Distributed resource operation regulation simulation integrated system for new power distribution system

Abstract

The present application relates to the technical field of distributed resource operation regulation, in particular to a distributed resource operation regulation simulation integrated system for a new power distribution system, which comprises a regulation service control, a simulation service control, a topology service device, a topology control service device and a topology adjustment service device. The system receives real-time monitoring equipment operation data, performs power distribution network simulation analysis, and draws a dynamically adjusted simulation topology structure diagram. By integrating various simulation scene algorithms, the system can flexibly adjust the monitoring equipment configuration, perform load prediction and voltage analysis based on the current operation state, automatically generate a topology adjustment strategy, and realize efficient operation regulation of the power distribution network. The present application realizes efficient and intelligent operation regulation and simulation analysis of the power distribution system, and improves the management level and operation efficiency of the power distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of distributed resource operation and control, and in particular to a distributed resource operation and control simulation integrated system for a new type of power distribution system. Background Art

[0002] With the continuous development of distributed resources, new distribution systems play a vital role in the operation and regulation of distributed resources, and distribution network simulation technology is one of the key tools to achieve this goal. In the current environment, distributed resources are characterized by their vast quantity, wide variety, and uneven geographical distribution. Furthermore, the increasing popularity of various forms of distributed energy, such as solar photovoltaics, wind power, and small hydropower, poses even more severe challenges to distribution network operation and distribution network simulation technology.

[0003] Considering the inherent characteristics of distributed resources and the challenges associated with large-scale distributed resource access, most existing technologies rely on building models of distributed resource devices. For example, models of distributed resource devices such as solar panels, wind turbines, and energy storage systems are built. Based on real operating data and parameters, simulation models are constructed that conform to the actual operating environment.

[0004] After the distributed resource modeling is completed, the existing system uses third-party simulation tools to simulate different operating conditions, including the power generated by solar photovoltaic panels under different weather and lighting conditions, or simulate seasonal changes in power load, etc., to regulate distributed resources and provide optimization solutions to test and verify the performance of the power system under different load conditions and its response capabilities in different situations.

[0005] Although the above methods have played a vital role in the simulation of the operation of the distribution network with distributed resource access and effectively improved the performance and reliability of the power system, the operation and control of distributed resource access needs to consider the complexity of multiple factors, and the seamless connection and interoperability of the distributed resource operation and control system with the existing traditional distribution network simulation system still need to be solved. Specifically, there are the following issues:

[0006] First, the integrity of historical data on operation and control of distributed resource access: Based on the distributed resource model, real-time simulation using historical data such as temperature, wind speed, humidity, season, and load is insufficient to support potential future simulation scenarios, and cannot truly simulate and evaluate future operation simulation scenarios.

[0007] Second, the interoperability of distributed resource operation and control and simulation tools: The interoperability of distributed resource operation and control and simulation tools still uses data exchange, model fusion, the establishment of unified protocols and interface standards, and model frameworks to simulate distribution networks. During this simulation process, if problems such as data missing and data type mismatch occur, accurate simulation results cannot be fed back, affecting the stability and reliability of the power system. Summary of the Invention

[0008] To this end, the technical problem to be solved by the present invention is to overcome the problem of insufficient integrity of historical data in the existing technology, which is difficult to support the simulation of complex simulation scenarios in the future, and the poor connectivity between operation control and simulation tools leading to inaccurate simulation results.

[0009] To solve the above technical problems, the present invention provides a distributed resource operation control simulation integrated system for a new type of power distribution system, comprising:

[0010] A control service control is used to connect to multiple monitoring devices in the distribution network, receive and process the operating data of the multiple monitoring devices in real time, and obtain the operating status parameters of the distribution network;

[0011] A simulation service control, used for the operating state parameters, simulates the distribution network, and obtains grid load analysis, power quality assessment, and power loss calculation results based on the simulation results;

[0012] A topology service device is configured to draw a simulation topology diagram based on the regulation service control and the simulation service control, using the monitoring devices in the distribution network as nodes, the operating status, connection relationship, and operating parameters of the monitoring devices as node attributes, and the connection relationship between the monitoring devices as edges, and to dynamically adjust the simulation topology diagram according to changes in the structure of the distribution network;

[0013] A topology control service device is used to switch, isolate or merge various monitoring devices in the distribution network and adjust the structural configuration and parameter configuration of the simulation topology diagram by using the various simulation scenario algorithms integrated in the simulation service control;

[0014] A topology adjustment service device is used to receive monitoring data of each node in the simulation topology diagram, obtain current operating status parameters of the distribution network, perform load forecasting and voltage status analysis on the simulation topology diagram based on the current operating status parameters, and automatically generate a topology adjustment strategy.

[0015] In one embodiment of the present invention, the simulation service control carries a simulation model carrier and a simulation calculation carrier; wherein, the simulation model carrier includes a modeling engine, and the topology service device uses the modeling engine to draw a simulation topology diagram of the distribution network.

[0016] In one embodiment of the present invention, the simulation calculation carrier includes an algorithm engine, and the topology control service device calculates the capacity and load level of the active load transmitted in the distribution network through the algorithm engine, evaluates the reactive load level of the compensation circuit and power supply in the distribution network, combines historical data and real-time monitoring data, predicts and prevents risks of the distribution network in future time periods, evaluates multi-dimensional indicators based on distributed resource access in the distribution network, and guides the reasonable access and scheduling of distributed resources.

[0017] In one embodiment of the present invention, the algorithm engine is configured to carry an active power algorithm, an active power algorithm, a risk prevention algorithm, a carrying capacity assessment algorithm, and a fault diagnosis simulation algorithm.

[0018] In one embodiment of the present invention, the topology control service device includes a risk prevention controller, a grid verification controller, a bearing capacity assessment controller and a fault diagnosis controller; wherein, the risk prevention controller is used to collect and analyze various monitoring data in the distribution network, and compare them with historical data and models, and identify fault risks or abnormal conditions through the risk prevention algorithm, and obtain risk response plans based on the fault risks or abnormal conditions.

[0019] In one embodiment of the present invention, the grid verification controller is used to analyze and calculate the simulation topology diagram, equipment parameters and circuit connectivity, determine whether the connection and ratio are reasonable, and analyze whether its load-bearing capacity meets the power load demand.

[0020] In one embodiment of the present invention, the carrying capacity assessment controller is used to analyze the real-time monitoring data of the distribution network, calculate the load conditions and potential bottleneck locations of the power grid through the carrying capacity assessment algorithm, and determine the maximum capacity of the distributed power source.

[0021] In one embodiment of the present invention, the fault diagnosis controller is used to analyze the real-time monitoring data and historical data of the power system. When an abnormality occurs in the power grid, the abnormal signal is automatically detected, and the fault is preliminarily diagnosed using the fault diagnosis simulation algorithm. Combined with the simulation topology diagram and equipment status information, the type and location of the fault are predicted, and a fault report is generated.

[0022] In one embodiment of the present invention, the topology regulation service device includes an active power regulation group and a reactive power regulation group; wherein, the active power regulation group is used to set the active power regulation status in the simulation topology structure diagram, identify the real-time power consumption of each load point through historical data, real-time data or system feedback, perform load forecasting based on data and algorithm models, and perform on / off and load increase / decrease operations on key equipment in the simulation topology structure diagram.

[0023] In one embodiment of the present invention, the reactive power regulation group is used to set the grid control and regulation reactive device in the simulation topology diagram, and by analyzing the voltage state and reactive power situation in the simulation topology diagram, use algorithms and strategies to control the distribution and output of reactive power, and generate and execute corresponding control strategies based on the calculation results.

[0024] The above technical solution of the present invention has the following advantages over the prior art:

[0025] This paper proposes an integrated distributed resource operation, control, and simulation system for novel power distribution systems. This system combines distributed resource operation and control with distribution network simulation to address issues such as data exchange and model fusion. This method effectively controls and simulates distributed resources in novel power distribution systems, enabling real-time monitoring, status assessment, optimized control, and risk prediction of distributed resources to assess future distribution network operation simulation scenarios. Simultaneously, it simulates and analyzes key issues such as distributed resource access strategies and distribution network system planning, helping to optimize system design and decision-making, and improving the reliability, stability, and cost-effectiveness of the distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments of the present invention in conjunction with the accompanying drawings, wherein

[0027] Figure 1 It is a structural diagram of a distributed resource operation control simulation integrated system for a new power distribution system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.

[0029] Reference Figure 1 As shown, the present invention provides a distributed resource operation control simulation integrated system for a new power distribution system, including the following module configurations:

[0030] A control service control is used to connect to multiple monitoring devices in the distribution network, receive and process the operating data of the multiple monitoring devices in real time, and obtain the operating status parameters of the distribution network;

[0031] A simulation service control, used for the operating state parameters, simulates the distribution network, and obtains grid load analysis, power quality assessment, and power loss calculation results based on the simulation results;

[0032] A topology service device is configured to draw a simulation topology diagram based on the regulation service control and the simulation service control, using the monitoring devices in the distribution network as nodes, the operating status, connection relationship, and operating parameters of the monitoring devices as node attributes, and the connection relationship between the monitoring devices as edges, and to dynamically adjust the simulation topology diagram according to changes in the structure of the distribution network;

[0033] A topology control service device is used to switch, isolate or merge various monitoring devices in the distribution network and adjust the structural configuration and parameter configuration of the simulation topology diagram by using the various simulation scenario algorithms integrated in the simulation service control;

[0034] A topology adjustment service device is used to receive monitoring data of each node in the simulation topology diagram, obtain current operating status parameters of the distribution network, perform load forecasting and voltage status analysis on the simulation topology diagram based on the current operating status parameters, and automatically generate a topology adjustment strategy.

[0035] From the above technical solutions, it can be seen that the present invention realizes the combination of distributed resource regulation and distribution network simulation, real-time monitoring and status evaluation of distributed resources, improves the reliability and safety of the distribution system, reduces the occurrence rate of faults and power outages, and at the same time performs fine regulation of distributed resources, improves energy utilization, reduces energy loss, and helps to build a reliable, efficient, safe and environmentally friendly distribution system.

[0036] Specifically, the regulation service control, serving as a base service control for the topology regulation service device, topology control service device, and topology service device, is used to link monitoring equipment in the distribution network with the grid topology, receive and process real-time data such as voltage, current, and power. It diagnoses faults in the grid and generates corresponding alarm information. By analyzing and processing this data, it can monitor the operating status of the distribution network in real time and provide power regulation and optimization solutions based on information such as grid load and demand forecasts, simulating real-time adjustments to the grid's operating status.

[0037] Furthermore, the simulation service control carries a simulation model carrier and a simulation calculation carrier. By simulating the power system, it simulates the behavior of the power system under various operating conditions, including voltage, current, and power flow. Based on the simulation results, grid load analysis, power quality assessment, and power loss calculation are performed.

[0038] The simulation model carrier includes a modeling engine, which is based on the relationships and characteristics between various components of the power system and contains information such as various parameters, electrical characteristics, control logic, etc., such as generators, transmission lines, transformers, switches and loads.

[0039] The topology service device calls the operating status parameters of the distribution network calculated by the regulation service control through the modeling engine, analyzes and deduces through mathematical models and algorithms, simulates and simulates the actual power system, and draws the final simulation topology diagram of the distribution network.

[0040] The simulation calculation carrier includes an algorithm engine, a calculation mapping of the power system grid model to the power grid topology, a static calculation analysis of the voltage, current, power and other parameters of the power system in a steady state, and a dynamic calculation algorithm to simulate the behavior of the power system in a changing state.

[0041] The topology control service device calculates the capacity and load level of the active load transmitted in the distribution network through the algorithm engine, evaluates the reactive load level of the compensation circuit and power supply in the distribution network, combines historical data and real-time monitoring data, predicts and prevents possible risks in the future of the distribution network, evaluates multi-dimensional indicators based on distributed resource access in the distribution network, and guides the reasonable access and scheduling of distributed resources.

[0042] In this embodiment, the algorithm engine is configured to carry an active power algorithm, an active power algorithm, a risk prevention algorithm, a distributed power access capacity assessment algorithm, and a fault diagnosis simulation algorithm. The algorithm engine calculates the capacity and load level of active loads transmitted in the distribution network, evaluates the reactive load level of the compensation circuit and power supply in the distribution network, combines historical data with real-time monitoring data, and uses risk measurement and risk control methods to predict and prevent future risks in the distribution network. It also evaluates multi-dimensional indicators based on distributed resource access in the distribution network, guides the reasonable access and scheduling of distributed resources, and performs fault simulation and simulation calculations based on information such as the distribution network topology and power devices.

[0043] Furthermore, the topology control service device can intelligently switch, isolate or merge cables, switches, transformers and other equipment in the distribution network according to factors such as grid load level, power supply and demand balance, faults and maintenance requirements, and adjust the topology structure and configuration of the distribution network to achieve reasonable distribution and flow of electricity.

[0044] The topology control service device specifically includes: a risk prevention controller, a grid verification controller, a bearing capacity assessment controller and a fault diagnosis controller.

[0045] Among them, the risk prevention controller is used to collect and analyze various monitoring data in the distribution network, including current, voltage, power, frequency, etc., and compare them with historical data and models. Through the risk prevention algorithm, it identifies potential failure risks or abnormal conditions, provides risk response plans, and automatically takes corresponding control measures to provide early warning and prevention of potential failures.

[0046] The grid verification controller is used to verify and evaluate whether the structure and configuration of the distribution network meet the design requirements and specifications. By analyzing and calculating the simulated topology diagram, equipment parameters and circuit connectivity, and inspecting key equipment such as lines, switches and transformers in the distribution network, it determines whether the connection and ratio are reasonable, and analyzes whether its load capacity meets the power load demand. Using algorithms and models, it calculates and simulates key indicators such as current, power, short circuit, and voltage drop.

[0047] The capacity assessment controller is used to evaluate the distribution network's ability to accommodate distributed power sources. By analyzing real-time monitoring data from the distribution network, such as current, voltage, and load, the capacity assessment algorithm calculates the grid's load and potential bottleneck locations. It then comprehensively considers factors such as the grid's power balance, stability, and voltage levels, and references national regulations and standards to determine the maximum capacity for accommodating distributed power sources.

[0048] The fault diagnosis controller analyzes the power system's real-time monitoring and historical data to quickly identify and locate distribution network faults. It also uses models and algorithms to monitor and analyze key parameters such as current, voltage, and power in real time, comparing them with pre-set grid status. When a grid anomaly occurs, the controller automatically detects the abnormal signal and uses the fault diagnosis simulation algorithm to perform a preliminary diagnosis of the fault. Combining the simulated topology diagram with device status information, the controller predicts the fault type and location, generating a fault report that includes, but is not limited to, the fault type, location, and potential impact range.

[0049] Furthermore, the topology adjustment service device is used to adjust and optimize the distribution network topology. The topology adjustment service device receives distribution network topology data and monitors and analyzes key parameters such as power sources, loads, and lines. It identifies problems such as faults, load imbalances, and line overloads in the power grid. It monitors the grid status, analyzes the load, power source, and line conditions of the distribution network, executes active power adjustment group instructions or reactive power adjustment group instructions, and automatically generates topology adjustment strategies by adjusting line connection status and switchgear operation. These strategies may include operations such as changing line connection status, opening and closing switchgear, and adjusting power distribution to optimize the power grid topology and achieve flexible adjustment of the distribution network topology.

[0050] The topology regulation service device includes an active power regulation group and a reactive power regulation group. The active power regulation group is used to set the active power regulation status in the simulation topology diagram, identify the real-time power consumption of each load point through historical data, real-time data, or system feedback, perform load forecasting based on data and algorithm models, and perform on / off and load increase / decrease operations on key devices in the simulation topology diagram to achieve the preset active power regulation target.

[0051] In the case of active power regulation, the control variable is set to the active power of the distributed generation, the objective function is the penalty function of the equipment current carrying capacity overload rate; the constraints are Kirchhoff current constraint and Kirchhoff voltage constraint:

[0052]

[0053] Where x gp is the control variable of the active power of the distributed generation, P j g is the active power of the jth distributed power source, n4 is the number of distributed power sources; f4 is the objective function of equipment safety, c p is the penalty constant, the default value is 1000000; l i r (x gp ) is the load rate of distribution network equipment i, which includes lines, transformers, switches, voltage regulators, etc., with a total number of n2.

[0054] The reactive power regulation group is used to set up the grid control and reactive power regulation devices in the simulation topology diagram. By analyzing the voltage state and reactive power conditions in the simulation topology diagram, algorithms and strategies are used to control the distribution and output of reactive power, thereby maintaining the stable operation of the grid. Based on the calculation results, corresponding control strategies are generated and executed to adjust the operating status and power output of connected devices (such as capacitors and reactive power compensation devices) in the topology grid, achieving intelligent regulation.

[0055] In the case of reactive power regulation, the control variables are set as the reactive power of the reactive compensation device and the reactive power of the distributed generation, and the objective function is the network loss:

[0056]

[0057] Where x q is the control variable of the reactive power of distributed power supply and compensation device, Q j is the reactive power of the jth distributed power source or reactive compensation device, n5 is the total number of distributed power sources and reactive compensation devices; f5 is the objective function of network loss, V i (x q ) is the node voltage matrix of distribution network equipment i, and its value can be based on the control variable x q Calculated by power flow calculation, Y i is the node admittance matrix of distribution network equipment i; the superscripts T and * denote transpose and conjugate, respectively.

[0058] The equation constraints in the constraint conditions include Kirchhoff current constraint and Kirchhoff voltage constraint. The inequality constraints include equipment capacity limit, reactive power compensation device output limit, and distributed power reactive power constraint. The expression of distributed power reactive power constraint is:

[0059] |Q g |≤P g tanθ

[0060] Where Q g is the reactive power of distributed generation, P g is the active power of the distributed power source, and θ is the power angle corresponding to the minimum power factor of the distributed power source.

[0061] In summary, the distributed resource operation and control simulation integrated system for the new distribution system provided by the present invention can monitor the operating status of distributed resources in real time, including key parameters such as temperature, wind power, humidity, load, etc., and accurately evaluate these parameters through advanced algorithms, providing a reliable basis for subsequent optimization control and risk prediction, and automatically adjusting the control strategy according to environmental changes and system requirements, supporting simulation analysis of key issues such as distributed resource access strategy and distribution network system planning; by simulating the system operation status under different scenarios, the system can provide decision makers with comprehensive data analysis and evaluation reports to help optimize system design and decision making; it can not only improve the utilization efficiency of distributed resources, but also provide strong support for the sustainable development of the power system.

[0062] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0063] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0064] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0065] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0066] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A distributed resource operation and control simulation integrated system for new power distribution systems, characterized by: include: A control service control is used to connect to multiple monitoring devices in the distribution network, receive and process the operating data of the multiple monitoring devices in real time, and obtain the operating status parameters of the distribution network; A simulation service control, used for the operating state parameters, simulates the distribution network, and obtains grid load analysis, power quality assessment, and power loss calculation results based on the simulation results; A topology service device is configured to draw a simulation topology diagram based on the regulation service control and the simulation service control, using the monitoring devices in the distribution network as nodes, the operating status, connection relationship, and operating parameters of the monitoring devices as node attributes, and the connection relationship between the monitoring devices as edges, and to dynamically adjust the simulation topology diagram according to changes in the structure of the distribution network; A topology control service device is used to switch, isolate or merge various monitoring devices in the distribution network and adjust the structural configuration and parameter configuration of the simulation topology diagram by using the various simulation scenario algorithms integrated in the simulation service control; A topology adjustment service device is used to receive monitoring data of each node in the simulation topology structure diagram, obtain current operating status parameters of the distribution network, perform load forecasting and voltage status analysis on the simulation topology structure diagram based on the current operating status parameters, and automatically generate a topology adjustment strategy; The simulation service control carries a simulation model carrier and a simulation calculation carrier; the simulation model carrier includes a modeling engine, and the topology service device uses the modeling engine to draw a simulation topology diagram of the distribution network; The simulation computing carrier includes an algorithm engine, and the topology control service device calculates the capacity and load level of the active load transmitted in the distribution network through the algorithm engine, evaluates the reactive load level of the compensation circuit and power supply in the distribution network, combines historical data and real-time monitoring data, predicts and prevents risks in the distribution network in the future time period, evaluates multi-dimensional indicators based on distributed resource access in the distribution network, and guides the reasonable access and scheduling of distributed resources; The algorithm engine is configured to carry an active power algorithm, an active power algorithm, a risk prevention algorithm, a carrying capacity assessment algorithm, and a fault diagnosis simulation algorithm.

2. The distributed resource operation control simulation integrated system for a new power distribution system according to claim 1 is characterized by: The topology control service device includes a risk prevention controller, a grid verification controller, a bearing capacity assessment controller and a fault diagnosis controller; wherein the risk prevention controller is used to collect and analyze various monitoring data in the distribution network, and compare them with historical data and models, identify fault risks or abnormal conditions through the risk prevention algorithm, and obtain risk response plans based on the fault risks or abnormal conditions.

3. The integrated distributed resource operation control simulation system for a new power distribution system according to claim 2 is characterized by: The grid verification controller is used to analyze and calculate the simulation topology diagram, equipment parameters and circuit connectivity, determine whether the connection and ratio are reasonable, and analyze whether its load-bearing capacity meets the power load demand.

4. The integrated distributed resource operation control simulation system for a new power distribution system according to claim 2 is characterized in that: The carrying capacity assessment controller is used to analyze the real-time monitoring data of the distribution network, calculate the load situation and potential bottleneck location of the power grid through the carrying capacity assessment algorithm, and determine the maximum capacity of the distributed power supply.

5. The integrated distributed resource operation control simulation system for a new power distribution system according to claim 2 is characterized in that: The fault diagnosis controller is used to analyze the real-time monitoring data and historical data of the power system. When an abnormality occurs in the power grid, it automatically detects the abnormal signal and uses the fault diagnosis simulation algorithm to perform a preliminary diagnosis of the fault. Combined with the simulation topology diagram and equipment status information, it predicts the type and location of the fault and generates a fault report.

6. The integrated distributed resource operation control simulation system for a new power distribution system according to claim 1 is characterized by: The topology regulation service device includes an active power regulation group and a reactive power regulation group; wherein, the active power regulation group is used to set the active power regulation status in the simulation topology diagram, identify the real-time power consumption of each load point through historical data, real-time data or system feedback, perform load forecasting based on data and algorithm models, and perform on / off and load increase / decrease operations on key equipment in the simulation topology diagram.

7. The integrated distributed resource operation control simulation system for a new power distribution system according to claim 6 is characterized in that: The reactive power regulation group is used to set the power grid control and regulation reactive device in the simulation topology diagram, analyze the voltage state and reactive power situation in the simulation topology diagram, use algorithms and strategies to control the distribution and output of reactive power, and generate and execute corresponding control strategies based on the calculation results.

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