain real-time operation data and grid data of the automatically adjusted distribution network; Performing data identification processing on the real-time operation data and the power grid data; A state estimation method is used to perceive the operating state of the automatically adjusted distribution network based on the real-time operating data and power grid data after data identification and processing, and obtain the corresponding load distribution information. Based on the load distribution information, an operation status analysis result of the distribution network is generated.

6. The power and voltage regulation method for a distribution network adapted to new energy sources according to claim 1, characterized in that: The method of using the minimum path method to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result includes: Calculating the operating status information corresponding to each node in the distribution network based on the operating status analysis result, the operating status information including at least one of active power loss, reactive power loss, node power, node voltage, and reactive voltage; Based on the operation status information, determining the target node and adjustment amount that need to adjust reactive power; Searching for multiple line combinations based on the target node through a pre-built power grid model, and calculating the network loss corresponding to each line combination; A line combination with the smallest network loss is selected as the minimum network loss line corresponding to the distribution network.

7. The power and voltage regulation method for a distribution network adapted to new energy sources according to claim 1, characterized in that: The generating of the optimized operation plan based on the minimum network loss line, and adjusting the operation state of the distribution network by executing the optimized operation plan, includes: Define the objective function and constraints of the power grid model; Generate a corresponding optimized operation plan according to the minimum network loss line through the power grid model; Performing simulation verification on the optimized operation scheme; Convert the optimized operation plan verified by simulation into corresponding dispatching instructions, and send the dispatching instructions to corresponding power grid equipment through the automatic voltage control system; After the power grid device receives the dispatch instruction, it executes the dispatch operation corresponding to the dispatch instruction to adjust the operating state of the distribution network.

8. A power and voltage regulating device for a distribution network adapted to new energy sources, characterized in that: include: A monitoring module, used to monitor the distribution network in real time and obtain real-time operation data of the distribution network; A regulating module, used for automatically regulating the operating state of the distribution network based on the real-time operating data; An analysis module, used to analyze the operating status of the distribution network after automatic adjustment to obtain an analysis result of the operating status of the distribution network; A network loss module, used to determine the minimum network loss line corresponding to the distribution network according to the operation status analysis result by using the minimum path method; The optimization module is used to generate an optimized operation plan based on the minimum network loss line, and adjust the operation state of the distribution network by executing the optimized operation plan.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for power and voltage regulation of a distribution network adapted to new energy sources as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method for regulating power and voltage of a distribution network adapted to new energy sources as described in any one of claims 1 to 7.

Images