An active distribution network control system

Abstract

The active distribution network control system provided by the present application includes: a guidance module, which is used to receive management files, and the management files include guidance opinions for controlling the active distribution network; an auxiliary module, which is used to collect equipment data related to the active distribution network and analyze the equipment data; an evaluation module, which is respectively connected to the guidance module and the auxiliary module in communication, and the evaluation module is used to evaluate the operating status of the active distribution network according to the guidance opinions and equipment data to obtain the evaluation results; a management architecture module, which is connected to the evaluation module and the auxiliary module in communication, and the management architecture module is used to adjust the control process of the active distribution network according to the evaluation results and the analysis results. The management foundation is consolidated through the guidance module, new technology applications are added through the auxiliary module, the management effectiveness is verified through the evaluation module, and according to the evaluation results, the control process of the active distribution network is reshaped through the management architecture module to achieve full-process and all-round management of new energy.

Description

Technical Field

[0001] The present application relates to the technical field of integrated control systems for source distribution networks, and in particular to an active distribution network control system. Background Art

[0002] Nowadays, high efficiency, cleanliness and low carbon have become the mainstream direction of energy development. The production process of the new power system is based on new energy, and the electricity consumed is low-carbon / near-zero carbon electricity, which is the core of the top-level design of the new power system. From a national perspective, the moment of inertia in the power system will accelerate from high to low, and the terminal load characteristics will change from the traditional rigid, pure consumption type to the flexible, production and consumption type. New productivity requires new production relations to match. The "prosumers" who integrate power generation and consumption have new expectations for the transformation of energy consumption, and the industrial form and development system of the power energy market will accelerate the reorganization. The traditional distribution network form is changing rapidly. From a physical point of view, the passive network has become an active network, from a form point of view, the passive network has become an active network, from a functional point of view, the power supply network has become a comprehensive energy / information network, and from a positioning point of view, the end of the power grid has become the front end of the power grid. The "dynamic balance of source, grid and load" will replace the "supply and demand contradiction" and become the biggest challenge facing the operation and development of power companies. Therefore, the traditional distribution network system cannot improve its own management and control process to improve the system to suit the development of power companies. Summary of the invention

[0003] In order to solve the above technical problems, the present application is proposed. The embodiment of the present application provides an active power distribution network control system, which solves the problem that the traditional power distribution network system cannot improve its own control process.

[0004] According to one aspect of the present application, an active distribution network management and control system is provided, comprising: a guidance module, the guidance module being used to receive a management file, the management file comprising guidance opinions for managing and controlling the active distribution network; an auxiliary module, the auxiliary module being used to collect equipment data related to the active distribution network and analyze the equipment data to obtain analysis results; an evaluation module, the evaluation module being communicatively connected to the system module and the auxiliary module respectively, the evaluation module being used to evaluate the operating status of the active power grid according to the guidance opinions and the equipment data to obtain evaluation results; and a management architecture module, the management architecture module being communicatively connected to the evaluation module and the auxiliary module, the management architecture module being used to adjust the management and control process of the active distribution network according to the evaluation results and the analysis results.

[0005] In one embodiment, the management architecture module includes: a sharing module, and the sharing module is used to store operation data related to the active power distribution network.

[0006] In one embodiment, the management and control architecture module includes: an acceptance module, which accepts data uploaded by devices related to the active power distribution network according to a preset process.

[0007] In one embodiment, the acceptance module performs grid connection acceptance according to the technical requirements of the low-voltage distributed photovoltaic power grid.

[0008] In one embodiment, the auxiliary module includes a graph sharing module, and the graph sharing module is used to store the power consumption data corresponding to the active power distribution network in a preset area.

[0009] In one embodiment, the auxiliary module includes a function prediction module, and the function prediction module is used to predict and evaluate the power of the substation corresponding to the active power distribution network, and the substation includes a distribution transformer, a line, and a bus.

[0010] In one embodiment, the auxiliary module includes an early warning module. When the collected distributed photovoltaic power is higher than a preset power, the early warning module generates a prompt message to prompt that the distributed photovoltaic power is overloaded.

[0011] In one embodiment, the evaluation module includes: an operation level module, which constructs an active distribution network evaluation index unit based on big data analysis, and the active distribution network evaluation index unit is used to monitor the operating conditions of power grid equipment and distributed new energy equipment.

[0012] In one embodiment, the evaluation module includes: a management level module, and the management level module is used to evaluate the operation process of the business management system according to preset evaluation indicators.

[0013] In one embodiment, the guidelines include: one or more of: security management and control guidelines, equipment operation and maintenance guidelines, regulation and control operation guidelines, marketing service guidelines, and information communication guidelines.

[0014] The present application provides an active distribution network control system, including: a guidance module, the guidance module is used to receive management files, and the management files include guidance opinions for controlling the active distribution network; an auxiliary module, the auxiliary module is used to collect equipment data related to the active distribution network and analyze the equipment data; an evaluation module, the evaluation module is connected to the guidance module and the auxiliary module respectively, and the evaluation module is used to evaluate the operating status of the active distribution network according to the guidance opinions and equipment data to obtain the evaluation results; and a management architecture module, the management architecture module is connected to the evaluation module and the auxiliary module, and the management architecture module is used to adjust the control process of the active distribution network according to the evaluation results and the analysis results. The management foundation is consolidated through the system module, new technology applications are added through the auxiliary module, the management effectiveness is tested through the evaluation module, and according to the evaluation effect, the control process of the active distribution network is reshaped through the management architecture module to form a closed-loop control system for the active distribution network, so as to realize the full process and all-round management of new energy, and conform to the self-established transformation and development of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0016] Figure 1 It is a structural diagram of an active power distribution network control system provided by an exemplary embodiment of the present application.

[0017] Figure 2 It is a flow chart of an active power distribution network control system provided by an exemplary embodiment of the present application.

[0018] Figure 3 It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application.

[0019] Figure 4 It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application.

[0020] Figure 5 It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application.

[0021] Figure 6 It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application.

[0022] Figure 7It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application.

[0023] Figure 8 It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application.

[0024] Fig. 9 It is a structural diagram of an active power distribution network control system provided by another exemplary embodiment of the present application. DETAILED DESCRIPTION

[0025] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0026] Figure 1 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by an exemplary embodiment of the present application. Figure 1 As shown, the active distribution network management and control system 10 includes: a guidance module 11, an auxiliary module 12, an evaluation module 13 and a management architecture module 14. The guidance module 11 is used to receive management files, and the management files include guidance opinions for managing and controlling the active distribution network. The auxiliary module 12 is used to collect equipment data related to the active distribution network and analyze the equipment data to obtain analysis results. The evaluation module 13 is communicated with the guidance module 11 and the auxiliary module 12 respectively. The evaluation module 13 is used to evaluate the operating status of the active distribution network according to the guidance opinions and the equipment data to obtain evaluation results. The management architecture module 14 is communicated with the evaluation module 13 and the auxiliary module 12. The management architecture module 14 is used to adjust the management and control process of the active distribution network according to the evaluation results and the analysis results.

[0027] Management documents are received through the guidance module 11 to consolidate the management foundation of the active distribution network. Due to the lack of relevant management standard systems and operation management systems, problems such as extensive planning and design of new energy, poor coupling and matching of operation and management, and inconsistent performance assessment standards have occurred. Therefore, the active distribution network can be guided through guidance opinions, which mainly include several aspects: process link connection, node-based management and control, joint regulation and operation, equipment operation and maintenance, safety management and control, marketing services, information communication, etc. Auxiliary module 12, auxiliary module 12 is used to collect equipment data related to the active distribution network and analyze the equipment data to obtain an analysis structure. The equipment data quality analysis in the auxiliary module 12 can analyze the data quality through big data analysis, artificial intelligence and other technologies to analyze the quality of the equipment data. The auxiliary module 13 can also analyze the quality of the equipment data based on the technical requirements provided by local universities, authoritative experts, etc. for the diversified management of distributed new energy.

[0028] The evaluation module 13 is respectively connected to the guidance module 11 and the auxiliary module 12 in communication. The evaluation module 13 is used to evaluate the operating status of the active distribution network according to the guidance opinions and equipment data to obtain the evaluation results. The evaluation module 13 evaluates the operating level and management level of the active power grid. The evaluation module 13 can evaluate the operation process of the enterprise's business management and the efficiency brought to the enterprise in accordance with the requirements of the "Excellent Performance Evaluation Criteria". The evaluation module 13 evaluates the operation process of the enterprise's business management and the efficiency brought to the enterprise in accordance with the management methods and operation effects such as new energy planning, equipment acceptance, regulation and operation, maintenance and emergency, etc., to obtain performance scores, so as to diagnostically evaluate the effectiveness of the management system and promote the continuous improvement of the management level.

[0029] Management architecture module 14, management architecture module 14 is in communication with evaluation module 13 and auxiliary module 12, and management architecture module 14 is used to adjust the control process of active distribution network according to evaluation results and analysis results. Management architecture module 14 adjusts the control process of active distribution network through the energy attributes and location advantages of the local power grid, so as to strengthen shortcomings, streamline interfaces, innovate mechanisms, and reshape the operation and management mode of active distribution network that is closely connected, benignly interactive, and safe and open. In addition, the control process can enhance the ability to accept and support new energy, adapt to the access of diversified loads such as electric vehicles, 5G base stations, and data center stations, and meet the differentiated needs of energy storage, integrated energy, etc., among which the adjustment of the control process includes modifying guidance opinions, etc.

[0030] Figure 2 FIG. 1 is a flow chart of an active power distribution network control system provided by an exemplary embodiment of the present application. Figure 2 As shown, the process includes:

[0031] Step 110: Receive management files.

[0032] Step 120: Collect equipment data related to the active power distribution network and analyze the equipment data to obtain analysis results.

[0033] Step 130: Evaluate the operating status of the active distribution network according to the guidance and the equipment data to obtain an evaluation result.

[0034] Step 140: Adjust the control process of the active distribution network according to the evaluation results and analysis results.

[0035] First, the management file is received, which contains guidance opinions. By collecting and analyzing the equipment data related to the active distribution network, the analysis results are obtained. The analysis results indicate whether the equipment data meets the preset conditions. The preset conditions can be a safety range. If the equipment data is within the safety range, it means that the equipment data is high-quality. If it is not within the safety range, the equipment data is poor, which can reflect the abnormal operation of the equipment. Then, based on the guidance opinions and equipment data, the operating status of the active distribution network is evaluated, for example, the operating level and management level of the active power grid are evaluated. Finally, based on the evaluation results and analysis results, the control process of the active distribution network is adjusted, for example, the guidance opinions can be adjusted or supplemented.

[0036] Figure 3 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Figure 3 As shown, the management architecture module 14 includes: a sharing module 141, and the sharing module 141 is used for storing operation data related to the active power distribution network.

[0037] The sharing module 121 can combine the relevant distribution network data corresponding to the development, regulation, marketing and other departments to achieve professional barriers and strengthen the effect of cross-professional resource sharing. A cross-departmental and cross-professional flexible distributed new energy management team can be established to connect and serve distributed new energy customers. The new energy management team can closely track and deeply interpret the government's new energy policy trends and layout plans. And the sharing module 141 stores the interpreted trends and layout plans for various departments of the power grid to view. The sharing module 141 can store multiple data (all data related to the active distribution network). The sharing module 141 can calculate and analyze the carrying capacity of distributed power sources connected to the power grid, and customize the carrying capacity location map according to the calculation results, so as to optimize and adjust the power grid planning, accurately deploy points to optimize the grid, and rigidly improve the main grid acceptance capacity. The storage of the sharing module 141 includes the joint formulation of a win-win grid connection plan for all parties, guiding the precise planning of distributed new energy and orderly and standardized access to the power grid.

[0038] Figure 4 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Figure 4 As shown, the management architecture module 14 includes: an acceptance module 142, which accepts the data uploaded by the equipment related to the active power distribution network according to a preset process.

[0039] The equipment related to the active distribution network includes AVC, AGC equipment, optical differential protection, independent anti-islanding device, etc., which are connected to the link channel of the dispatching data network through optical fiber to realize real-time upload of power station information (data generated by equipment related to the active distribution network).

[0040] The preset process includes the online acceptance process of new energy dispatching and grid connection of the province-region-station interaction, and implements the three-level dispatching acceptance mode of station self-acceptance, local dispatching pre-acceptance, and provincial dispatching acceptance. If there are links such as equipment maintenance, plan declaration, and fault handling during the station self-acceptance process, the corresponding station self-acceptance can issue instructions to handle the faults of the equipment under maintenance through fault handling methods.

[0041] In one embodiment, the acceptance module performs grid connection acceptance according to the technical requirements of the low-voltage distributed photovoltaic power grid.

[0042] In the early stage, the whole process of low-voltage distributed new energy from application, investigation, acceptance, power transmission to grid connection can be carefully sorted out, and then a comprehensive field investigation can be carried out, and feedback opinions can be collected in a timely manner to formulate the technical requirements of low-voltage distributed photovoltaic power grids. The acceptance module conducts grid connection acceptance according to the technical requirements of low-voltage distributed photovoltaic power grids, thereby standardizing the distributed new energy grid connection process, strengthening the distributed new energy grid connection management and control, and incorporating technical requirements into the grid connection acceptance process and project contracts.

[0043] In addition, after acceptance, an upgraded 10kV distributed photovoltaic centralized access area protection configuration and setting plan will be generated to protect the line light difference and anti-islanding protection of the 11 dedicated grid-connected distributed photovoltaic configurations, and at the same time increase the neutral point gap protection, line protection, decoupling and standby automatic switching device joint tripping grid-connected switch circuit 226 of the upper main transformer at the grid-connected point to avoid incorrect operation caused by new energy output after a grid failure. At the same time, a line PT is installed on the grid-connected path line system side or the reclosing time is extended (from 1.5 seconds to 2.5 seconds, in conjunction with the anti-islanding protection action time of 2 seconds), and the reclosing is performed after the new energy is off the grid. By installing a fault recorder at the substation where the new energy is connected, the operation data of the new energy side is widely collected, the operation status and fault causes of the active distribution network are studied, and the operation status and fault causes are added to the technical requirements of the low-voltage distributed photovoltaic power grid, so that the operation data of the active distribution network is accepted with reference to the analysis of the operation status and fault causes.

[0044] In one embodiment, the management and control architecture module includes: a dispatching control unit, and the dispatching control unit includes displaying power consumption data corresponding to the active power distribution network.

[0045] The change of distribution network diagram model is the basis for ensuring the practical application of main distribution integration. On the basis of ensuring 100% accuracy of the change execution rate, the HPLC broadband power carrier of the marketing department's power consumption information collection system is combined to achieve 100% access to the operation information of low-voltage distributed new energy users, and is embedded in the smart grid dispatching and control system, expanding the main distribution integration (because the active main network can easily view the power consumption data, and the distribution network needs to install HPLC to view or display the power consumption data of the distribution network) dispatching and control system functions, realizing the panoramic monitoring of distributed new energy basic information and operation data, and effectively solving the "blind adjustment" problem of active distribution network. The distribution network diagram model management adheres to the principle of "source only, data sharing, diagram and reality, and unified rights and responsibilities". The grid-connected new energy model data under the distribution transformer is imported into the main distribution integrated smart grid dispatching and control system by the staff every day from the acquisition system. The automation personnel of the control agencies at all levels maintain the active distribution transformer identification of the smart grid dispatching and control system according to the scope of regulation. The equipment change data is collected and reported according to the principle of "who is in charge, who is responsible", and is responsible for its uniqueness, accuracy, standardization and real-time performance.

[0046] In one embodiment, the control architecture module can be specifically configured as: a statistical module, which is used to perform statistical analysis on the correctness, timeliness, and standardization of each link of the distribution network diagram change process flow. By carrying out assessment and evaluation of general assessment indicators such as the distribution network power outage plan execution rate, the distribution network change process execution rate, the distribution network diagram pass rate, and the distribution network diagram coverage rate, the inconsistency between the diagram and the actual situation and the missing data caused by personnel responsibility in the distribution network diagram change process management are included in the notification assessment.

[0047] Figure 5 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Figure 5 As shown, the auxiliary module 12 includes a graph sharing module 121, and the graph sharing module 121 is used to store the power consumption data corresponding to the active power distribution network in a preset area.

[0048] In the pilot of dispatching smart grid dispatching control system, explore the minute-level high-frequency collection access of household photovoltaic, build a distribution network diagram data sharing unit including distributed power sources, realize the full transparency of information from the distribution network trunk to the distributed new energy, and the panoramic monitoring of the basic information and operation data of distributed power sources. That is, store the power consumption data corresponding to the active distribution network in the preset area, which represents the power consumption of the user. By displaying a variety of operation data in the control cloud system, continuously improve the perception and analysis capabilities of distributed photovoltaic information, optimize the data interaction mode with the collection system, improve the stability and timeliness of data collection, conduct user operation efficiency analysis based on distributed photovoltaic data, and give optimization and improvement suggestions to users who "speak" with operation data. Focusing on the impact of distributed new energy on low-frequency control load, the situation display of the chessboard power supply area (distributed new energy concentrated grid-connected area) is completed in the BI system, and the change of the nature of the cut load "from load to source" is presented for the first time. Through the analysis of the impact of distributed photovoltaic construction on the low-frequency load reduction control capability, the low-frequency load reduction capability monitoring and early warning mechanism is established.

[0049] Figure 6 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Figure 6 As shown, the auxiliary module 12 includes a function prediction module 122, which is used to predict and evaluate the power of the substation corresponding to the active distribution network. The substation includes a distribution transformer, a line, and a busbar.

[0050] Carry out power forecasting based on the grid structure, complete the power forecast combination of new energy stations in any power supply area, realize medium- and long-term power forecasting evaluation, and guide the maintenance of power grid equipment and the arrangement of operation mode. Integrate grid-based numerical meteorological precision modeling, rely on the distributed photovoltaic power data of the acquisition system, pilot the construction of distributed new energy power forecasting system, complete the sorting of various data ledgers and model development in various regions, and complete the system construction of power forecasting display functions of four granularities: distribution transformer, line, bus, and substation. Through the improvement of seven major functions such as information collection, data preprocessing, data management, distributed photovoltaic power source overview, substation-bus-line-area access overview, distributed photovoltaic short-term power forecast, and post-forecast evaluation, it meets the work needs of load forecasting, mode arrangement, day-ahead verification, overload warning, etc. after a large number of distributed photovoltaics are connected to the power grid, and reserves scheduling space for distributed new energy operation control and production organization.

[0051] Figure 7 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Figure 7 As shown, the auxiliary module 12 includes an early warning module 123. When the collected distributed photovoltaic power is higher than the preset power, the early warning module generates a prompt message to prompt that the distributed photovoltaic power is overloaded.

[0052] When the collected distributed photovoltaic power is higher than the preset power, the early warning module generates a prompt message to prompt the distributed photovoltaic power overload, thereby achieving the working requirements of overload early warning. Distributed photovoltaic includes photovoltaic panels.

[0053] Figure 8 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Figure 8 As shown, the evaluation module 13 includes: an operation level module 131, and the operation level module 131 constructs an active distribution network evaluation index unit according to big data analysis, and the active distribution network evaluation index unit is used to monitor the operating conditions of power grid equipment and distributed new energy equipment.

[0054] Active distribution networks with distributed renewable energy as the main body have the characteristics of wide range and complex system, and there is a lack of evaluation systems for the economic efficiency and technical safety of active distribution networks at home and abroad. In view of the problems of power transmission, main equipment N-1 overload, voltage fluctuation and flicker in the power grid after the active distribution network, we make full use of big data, artificial intelligence and other means, apply the advanced thinking concepts of digital transformation and the current distributed renewable energy management practices, and tailor the active distribution network management indicator system to reflect the operating status of the active distribution network in real time and guide the safe dispatching and operation of the power grid and the early planning and construction.

[0055] The active distribution network evaluation index system based on big data analysis comprehensively and intuitively monitors the operating conditions of power grid equipment and distributed new energy equipment through production simulation diagrams, status diagrams, data tables and other methods, couples energy flow and information flow at the power grid end, dynamically evaluates new energy equipment and its impact on power grid safety performance, and forms a safe and economical operation mode for the active distribution network end and the user load end that is adapted to local conditions, optimized according to time, multi-energy complementary, and flexible and interactive according to the dynamic changes in the load demand side. The equipment reliability and economic level of the active distribution network operation will be greatly improved.

[0056] Fig. 9 FIG. 1 is a schematic diagram of the structure of an active power distribution network control system provided by another exemplary embodiment of the present application. Fig. 9 As shown, the evaluation module 13 includes: a management level module 132, and the management level module 132 is used to evaluate the operation process of the business management system according to preset evaluation indicators.

[0057] The comprehensive management and control system of the active distribution network with distributed new energy as the main body is an improvement and sublimation of the current distributed energy management model, and various businesses have achieved seamless transition and connection. A result-oriented system post-evaluation system is established. On the one hand, it enriches the key technical details of the management system on core businesses such as new energy planning, equipment acceptance, regulation and operation, and maintenance and emergency response, and simultaneously updates the target requirements of the management and control system. On the other hand, it promotes various business management departments to continuously analyze the new characteristics of the active distribution network, study the new form of the active distribution network, and continuously enrich the content of the active distribution network business essential management system to ensure the implementation of business goals.

[0058] The evaluation of the comprehensive management and control system of active distribution networks focuses on the operation process of the business management system and the efficiency it brings to the enterprise. The "Excellence Performance Evaluation Criteria" is introduced into the comprehensive management and control system of active distribution networks. The management methods and operation effects of new energy planning, equipment acceptance, regulation and operation, maintenance and emergency are refined according to the description methods provided by the standard. The excellent performance scoring and measurement tools are used to diagnose and evaluate the effectiveness of the management system and promote the continuous improvement of management level. The preset indicators include new energy planning indicators, equipment acceptance indicators, regulation and operation indicators, maintenance and emergency indicators, etc.

[0059] In one embodiment, the guidance includes one or more of: security management and control guidance, equipment operation and maintenance guidance, regulation and control operation guidance, marketing service guidance, and information communication guidance.

[0060] In summary, the construction of an integrated control system for active distribution networks with the goal of building a new power system has achieved significant economic benefits through the application of various advanced technologies such as 5G and optical fiber. First, the annual income of distributed new energy users has increased year by year. While improving customer satisfaction with energy use, power supply companies have provided strong support for the government to innovate a good business environment. Second, distributed photovoltaic access upgrades and renovations have been carried out to greatly improve the reliability of distributed photovoltaic operations. Third, the regulation and operation of new energy sites has been optimized, and the terminal grid-connected voltage automatic adjustment device has been developed. The qualified rate of voltages at all levels has reached more than 99%, realizing the economic operation of the power grid, and effectively improving the overvoltage problems caused by large-scale distributed grid connection. Fourth, an innovative "power supply capacity actuarial" model has been constructed to accurately determine the optimal economic plan for power outages, achieving the goals of "one household outage per year" and "substantially reducing the duration of power outages for users."

[0061] As a large state-owned enterprise, State Grid Corporation of China has built an active distribution network comprehensive management and control system with the goal of building a new power system, and has effectively fulfilled its social responsibilities. First, through innovative management, the management model of distributed new energy is optimized. Through the effective implementation of this innovative mechanism, the orderly grid connection of distributed new energy users is vigorously promoted, which is expected to save 11,000 tons of standard coal each year, equivalent to reducing carbon dioxide emissions by 737,000 tons, achieving the goals of energy conservation and environmental protection. Second, in response to the impact of a large number of distributed photovoltaic users in the region on the power quality of the company's power grid, line light difference protection and anti-islanding protection are configured for the problem of excessive power quality indicators found, and neutral point gap protection, line protection, decoupling and standby automatic investment devices of the upper main transformer at the grid connection point are added. Special tests on the power quality of distributed photovoltaic users corresponding to the access substation outlet and busbar are organized, which effectively guarantees the power quality of thousands of households and reflects the responsibility of the enterprise. Third, by carrying out distributed photovoltaic power prediction and post-prediction evaluation based on the grid structure, it is convenient for users to carry out value-added services such as energy analysis, peak-shifting operation, hidden danger investigation, load prediction, optimization suggestions, and multi-energy complementarity, helping enterprises to reduce costs and increase efficiency, improve corporate lean management capabilities, and achieve digital transformation. Fourth, improve user satisfaction. Through technological innovation and the innovative construction of the "power supply capacity actuarial" model, the duration of power outages for users has been greatly reduced, which has effectively "benefited" the people and met their growing yearning for a better life.

[0062] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. An active distribution network control system, characterized in that: include: A guidance module, the guidance module is used to receive a management file, the management file includes guidance opinions for managing and controlling the active power distribution network; The guidance opinions include: one or more of safety management and control guidance opinions, equipment operation and maintenance guidance opinions, control and operation guidance opinions, marketing service guidance opinions and information communication guidance opinions; an auxiliary module, the auxiliary module is used to collect equipment data related to the active distribution network and analyze the equipment data to obtain analysis results; wherein, the equipment data quality analysis of the auxiliary module analyzes the data quality through big data analysis and artificial intelligence technology; an evaluation module, the evaluation module is respectively connected to the guidance module and the auxiliary module, and the evaluation module is used to evaluate the operating status of the active distribution network according to the guidance opinions and the equipment data. Evaluation to obtain evaluation results, and the evaluation module evaluates the operation process of the enterprise's business management and the efficiency brought to the enterprise according to the management methods and operation effects of new energy planning, equipment acceptance, control and operation, and maintenance emergency, so as to obtain performance scores; and a management architecture module, the management architecture module is communicatively connected with the evaluation module and the auxiliary module, and the management architecture module is used to adjust the control process of the active distribution network according to the evaluation results and the analysis results, or the management architecture module adjusts the control process of the active distribution network according to the energy attributes and location advantages of the local power grid, and the control process includes modifying the guidance opinions; The management architecture module includes: a sharing module, which is used to store the operating data related to the active distribution network, and the sharing module calculates and analyzes the carrying capacity of distributed power sources connected to the power grid, and sets the carrying capacity location map according to the calculation results. The sharing module jointly formulates a win-win grid connection plan for all parties.

2. The active power distribution network control system according to claim 1, characterized in that: The management architecture module includes: an acceptance module, which accepts data uploaded by devices related to the active power distribution network according to a preset process.

3. The active power distribution network control system according to claim 2, characterized in that: The acceptance module performs grid connection acceptance according to the technical requirements of the low-voltage distributed photovoltaic power grid.

4. The active power distribution network control system according to claim 1, characterized in that: The auxiliary module includes a graph sharing module, which is used to store power consumption data corresponding to the active power distribution network in a preset area.

5. The active power distribution network control system according to claim 1, characterized in that: The auxiliary module includes a function prediction module, which is used to predict and evaluate the power of the substation corresponding to the active power distribution network. The substation includes a distribution transformer, a line, and a busbar.

6. The active power distribution network control system according to claim 1, characterized in that: The auxiliary module includes an early warning module. When the collected distributed photovoltaic power is higher than the preset power, the early warning module generates a prompt message to prompt that the distributed photovoltaic power is overloaded.

7. The active power distribution network control system according to claim 1, characterized in that: The evaluation module includes: an operation level module, which constructs an active distribution network evaluation index unit based on big data analysis, and the active distribution network evaluation index unit is used to monitor the operating conditions of power grid equipment and distributed new energy equipment.

8. The active power distribution network control system according to claim 1, characterized in that: The evaluation module includes: a management level module, and the management level module is used to evaluate the operation process of the business management system according to preset evaluation indicators.

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