Power grid modeling simulation system and method

Abstract

The invention provides a power grid modeling simulation system and method, and relates to the technical field of power systems. The system comprises a power grid topological structure modeling unit used for constructing a topological structure model of a power grid according to parameter information of power grid components in the power grid; the topological structure model is used for indicating a connection relationship and layout information between power grid components in the power grid; the dynamic behavior simulation unit is used for simulating the dynamic behavior of the power grid based on the topological structure model and the operation influence parameters to obtain simulation information; the state evaluation unit is used for monitoring and evaluating the state of the power grid according to the topological structure model and the simulation information to obtain state evaluation information; and the decision support unit is used for generating optimization decision information of the power grid based on the simulation information and the state evaluation information. According to the invention, high-precision simulation and optimal scheduling of the complex operation condition of the power grid are realized, and the safety and stability of the power grid are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, and in particular to a power grid modeling simulation system and method. BACKGROUND

[0002] With the increasing demand for electricity and the increasing promotion of renewable energy, the structure and operation mode of the power system have undergone profound changes. The traditional power system operation mode has been difficult to adapt to the needs of modern power systems, and the complexity and operation risk of the power grid, as an important part of the power system, have gradually increased. In order to better cope with these challenges, power grid modeling technology has emerged. Power grid modeling builds mathematical models and simulation systems to simulate and analyze the state, operation effect and potential risks of the power grid, providing a scientific basis for the planning, operation and management of the power grid.

[0003] At present, the existing power grid modeling methods are mostly focused on static characteristics, mainly by decoupling different time scale problems of the power system, constructing simple mathematical models and solving by numerical integration. However, this method using simple mathematical models is difficult to reflect the actual changes of the power grid operation state in power grid modeling simulation, and cannot effectively cope with complex situations in power grid operation, resulting in poor simulation accuracy, and further affecting the stability and safety of the power grid. SUMMARY

[0004] The power grid modeling simulation system and method provided by the embodiments of the present application are used to solve the problem that the existing method cannot effectively cope with complex situations in power grid operation, resulting in poor simulation accuracy, and further affecting the stability and safety of the power grid.

[0005] In a first aspect, the embodiments of the present application provide a power grid modeling simulation system, comprising:

[0006] A power grid topology structure modeling unit is configured to construct a topology structure model of the power grid according to parameter information of power grid components in the power grid; the topology structure model is used to indicate the connection relationship and layout information between the power grid components in the power grid;

[0007] A dynamic behavior simulation unit is configured to simulate the dynamic behavior of the power grid based on the topology structure model and the operation influence parameters to obtain simulation information;

[0008] A state assessment unit is configured to perform state monitoring and assessment on the power grid according to the topology structure model and the simulation information to obtain state assessment information;

[0009] A decision support unit is configured to generate optimization decision information of the power grid based on the simulation information and the state assessment information.

[0010] In a possible implementation, the power grid topology modeling unit comprises a line modeling module, a substation modeling module, a device modeling module, and a network connection module; the line modeling module is configured to construct a line topology structure according to first parameter information of transmission lines in the power grid; the substation modeling module is configured to construct a substation topology structure according to second parameter information of substations in the power grid; the device modeling module is configured to construct a device topology structure according to third parameter information of power devices in the power grid; and the network connection module is configured to obtain a topology structure model of the power grid according to the line topology structure, the substation topology structure, and the device topology structure; wherein the power grid components include the transmission lines, the substations, and the power devices, and the parameter information includes the first parameter information, the second parameter information, and the third parameter information.

[0011] In a possible implementation, the dynamic behavior simulation unit comprises a load simulation module, a generator simulation module, and a wind-solar simulation module; the load simulation module is configured to simulate changes of loads in the power grid based on the topology structure model and first operation influence parameters to obtain first simulation information, the first operation influence parameters including types of the loads and demand change parameters; the generator simulation module is configured to simulate changes of generators in the power grid based on the topology structure model and second operation influence parameters to obtain second simulation information, the second operation influence parameters including operation parameters of the generators; and the wind-solar simulation module is configured to simulate changes of wind-solar power generation devices in the power grid based on the topology structure model and third operation influence parameters to obtain third simulation information, the third operation influence parameters including wind speed parameters and / or illumination parameters; wherein the operation influence parameters include the first operation influence parameters, the second operation influence parameters, and the third operation influence parameters, and the simulation information includes the first simulation information, the second simulation information, and the third simulation information.

[0012] In a possible implementation, the dynamic behavior simulation unit further comprises a fluctuation simulation module; the fluctuation simulation module is configured to simulate fluctuation of the power grid operation based on the topology structure model and fourth operation influence parameters to obtain fourth simulation information, the fourth operation influence parameters including real-time frequency and voltage fluctuation data of the power grid; wherein the operation influence parameters include the first operation influence parameters, the second operation influence parameters, the third operation influence parameters, and the fourth operation influence parameters, and the simulation information includes the first simulation information, the second simulation information, the third simulation information, and the fourth simulation information.

[0013] In a possible implementation, the state evaluation unit comprises a state monitoring module, a power balance module, and a safety evaluation module; the state monitoring module is configured to perform state monitoring on the power grid according to the simulation information to obtain a current operation state; the power balance module is configured to determine power balance evaluation information of the power grid according to load simulation data, generator simulation data in the simulation information, and the current operation state; the safety evaluation module is configured to evaluate the safety of the power grid according to the model parameters of the topology structure model and the simulation information to obtain safety evaluation information; and the state evaluation information comprises the current operation state, the power balance evaluation information, and the safety evaluation information.

[0014] In a possible implementation, the decision support unit comprises a dispatching suggestion module and an optimization scheme generation module; the dispatching suggestion module is configured to generate power supply dispatching suggestion information of the power grid based on the simulation information and the state evaluation information, the power supply dispatching suggestion information being suggestion information for optimizing generator output, load adjustment, and energy storage utilization in the power grid; and the optimization scheme generation module is configured to generate a target optimization dispatching scheme according to the power supply dispatching suggestion information, the simulation information, and the state evaluation information; and the optimization decision information comprises the power supply dispatching suggestion information and the target optimization dispatching scheme.

[0015] In a possible implementation, the decision support unit further comprises a risk analysis module; the risk analysis module is configured to analyze abnormal conditions in the power grid based on the power balance evaluation information and the safety evaluation information in the state evaluation information to obtain abnormal analysis result information; and the optimization decision information comprises the power supply dispatching suggestion information, the target optimization dispatching scheme, and the abnormal analysis result information.

[0016] In a possible implementation, the power grid modeling and simulation system further comprises a user interaction unit; the user interaction unit is configured to receive and send optimization target information to the decision support unit, the optimization target information representing a priority or an optimization direction of power grid operation dispatching; accordingly, the decision support unit is further configured to generate optimization decision information of the power grid based on the optimization target information, the simulation information, and the state evaluation information; the user interaction unit is further configured to receive and display model information corresponding to the topology structure model sent by the power grid topology structure modeling unit, the simulation information sent by the dynamic behavior simulation unit, the state evaluation information sent by the state evaluation unit, and the optimization decision information sent by the decision support unit; and the user interaction unit is further configured to receive and manage feedback opinions on the power grid modeling and simulation system.

[0017] In a possible implementation, the user interaction unit comprises a data visualization module, an operation interface module, and a user feedback module; the data visualization module is configured to display simulation information, state assessment information, optimization decision information, and model information corresponding to the topology model in the power grid modeling simulation system to the user; the operation interface module is configured to receive optimization target information and send the optimization target information to the decision support unit; and the user feedback module is configured to receive and manage feedback opinions on the power grid modeling simulation system.

[0018] In a second aspect, the embodiments of the present application provide a power grid modeling simulation method, applied to the power grid modeling simulation system as described in the first aspect and / or various possible implementation manners of the first aspect, the method comprising:

[0019] obtaining an operation impact parameter in the power grid;

[0020] simulating a dynamic behavior of the power grid based on the topology model and the operation impact parameter to obtain simulation information, the topology model being used to indicate connection relationships and layout information among power grid components in the power grid, wherein the topology model is constructed according to parameter information of the power grid components in the power grid;

[0021] performing state monitoring and assessment on the power grid according to the topology model and the simulation information to obtain state assessment information;

[0022] generating optimization decision information of the power grid based on the simulation information and the state assessment information.

[0023] In a third aspect, the embodiments of the present application provide an electronic device, comprising a memory and a processor.

[0024] The memory stores computer execution instructions.

[0025] The processor executes the computer execution instructions stored in the memory, so that the processor performs the second aspect and / or various possible implementation manners of the second aspect.

[0026] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, the computer readable storage medium storing computer execution instructions, the computer execution instructions being executed to implement the second aspect and / or various possible implementation manners of the second aspect.

[0027] In a fifth aspect, the embodiments of the present application provide a computer program product, comprising a computer program, the computer program being executed to implement the second aspect and / or various possible implementation manners of the second aspect.

[0028] The power grid modeling simulation system and method provided by the embodiment of the application, the system comprises a power grid topology structure modeling unit, which is used for constructing a topology structure model of a power grid according to parameter information of power grid components in the power grid; the topology structure model is used for indicating connection relationships and layout information among the power grid components in the power grid; a dynamic behavior simulation unit is used for simulating a dynamic behavior of the power grid based on the topology structure model and operation influence parameters to obtain simulation information; a state assessment unit is used for monitoring and assessing a state of the power grid according to the topology structure model and the simulation information to obtain state assessment information; and a decision support unit is used for generating optimization decision information of the power grid based on the simulation information and the state assessment information. Through the power grid modeling and dynamic simulation system architecture of multi-module cooperation, the information obtained by the dynamic behavior simulation unit and the state assessment unit, and the closed-loop management from the power grid state monitoring to the optimization decision realized by the decision support unit, the dynamic behavior of the power grid can be simulated in real time, the state of the power grid can be assessed, and the optimization decision information can be generated based on the assessment information and the information of the dynamic simulation, so that scientific decision support is provided, high-precision simulation and optimization scheduling of complex operation conditions of the power grid are realized, and the safety and stability of the power grid are improved. BRIEF DESCRIPTION OF DRAWINGS

[0029] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application.

[0030] Figure 1 A structural schematic diagram of a power grid modeling simulation system provided by the application;

[0031] Figure 2 A structural schematic diagram of a power grid topology structure modeling unit provided by the application;

[0032] Figure 3 A structural schematic diagram of a dynamic behavior simulation unit provided by the application;

[0033] Figure 4 A structural schematic diagram of a state assessment unit provided by the application;

[0034] Figure 5 A structural schematic diagram of a decision support unit provided by the application;

[0035] Figure 6 A structural schematic diagram of a user interaction unit provided by the application;

[0036] Figure 7 A specific structural schematic diagram of a power grid modeling simulation system provided by the application;

[0037] Figure 8 A flow schematic diagram of a power grid modeling simulation method provided by the application;

[0038] Figure 9 A structural schematic diagram of an electronic device provided in the present application is shown.

[0039] The specific embodiments of the present application have been shown and described in the above-described drawings, and will be described in more detail hereinafter. These drawings and written description are not intended to restrict the scope of the present application concept in any way, but to illustrate the present application concept to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0040] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings in which like reference numerals refer to like elements, and the term "exemplary" is used herein to mean "serving as an example, instance, or illustration." The following description is not intended to limit the scope of the present application concept in any way, but rather to provide an example of how the present application concept can be implemented. The following description includes specific details for the purpose of providing a thorough understanding of the present application concept. However, it will be apparent to those skilled in the art that the present application concept can be practiced without these specific details.

[0041] As the core infrastructure of energy supply in modern society, the power system covers multiple links such as power generation, transmission, transformation, distribution, and consumption. Its efficient and stable operation is crucial for social and economic development. As the core component of the power system, the power grid is mainly responsible for power transmission and distribution, and is the key link connecting the power generation end and the user end. With the increasing demand for electricity and the increasing promotion of renewable energy, the structure and operating characteristics of the power grid have become more complex, and the operating risk has also increased significantly. In order to better cope with these challenges, power grid modeling technology has emerged. However, the existing power grid modeling methods mainly focus on static characteristics, and lack comprehensive consideration of dynamic characteristics. Moreover, the modeling of the power grid usually relies on fixed mathematical models, which cannot adapt to the complex situations that occur in the actual operation of the power grid, resulting in poor simulation accuracy and affecting the stability and safety of the power grid. In addition, with the large-scale access of renewable energy, traditional power grid modeling and dispatching methods are difficult to cope with the randomness and uncertainty of renewable energy, which can easily lead to unstable operation of the power grid and even failure.

[0042] To solve the above problems, the embodiment of the application provides a power grid modeling simulation system and method. The system is based on a power grid modeling and dynamic simulation system architecture with multi-module cooperation. A topology structure model is constructed by using a power grid topology structure modeling unit, and the connection relationship and layout information between components are determined, thereby laying a foundation for subsequent dynamic behavior simulation and state assessment. On this basis, a dynamic behavior simulation unit simulates the dynamic behavior of the power grid in combination with operation influence parameters, so as to reflect the behavior change of the power grid under different operation conditions, realize real-time simulation of the dynamic response of the power grid, and overcome the defect that static analysis cannot predict transient problems. A state assessment unit is used for state monitoring and assessment of the power grid, and accurate state assessment information is obtained. An decision support unit is used for generating optimization decision information of the power grid, thereby realizing closed-loop management from power grid state monitoring to optimization decision. The system can simulate the dynamic behavior of the power grid in real time, assess the state of the power grid, and generate optimization decision information based on the assessment information and dynamic simulation information, so as to provide scientific decision support, realize high-precision simulation and optimization scheduling of complex operation conditions of the power grid, and improve the safety and stability of the power grid.

[0043] The technical solutions of the application and how the technical solutions solve the above technical problems will be described in detail in specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. The embodiments of the application will be described below with reference to the drawings.

[0044] Figure 1 A flowchart of a power grid modeling simulation system provided by the application is shown in FIG. 1. The system can include: Figure 1

[0045] A power grid topology structure modeling unit 10 is configured to construct a topology structure model of the power grid according to parameter information of power grid components in the power grid. The topology structure model is used to indicate the connection relationship and layout information between the power grid components in the power grid.

[0046] A dynamic behavior simulation unit 20 is configured to simulate the dynamic behavior of the power grid based on the topology structure model and operation influence parameters, and obtain simulation information.

[0047] A state assessment unit 30 is configured to monitor and assess the state of the power grid according to the topology structure model and the simulation information, and obtain state assessment information.

[0048] A decision support unit 40 is configured to generate optimization decision information of the power grid based on the simulation information and the state assessment information.

[0049] ​In this embodiment, it can be understood that the grid component can refer to the physical basis of the power system, which is responsible for the transmission, distribution and conversion of electric energy, such as various transmission lines, substations and power equipment in the power grid. The parameter information of the grid component can be derived from the actual parameter data of the power grid. For example, the physical parameters of the component, such as the length, resistance, reactance, capacitance, etc. of the transmission line, the topological information of the component, such as the component connection relationship and layout information, the functional characteristics of the component, such as the location and function of the substation, and the component capacity and operating characteristics, such as the rated capacity and transformation ratio of equipment such as transformers and switches. Optionally, this parameter information can be directly obtained from the power system through a real-time communication interface, such as the power system's SCADA (supervisory control and data acquisition system), GIS (geographic information system), EMS (energy management system) or technical specifications provided by the equipment manufacturer; some static parameters (such as conductor material, equipment capacity) can also be manually entered or imported from a historical database.

[0050] Operational influencing parameters may refer to load changes, generator output, wind speed, sunlight, etc. These parameters affect the dynamic behavior of the power grid and are usually derived from real-time monitoring data or historical data. For example, they are obtained through real-time sensors (such as smart meters). If real-time data is missing, they are obtained through historical data or prediction models (such as load forecasting and wind and solar power generation forecasting).

[0051] The dynamic behavior of a power grid refers to the operating status and parameter changes of equipment such as loads, generators, and wind and photovoltaic power generation, as well as any oscillations during grid operation. This is used to assess the grid's responsiveness and stability under different operating conditions. Simulation information, such as time series data of electrical quantities like voltage, current, and power, is obtained by simulating the dynamic behavior of the grid.

[0052] Evaluating the operational status of a power grid can refer to monitoring changes in voltage, current, and frequency parameters at each node in the grid, assessing the power balance of the grid, evaluating the security of the grid, and predicting and diagnosing potential risks and faults. Status assessment information can refer to information obtained after the assessment regarding the stability, security, and economic efficiency of the grid, such as the current operational status of the grid, the results of the grid power balance assessment, and the results of the security assessment. A node can refer to a specific location or connection point in the grid. In grid modeling, a node can be represented by a number or identifier, and each node has corresponding electrical parameters such as voltage and current.

[0053] The optimization decision information can refer to information for guiding the optimal operation of the power grid, such as generator output adjustment suggestions, load management strategies, risk analysis reports and suggestions, and the like, to provide scientific and reliable dispatching suggestions and optimization schemes for power dispatch personnel, so as to improve the economy, safety and stability of the power grid. This can be based on optimization algorithms and common decision models for model training and information generation.

[0054] In an example, the parameters of the input power grid components (such as line impedance, transformer capacity) are used to construct a node-edge topology relationship graph; the operating parameters (such as load curve, wind speed data) are injected to simulate the behavior of the power grid through differential equations or simulation algorithms (such as power flow calculation); the key indicators (such as voltage deviation, power imbalance) in the simulation results are analyzed to mark abnormal states; and the optimization algorithm (such as linear programming) is called based on the evaluation results to generate a dispatching scheme.

[0055] The power grid modeling and simulation system provided by the embodiments of the present application realizes intelligent management of the whole process from structure modeling to dynamic simulation, state evaluation and optimization decision of the power grid through the collaborative work of the power grid topology structure modeling unit, the dynamic behavior simulation unit, the state evaluation unit and the decision support unit. The system can efficiently construct a power grid topology model, simulate the dynamic behavior of the power grid in real time, evaluate the state of the power grid, and generate optimization decision information based on the evaluation information and the information of dynamic simulation, to provide scientific decision support, realize high-precision simulation and optimization dispatching of complex operating conditions of the power grid, and improve the safety and stability of the power grid.

[0056] Based on the above embodiments, refer to Figure 2 , Figure 2 The power grid topology structure modeling unit provided by the present application is provided with a structural schematic diagram, and the power grid topology structure modeling unit 10 provided by the embodiments can include a line modeling module 101, a substation modeling module 102, a device modeling module 103 and a network connection module 104.

[0057] The line modeling module 101 is configured to construct a line topology structure according to first parameter information of a power transmission line in the power grid.

[0058] The substation modeling module 102 is configured to construct a substation topology structure according to second parameter information of a substation in the power grid.

[0059] The device modeling module 103 is configured to construct a device topology structure according to third parameter information of a power device in the power grid.

[0060] The network connection module 104 is configured to obtain a topology structure model of the power grid according to the line topology structure, the substation topology structure and the device topology structure.

[0061] The power grid components include power transmission lines, substations, and power equipment, and the parameter information includes first parameter information, second parameter information, and third parameter information.

[0062] In this embodiment, it can be understood that the line modeling module is used for detailed modeling of the power transmission lines in the power grid, the first parameter information can include the type, length, impedance, and material parameters of the power transmission lines. The substation modeling module can be used for modeling each substation in the power grid, and the second parameter information can include the location, function of the substation, and the capacity and characteristics of the involved equipment. The device modeling module is used for modeling various devices involved in the power grid, and the third parameter information can include the operating parameters and characteristics of the power equipment.

[0063] The network connection module is used for integrating the connection relationship between each module and forming a complete power grid topology structure, ensuring the interaction and information flow between the components of the power grid, and facilitating subsequent state evaluation and dynamic behavior simulation.

[0064] The functions of the power grid topology structure modeling unit are refined through modular design, including the line modeling module, the substation modeling module, the device modeling module, and the network connection module. This division makes the power grid modeling more refined, can build topology structures for different components such as power transmission lines, substations, and power equipment, and integrate them into a complete power grid model through the network connection module, improving the flexibility and accuracy of modeling, especially suitable for complex power grid scenarios such as multiple voltage levels and multiple energy types.

[0065] Based on the above embodiment, referring to Figure 3 , Figure 3 The dynamic behavior simulation unit provided in this embodiment can include a load simulation module 201, a generator simulation module 202, and a wind and photovoltaic simulation module 203.

[0066] The load simulation module 201 is configured to simulate the changes of the loads in the power grid based on the topology structure model and first operating influence parameters to obtain first simulation information, wherein the first operating influence parameters include the types of the loads and demand change parameters.

[0067] The generator simulation module 202 is configured to simulate the changes of the generators in the power grid based on the topology structure model and second operating influence parameters to obtain second simulation information, wherein the second operating influence parameters include operating parameters of the generators.

[0068] The wind and photovoltaic simulation module 203 is configured to simulate the changes of the wind and photovoltaic power generation equipment in the power grid based on the topology structure model and third operating influence parameters to obtain third simulation information, wherein the third operating influence parameters include wind speed parameters and / or illumination parameters.

[0069] The operation influence parameters include a first operation influence parameter, a second operation influence parameter, and a third operation influence parameter, and the simulation information includes first simulation information, second simulation information, and third simulation information.

[0070] In the embodiment, it can be understood that the load simulation module is used to simulate the change of various types of loads in the power grid to evaluate the stability and reliability of the power grid under different load conditions, and the first operation influence parameter can refer to the use and change of different types of loads, such as the power demand of different scales of household users, commercial users, and industrial users.

[0071] The generator simulation module is used to simulate the output change of different types of generators (such as gas generators, hydroelectric generators, wind power generators, etc.) in the power grid to evaluate the bearing capacity of the power grid to the generator output, and the second operation influence parameter can include operation parameters such as power generation, power factor, and frequency.

[0072] The wind and photovoltaic simulation module is used to simulate the output characteristics of wind power and photovoltaic power generation equipment with respect to space-time changes in order to evaluate the renewable energy access and balancing capacity of the power grid, and the third operation influence parameter can include wind speed and light, or wind speed, or light, or other factors affecting wind and photovoltaic power generation.

[0073] By refining the functions of the dynamic behavior simulation unit, the load change in the power grid, the operation of traditional generators, and the output characteristics of wind and light power generation equipment are simulated respectively, which can more accurately reflect the dynamic behavior of the power grid, especially the volatility and uncertainty after the access of new energy, and provide more reliable data support for power grid dispatching and stability analysis.

[0074] On the basis of the above-mentioned embodiment, the dynamic behavior simulation unit 20 provided in the embodiment can further include an oscillation simulation module 204.

[0075] The oscillation simulation module 204 is configured to simulate the oscillation of the power grid operation based on the topological structure model and fourth operation influence parameters to obtain fourth simulation information, and the fourth operation influence parameters include real-time frequency and voltage fluctuation data of the power grid.

[0076] The operation influence parameters include a first operation influence parameter, a second operation influence parameter, a third operation influence parameter, and a fourth operation influence parameter, and the simulation information includes first simulation information, second simulation information, third simulation information, and fourth simulation information.

[0077] Further, the oscillation simulation module simulates the oscillation or instability phenomenon that may occur in the power grid to evaluate the stability and anti-disturbance ability of the power grid, and provides support for fault diagnosis and dispatching decision.

[0078] By adding the oscillation simulation module, the oscillation of the power grid operation can be simulated based on the real-time frequency and voltage fluctuation data of the power grid, so that the system can capture unstable factors (such as low-frequency oscillation, short-circuit impact, etc.) in the transient process of the power grid, and enhance the comprehensiveness of the dynamic security analysis of the power grid, especially suitable for stability evaluation in the scenario of weak power grid or high proportion of renewable energy access.

[0079] Figure 4 The state evaluation unit provided in the present application is shown in the structural schematic diagram of the state evaluation unit as shown in the accompanying drawings, Figure 4 The state evaluation unit 30 can include a state monitoring module 301, a power balance module 302 and a safety evaluation module 303.

[0080] The state monitoring module 301 is used to monitor the state of the power grid according to the simulation information, and obtain the current operating state.

[0081] The power balance module 302 is used to determine the power balance evaluation information of the power grid according to the load simulation data, the generator simulation data in the simulation information, and the current operating state.

[0082] The safety evaluation module 303 is used to evaluate the safety of the power grid according to the model parameters of the topological structure model and the simulation information, and obtain the safety evaluation information.

[0083] The state evaluation information includes the current operating state, the power balance evaluation information and the safety evaluation information.

[0084] The state monitoring module monitors the changes of voltage, current and frequency state parameters of each node in the power grid, and reflects the operating state of the power grid in real time, so as to discover potential problems in time and take corresponding measures to ensure the stable operation of the power grid.

[0085] The power balance module evaluates the power balance of the power grid, such as supply and demand balance, matching between power production and consumption. For example, by analyzing the power data of each generator and load in the power grid, it is determined whether the power grid is in a stable power balance state, and a decision basis is provided for dispatchers.

[0086] The safety assessment module evaluates the safety of the power grid, which may include flow distribution, overload conditions, and short-circuit analysis to identify potential safety risks. Safety assessment information may refer to information on the voltage stability, frequency stability, thermal stability, and other aspects of the power grid. This information is used to provide corresponding safety measures and recommendations to ensure the safety and reliability of power grid operation. In addition, the safety assessment module can also perform fault simulation and emergency response planning to improve the power grid's ability to respond to and recover from faults. In addition, the input data source of the safety assessment module can be the model parameters and simulation information of the topology model, and can also include basic data such as real-time voltage and current provided by the status monitoring module, as well as power balance assessment information provided by the power balance module, such as supply and demand matching assessment results.

[0087] Through the status monitoring module, power balance module and safety assessment module in the status assessment unit, the grid operation status is monitored in real time, the power balance is assessed, and a comprehensive analysis of the grid security is conducted, thereby providing more comprehensive status assessment information and improving the grid fault early warning capability and operational reliability and safety.

[0088] Based on the above embodiment, see Figure 5 , Figure 5 This is a schematic diagram of the structure of the decision support unit provided in this application. The decision support unit 40 provided in this embodiment may include a scheduling suggestion module 401 and an optimization solution generation module 402;

[0089] The scheduling suggestion module 401 is used to generate power supply scheduling suggestion information for the power grid based on the simulation information and the state assessment information. The power supply scheduling suggestion information is suggestion information for optimizing the generator output, load adjustment, and energy storage utilization in the power grid;

[0090] The optimization scheme generating module 402 is used to generate a target optimization scheduling scheme based on the power supply scheduling suggestion information, simulation information and status assessment information;

[0091] Among them, the optimization decision information includes power supply scheduling recommendation information and target optimization scheduling plan.

[0092] In this embodiment, power supply dispatch recommendation information may refer to recommendations regarding generator output, load adjustment, energy storage utilization, etc. The dispatch recommendation module provides grid dispatchers with recommendations and optimization plans regarding generator output, load adjustment, and energy storage utilization based on the grid's current operating status (obtained from simulation information) and status assessment information. By simulating the impact of different dispatch plans, it helps dispatchers make more reasonable decisions and optimize grid operating efficiency and stability.

[0093] The optimization solution generation module is used to generate the optimal operation plan and scheduling strategy (i.e., the target optimized scheduling solution) based on power supply scheduling recommendations, simulation information, and state assessment information using mathematical models and algorithms. It can also be used to generate the target optimized scheduling solution based on the power supply scheduling recommendations, simulation information, state assessment information, and optimization objectives (such as pre-set optimization directions or recommendations). The optimization solution generation module optimizes and coordinates power grid operations by comprehensively considering multiple factors, including supply and demand balance, cost-effectiveness, and renewable energy utilization. Furthermore, this module can provide a reference for future power grid planning, promoting intelligent and sustainable development. In one example, the module's input data sources include state assessment information (such as voltage, current, and power) from the state assessment unit, simulation information (such as future load and power generation forecasts) from the dynamic behavior simulation unit, and preliminary scheduling recommendations from the scheduling suggestion module. Additionally, it can include risk reports (such as overload and short-circuit analysis) from the risk analysis module.

[0094] The scheduling suggestion module generates recommendations for generator output, load adjustment, and energy storage optimization, while the optimization scheme generation module can formulate a global optimal scheduling scheme based on a multi-objective optimization algorithm, shifting the system's grid scheduling from experience-driven to data-driven, improving the scientific and economical nature of decision-making.

[0095] On the basis of the above embodiment, the decision support unit 40 provided in this embodiment further includes a risk analysis module 403;

[0096] The risk analysis module 403 is used to analyze abnormal conditions in the power grid based on the power balance assessment information and the safety assessment information in the state assessment information, and obtain abnormality analysis result information;

[0097] Among them, the optimization decision information includes power supply scheduling recommendation information, target optimization scheduling plan and abnormal analysis result information.

[0098] Furthermore, the risk analysis module is used to analyze and evaluate potential risks that may exist in the operation of the power grid. Through risk analysis, it can timely warn of potential problems and provide a basis for formulating response plans to ensure the safety and reliability of power grid operation. Abnormal analysis results information can include information such as current overload, short circuit and equipment failure.

[0099] By adding a risk analysis module, it is possible to identify potential abnormal situations in the power grid based on power balance assessment and safety assessment results, and provide risk level classification and abnormality analysis reports, thereby enhancing the active defense capability of the power grid, assisting in the formulation of emergency plans, reducing the risk of large-scale power outages, and improving the reliability of the power grid operating environment.

[0100] Figure 6 A schematic diagram of the structure of the user interaction unit provided in this application, such asFigure 6 The power grid modeling simulation system can further include a user interaction unit 50.

[0101] The user interaction unit 50 is configured to receive and send optimization target information to the decision support unit, the optimization target information representing a priority or optimization direction of power grid operation scheduling.

[0102] Correspondingly, the decision support unit is further configured to generate optimization decision information of the power grid based on the optimization target information, the simulation information, and the state evaluation information.

[0103] The user interaction unit 50 is further configured to receive and display model information corresponding to the topological structure model sent by the power grid topological structure modeling unit, simulation information sent by the dynamic behavior simulation unit, state evaluation information sent by the state evaluation unit, and optimization decision information sent by the decision support unit.

[0104] The user interaction unit 50 is further configured to receive and manage feedback opinions on the power grid modeling simulation system.

[0105] When the system includes the user interaction unit, the optimization target information can be obtained through the user interaction unit, thereby affecting the generation of optimization decision information in the decision support unit, such as user input of optimization target information as economic priority, safety priority, or minimum loss. Further, in the optimization scheme generation module, the target optimization scheduling scheme can be generated according to the power supply scheduling suggestion information, the simulation information, the state evaluation information, and the optimization target information.

[0106] The user interaction unit can realize the interaction between the system and the user, data visualization display, and user feedback management.

[0107] On the basis of the above embodiments, the user interaction unit 50 can include a data visualization module 501, an operation interface module 502, and a user feedback module 503.

[0108] The data visualization module 501 is configured to display simulation information, state evaluation information, optimization decision information, and model information corresponding to the topological structure model in the power grid modeling simulation system to the user.

[0109] The operation interface module 502 is configured to receive and send optimization target information to the decision support unit.

[0110] The user feedback module 503 is configured to receive and manage feedback opinions on the power grid modeling simulation system.

[0111] It needs to be understood that the data visualization module displays complex data and information in the power grid modeling simulation system (such as simulation information, state assessment information, optimization decision information, and model information corresponding to the topology model) to the user in an intuitive way of charts and graphs, helping the user quickly understand and analyze the information of the power grid operation state and energy flow. This module provides real-time monitoring charts, historical data trend charts, power grid topology charts, and other visual displays to help users intuitively understand the actual situation of the power grid.

[0112] The operation interface module provides an interface for the user to operate the system, through which the user can perform parameter setting, data query, instruction execution, and other operations. The operation interface module provides a friendly interactive experience for the user, improves the convenience of user interaction with the power grid modeling simulation system, and realizes the management and control of the power grid. For example, receiving the optimization target information input by the user and sending it to the decision support unit.

[0113] The user feedback module collects and manages the feedback opinions and suggestions of the user on the power grid modeling simulation system. In an example, the user feedback module includes user satisfaction surveys, opinion feedback forms, and other functions, helping system operation and maintenance personnel understand user needs and suggestions, timely improve system functions and performance, and improve user experience and system usability.

[0114] Through the data visualization module and the operation interface module, the user can intuitively view the power grid topology, simulation results, assessment information, and optimization scheme, and can also customize the optimization target, making the system more interactive and adaptable. The user feedback module can also form a closed-loop optimization mechanism to continuously improve system performance, suitable for the needs of power grid management personnel at different levels.

[0115] On the basis of the above embodiments, Figure 7 A specific structural diagram of a power grid modeling simulation system provided by the present application is shown in FIG. 1. Figure 7 As shown in the figure, the power grid modeling simulation system provided by the present embodiment includes a power grid topology structure modeling unit, a dynamic behavior simulation unit, a state assessment unit, a decision support unit, and a user interaction unit.

[0116] The grid topology modeling unit and the dynamic behavior simulation unit maintain real-time data communication. The outputs of the line modeling module, substation modeling module, and equipment modeling module are all connected to the network connection module. The output of the network connection module is connected to the data visualization module. The outputs of the load simulation module, generator simulation module, wind and photovoltaic simulation module, and oscillation simulation module are all connected to the data visualization module. The outputs of the state assessment unit and decision support unit are all connected to the data visualization module. The output of the state monitoring module is connected to the power balancing module. The outputs of the power balancing module and the safety assessment module are all connected to the risk analysis module. The outputs of the state monitoring module, power balancing module, and safety assessment module are all connected to the scheduling suggestion module. The output of the scheduling suggestion module is connected to the optimization solution generation module.

[0117] 1. The grid topology modeling unit is internally provided with a line modeling module, a substation modeling module, a device modeling module and a network connection module.

[0118] Exemplarily, the line modeling module outputs a detailed topology of the transmission line (e.g., including detailed type, length, impedance, etc.) by inputting information such as the actual connection relationships and layout parameters of each component of the power grid. The substation modeling module outputs modeling data for each substation by inputting information about each substation in the power grid (location, function, equipment capacity, etc.), such as creating a substation model to manage the connection relationships between various devices. The goal of substation modeling can be to ensure reasonable connection and transmission between power equipment. The equipment modeling module outputs modeling data for the equipment by inputting parameters and characteristics of various devices involved in the power grid. The network connection module inputs information from the line modeling module, substation modeling module, and equipment modeling module, and outputs an integrated complete power grid topology model.

[0119] 2. The dynamic behavior simulation unit is internally equipped with a load simulation module, a generator simulation module, a wind and photovoltaic simulation module, and an oscillation simulation module.

[0120] For example, the load simulation module inputs the usage and changes of different types of loads in the power grid and outputs simulated data on load changes. This simulated load change typically uses a load forecasting model to generate load demand data in real time. The generator simulation module inputs the operating parameters (power generation, power factor, etc.) of different types of generators in the power grid and outputs simulated data on generator output changes. The wind and photovoltaic simulation module inputs influencing factors such as wind speed and sunlight intensity and outputs data on changes in the output characteristics of wind and photovoltaic power generation systems. This simulates the power generation characteristics of renewable energy, taking into account the randomness and uncertainty of wind and solar power generation to adjust the power generation of the power grid in real time. The oscillation simulation module inputs parameters indicating possible oscillations or instabilities in the power grid and outputs simulation results of these oscillations and instabilities.

[0121] Three, the internal state of the evaluation unit is provided with state monitoring module, power balance module and safety evaluation module.

[0122] For example, the state monitoring module outputs real-time power grid operation state data by inputting voltage, current and frequency state parameters of each node. The power balance module outputs power balance evaluation results by inputting power supply and demand balance information from the state monitoring module. The safety evaluation module outputs safety evaluation results and safety risk identification by inputting power flow distribution, overload condition and short circuit analysis data of the power grid.

[0123] This module ensures the automatic adjustment capability of the power grid under abnormal conditions by analyzing various fault conditions and stability of the power grid, and guarantees the safety of the power grid.

[0124] Four, the internal decision support unit is provided with dispatching suggestion module, risk analysis module and optimization scheme generation module.

[0125] For example, the dispatching suggestion module outputs dispatching suggestions and optimization schemes by inputting data from the state evaluation unit and dynamic behavior simulation unit, generates power supply dispatching suggestions according to the results of dynamic simulation and state evaluation information, to guarantee the normal operation and power supply stability of the power grid. The risk analysis module outputs risk analysis reports and suggestions by inputting information of potential risks in power grid operation (from the power balance module and the safety evaluation module). The optimization scheme generation module outputs optimized operation schemes and dispatching strategies by inputting real-time operation data, set optimization targets and evaluation results (from the dispatching suggestion module).

[0126] Based on power grid simulation data and decision support algorithms, this module provides the optimal solution for power grid operation to reduce costs, improve efficiency and enhance the robustness of the power grid.

[0127] Five, the internal user interaction unit is provided with data visualization module, operation interface module and user feedback module.

[0128] For example, the data visualization module outputs visual charts and graphs by inputting complex data from various modules, such as displaying power grid simulation results and information in the form of charts and graphs to users, to facilitate users to intuitively understand the operation of the power grid. The operation interface module outputs user-friendly operation interface content by inputting user operation instructions, such as users can operate and adjust related parameters through the interface to realize customized management of the power grid. The user feedback module outputs feedback information summary by inputting user feedback opinions and suggestions on the system, for system improvement reference. For example, collecting user feedback opinions on power grid simulation results and interface experience is used to continuously improve the power grid model and user interaction interface, to improve the user-friendliness and practicality of the system.

[0129] Based on the content described in the above embodiments, the system can be used in smart grid and distributed energy management to reflect the operation state, dynamic characteristics and grid behavior in different scenarios. Figure 8 A flowchart of a power grid modeling simulation method provided in the present application is shown in FIG. 1, which can include the following steps: Figure 8

[0130] S801, obtaining operation impact parameters in the power grid.

[0131] The operation impact parameters in the power grid can be load changes, generator output, wind speed / light, etc. data obtained by the dynamic behavior simulation module through real-time sensors (such as PMU, smart meter) or SCADA system, or can be load changes, generator output, wind speed / light, etc. data obtained by relying on historical data or prediction model.

[0132] S802, simulating the dynamic behavior of the power grid based on the topological structure model and the operation impact parameters, obtaining simulation information, the topological structure model being used to indicate the connection relationship and layout information between each power grid component in the power grid, wherein the topological structure model is constructed according to the parameter information of the power grid components in the power grid.

[0133] Before this step, the established topological structure model can include:

[0134] The device modeling module models each power device in the power grid, such as generators, transformers, transmission lines, etc., and the device modeling formula is:

[0135] ;

[0136] Wherein, is the impedance of the transmission line, , are the resistance and reactance of the line, respectively.

[0137] The line modeling module establishes the model of the transmission line, considering the parameters and connection relationship of the line, such as the line modeling formula:

[0138] ;

[0139] Wherein, is the voltage at node , is the current at node , is the impedance between nodes and .

[0140] ​The substation modeling module creates a corresponding substation model and manages the connection relationship between various devices. The goal of substation modeling is to ensure reasonable connection and transmission between power devices.

[0141] In this embodiment, simulating the dynamic behavior of the power grid can include:

[0142] The load simulation module simulates changes in user load, typically using a load prediction model to generate real-time load demand data.

[0143] The generator simulation module simulates the output scheduling of different types of generators to ensure power supply and demand balance. The generator scheduling formula is:

[0144] ;

[0145] wherein, is the power demand of the power grid, is the loss power of the line and device.

[0146] The wind and photovoltaic simulation module simulates the power generation characteristics of renewable energy, taking into account the randomness and uncertainty of wind and light to adjust the power generation of the power grid in real time.

[0147] S803, according to the topological structure model and the simulation information, the state of the power grid is monitored and evaluated, and the state evaluation information is obtained.

[0148] Among them, the state monitoring and evaluation of the power grid can refer to:

[0149] The power balance module evaluates the overall power balance of the power grid to ensure good balance between supply and demand. An example of the power balance formula is:

[0150] ;

[0151] The safety evaluation module analyzes various fault conditions and stability of the power grid to ensure that the power grid has automatic adjustment capability under abnormal conditions and guarantees the safety of the power grid.

[0152] S804, based on the simulation information and the state evaluation information, the optimization decision information of the power grid is generated.

[0153] Further, based on the results of dynamic simulation and state evaluation information, power supply scheduling suggestions are generated to ensure normal operation and stable power supply of the power grid. Based on the power grid simulation data and decision support algorithm, the optimal solution for power grid operation is provided to reduce cost, improve efficiency and enhance the robustness of the power grid.

[0154] Based on the above embodiment, the method may further include: utilizing a user interaction unit to visualize power grid information through data visualization, an operation interface module to provide an operation interface, and a user feedback module to collect user feedback. Furthermore, the data visualization module displays power grid simulation results and information to users in the form of charts, graphs, and other formats, allowing them to intuitively understand the operation of the power grid; the operation interface module provides a user interface through which users can operate and adjust relevant parameters, enabling customized management of the power grid; and the user feedback module collects user feedback on power grid simulation results and interface experience, which is used to continuously improve the power grid model and user interaction interface, thereby enhancing the user-friendliness and practicality of the system.

[0155] The power grid modeling and simulation method provided in the embodiment of the present application, by introducing a dynamic behavior simulation module, enables the system to quickly respond to changes in the operation of the power grid, monitor the power grid status in real time, improve the real-time monitoring capability and fault warning capability, and at the same time help to timely detect and solve potential problems, and ensure the stability and safety of the power grid operation; through the precise modeling of the power grid topology structure and full consideration of dynamic characteristics, the system can accurately reflect the operation status of the power grid, reduce prediction errors, and help to more accurately analyze potential risks and optimize power grid operation strategies; through the decision support module combined with the machine learning algorithm, scientific and reliable scheduling suggestions are provided to dispatchers, helping to optimize power grid scheduling decisions, reduce operational risks and improve the economy and safety of the power grid, and at the same time help to improve the efficiency of power grid resource utilization and reduce operating costs.

[0156] Figure 9 This is a schematic diagram of the structure of the electronic device provided in this application. Figure 9 As shown, the electronic device 90 provided in this embodiment includes: at least one processor 901 and a memory 902. Optionally, the device 90 further includes a communication component 903. The processor 901, the memory 902, and the communication component 903 are connected via a bus 904.

[0157] During the specific implementation process, at least one processor 901 executes the computer-executable instructions stored in the memory 902, so that the at least one processor 901 performs the above method.

[0158] The specific implementation process of the processor 901 can be found in the above method embodiment. Its implementation principle and technical effects are similar and will not be repeated here in this embodiment.

[0159] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly executed by a hardware processor or by a combination of hardware and software modules within the processor.

[0160] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage.

[0161] A bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be categorized as address buses, data buses, and control buses. For ease of illustration, the buses in the drawings of this application are not limited to just one bus or just one type of bus.

[0162] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0163] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0164] The readable storage medium may be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0165] An example readable storage medium is coupled to the processor such that the processor can read information from the readable storage medium and can write information to the readable storage medium. Of course, the readable storage medium can also be a part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in the device.

[0166] The division of units is only a logical functional division, and in actual implementation, there can be another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0167] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0168] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0169] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the present application that essentially contributes to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0170] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The foregoing program can be stored in a computer readable storage medium. The program executes to perform the steps of the above-mentioned method embodiments; and the foregoing storage medium includes various media capable of storing program codes, such as ROM, RAM, magnetic disk, or optical disk.

[0171] Finally, it should be noted that other embodiments of the present application will readily occur to those skilled in the art upon consideration of the specification and practice of the present application disclosed herein. The present application is intended to include all such variations, uses, or adaptations of the application in which the general principles of the application are used to best advantage and encompassed within its scope. The present application is not limited to the precise structures described and shown in the accompanying drawings and figures, and can be practiced with variation of modifications and alterations without departing from the scope of the present application. The scope of the present application is limited only by the claims appended hereto.

Claims

1. A power grid modeling and simulation system, characterized in that: include: A power grid topology modeling unit, configured to construct a topology model of the power grid based on parameter information of power grid components in the power grid; The topology model is used to indicate the connection relationship and layout information between various grid components in the grid; A dynamic behavior simulation unit, configured to simulate the dynamic behavior of the power grid based on the topology model and the operation influencing parameters to obtain simulation information; a state evaluation unit, configured to monitor and evaluate the state of the power grid according to the topology model and the simulation information, and obtain state evaluation information; A decision support unit is used to generate optimization decision information of the power grid based on the simulation information and the state assessment information.

2. The system according to claim 1, wherein: The power grid topology modeling unit includes a line modeling module, a substation modeling module, a device modeling module and a network connection module; The line modeling module is used to construct a line topology structure according to first parameter information of the transmission line in the power grid; The substation modeling module is used to construct a substation topology structure according to the second parameter information of the substation in the power grid; The device modeling module is used to construct a device topology structure based on the third parameter information of the power equipment in the power grid; The network connection module is configured to obtain a topology model of a power grid according to the line topology, the substation topology, and the device topology; The power grid components include the transmission line, the substation and the power equipment, and the parameter information includes the first parameter information, the second parameter information and the third parameter information.

3. The system according to claim 1, wherein: The dynamic behavior simulation unit includes a load simulation module, a generator simulation module and a wind and photovoltaic simulation module; The load simulation module is configured to simulate a change in load in the power grid based on the topology model and a first operation influencing parameter to obtain first simulation information, wherein the first operation influencing parameter includes a load type and a demand change parameter; The generator simulation module is configured to simulate changes in the generators in the power grid based on the topology model and second operation influencing parameters to obtain second simulation information, wherein the second operation influencing parameters include operating parameters of the generators; The wind photovoltaic simulation module is used to simulate changes in wind photovoltaic power generation equipment in the power grid based on the topological structure model and third operation influencing parameters to obtain third simulation information, wherein the third operation influencing parameters include wind speed parameters and / or light parameters; The operation influencing parameters include the first operation influencing parameter, the second operation influencing parameter, and the third operation influencing parameter, and the simulation information includes the first simulation information, the second simulation information, and the third simulation information.

4. The system according to claim 3, characterized in that The dynamic behavior simulation unit also includes an oscillation simulation module; The oscillation simulation module is configured to simulate the oscillation of the power grid operation based on the topology model and a fourth operation influencing parameter to obtain fourth simulation information, wherein the fourth operation influencing parameter includes real-time frequency and voltage fluctuation data of the power grid; Among them, the operation influencing parameters include the first operation influencing parameter, the second operation influencing parameter, the third operation influencing parameter and the fourth operation influencing parameter, and the simulation information includes the first simulation information, the second simulation information, the third simulation information and the fourth simulation information.

5. The system according to claim 1, wherein: The state assessment unit includes a state monitoring module, a power balancing module and a safety assessment module; The state monitoring module is used to monitor the state of the power grid according to the simulation information to obtain the current operating state; The power balancing module is configured to determine power balance assessment information of the power grid based on the load simulation data, the generator simulation data, and the current operating state in the simulation information; The security assessment module is configured to assess the security of the power grid based on the model parameters of the topology model and the simulation information to obtain security assessment information; The state evaluation information includes the current operating state, the power balance evaluation information and the safety evaluation information.

6. The system according to claim 5, characterized in that The decision support unit includes a scheduling suggestion module and an optimization solution generation module; The scheduling suggestion module is used to generate power supply scheduling suggestion information of the power grid based on the simulation information and the state assessment information, wherein the power supply scheduling suggestion information is suggestion information for optimizing generator output, load adjustment, and energy storage utilization in the power grid; The optimization scheme generating module is used to generate a target optimization scheduling scheme based on the power supply scheduling suggestion information, the simulation information and the status assessment information; The optimization decision information includes the power supply scheduling recommendation information and the target optimization scheduling scheme.

7. The system according to claim 6, characterized in that The decision support unit also includes a risk analysis module; The risk analysis module is configured to analyze abnormal conditions in the power grid based on the power balance assessment information and the safety assessment information in the status assessment information to obtain abnormality analysis result information; The optimization decision information includes the power supply scheduling recommendation information, the target optimization scheduling plan and the abnormality analysis result information.

8. The system according to any one of claims 1 to 7, characterized in that The power grid modeling and simulation system further includes: a user interaction unit; The user interaction unit is configured to receive and send optimization target information to the decision support unit, wherein the optimization target information represents the priority or optimization direction of the power grid operation scheduling; Accordingly, the decision support unit is further configured to generate optimization decision information of the power grid based on the optimization target information, the simulation information and the state assessment information; The user interaction unit is further configured to receive and display model information corresponding to the topology model sent by the power grid topology modeling unit, simulation information sent by the dynamic behavior simulation unit, state evaluation information sent by the state evaluation unit, and optimization decision information sent by the decision support unit; The user interaction unit is further configured to receive and manage feedback on the power grid modeling simulation system.

9. The system according to claim 8, characterized in that The user interaction unit includes a data visualization module, an operation interface module and a user feedback module; The data visualization module is used to display simulation information, state assessment information, optimization decision information, and model information corresponding to the topology model in the power grid modeling simulation system to the user; The operation interface module is configured to receive the optimization target information and send the optimization target information to the decision support unit; The user feedback module is used to receive and manage feedback on the power grid modeling simulation system.

10. A power grid modeling simulation method, characterized in that: Applied to the power grid modeling and simulation system according to any one of claims 1 to 9, the method comprises: Obtaining operation-affecting parameters in the power grid; Simulating dynamic behavior of the power grid based on a topology model and the operation influencing parameters to obtain simulation information, wherein the topology model is used to indicate connection relationships and layout information between power grid components in the power grid, wherein the topology model is constructed based on parameter information of the power grid components in the power grid; Performing state monitoring and evaluation on the power grid according to the topology model and the simulation information to obtain state evaluation information; Optimization decision information of the power grid is generated based on the simulation information and the state assessment information.

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