Microgrid closed-loop cross-validation simulation system, method, device, and medium

Abstract

The present application relates to the technical field of micro-grid simulation, and particularly relates to a micro-grid closed-loop cross-validation simulation system, method, device and medium, the system comprising a bottom data generation module, a topology automatic mapping module, a communication protocol module, a master station control module, an index evaluation module, a man-machine interface module and a historical section playback module; the system can simulate the steady-state operation characteristics of different types of micro-grid elements, can interact with an external micro-grid energy management system based on the system, and can realize closed-loop cross-validation testing through the master station simulation function; the system can simulate different characteristic resources, verify different investment subjects and different user operation targets, verify micro-grid dynamic aggregation capability, verify micro-grid coordination, and the like; and based on the system, micro-grid group verification can be realized to provide a test environment for master station micro-grid group coordinated control.

Description

Technical Field

[0001] This invention relates to the field of microgrid simulation technology, and in particular to a microgrid closed-loop cross-validation simulation system, method, equipment and medium. Background Technology

[0002] The development of microgrid technology has provided a new solution for integrating distributed power sources into the distribution network. A microgrid is a micro-energy system integrating "source-grid-load-storage-charging-flexibility," possessing high flexibility and controllability. Through internal regulation, it can effectively compensate for the shortcomings of distributed power sources in terms of dispersion, randomness, intermittency, and volatility, thereby enhancing the distribution network's capacity to accommodate distributed renewable energy and solving the security and stability issues arising from the integration of a large number of distributed power sources. Microgrids can improve the reliability of the distribution system and help enhance the efficiency of the power system in utilizing renewable energy.

[0003] In the operation of microgrids, the microgrid closed-loop cross-validation simulation system plays a crucial role. This system, aiming for economic optimization, manages the generation, distribution, and consumption of electricity in the microgrid system in real time and analyzes the operational results. Its core functions include generation forecasting, distributed power source management, load management, power generation and consumption planning, and statistical analysis. It can also respond to the operational control requirements of the master substation. By dynamically aggregating diverse heterogeneous resources, the microgrid closed-loop cross-validation simulation system achieves coordinated control with the main distribution network, improving the system's operational efficiency and security.

[0004] However, microgrids contain a large number of heterogeneous distributed resources with different characteristics. The composition of distributed resources varies from microgrid to microgrid, and different investors have different operational goals. This makes the operation control and analysis prediction of microgrids complex and difficult. Furthermore, there is a lack of flexible and effective testing environments to verify the operation strategies of microgrid closed-loop cross-validation simulation systems. These problems result in simple control strategies and poor adaptability of microgrid closed-loop cross-validation simulation systems, which cannot meet the needs of different types of microgrids.

[0005] The information disclosed in this background section is intended only to enhance the understanding of the general background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] This invention provides a microgrid closed-loop cross-validation simulation system, method, equipment, and medium, thereby effectively solving the problems in the background art.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is: a microgrid closed-loop cross-validation simulation system, comprising: a bottom-level data generation module, an automatic topology mapping module, a communication protocol module, a master station control module, an index evaluation module, a human-machine interface module, and a historical section playback module;

[0008] The underlying data generation module is used to generate steady-state operation data of microgrid resources, which include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and to model the connected devices, which include buses, grid connection points and switches.

[0009] The automatic topology mapping module is used to automatically generate and update the microgrid interface topology map based on the association between the microgrid resources and the connected devices.

[0010] The communication protocol module is used to transmit the real-time data of the microgrid resources and the connected devices to an external system in accordance with the standard communication protocol, so as to realize remote monitoring and control and to interact with the external devices.

[0011] The main station control module is used to receive adjustment control commands from the client and adjust the parameters of the control commands based on the real-time data.

[0012] The indicator evaluation module is used to evaluate the control effect based on the power of the microgrid grid connection point and other real-time operating data, and to judge the system operating status in real time through the analysis of the evaluated indicators.

[0013] The human-machine interface module provides a visual interactive interface for configuring the simulation system, displaying real-time data, and issuing control commands.

[0014] The historical cross-section playback module is used to record the operation process data of the simulation system and select historical data for playback according to user needs to display the system operation status within a selected time period, supporting the review and analysis of the operation process.

[0015] Furthermore, the underlying data generation module is used to generate steady-state operation data of microgrid resources, and the steady-state operation data generation method includes:

[0016] Atypical industrial load data is generated by importing historical curves of typical days. When the historical curves are minute-level data, interpolation methods are used to generate data within second-level or millisecond-level intervals.

[0017] Photovoltaic distributed resource data: Based on the geographical location and operating time of the microgrid, irradiance data for the corresponding date and location is obtained, and photovoltaic active power data for the day is automatically generated;

[0018] Based on the user's set operation strategy and charging habits, the energy storage and charging pile data configures the start and end times of charging and discharging of energy storage devices or charging piles and the charging power, generating corresponding active power data for energy storage and charging piles.

[0019] The data from the flexible interconnect device is used to output power under port capacity constraints according to control commands, generating power output data for the flexible interconnect device while meeting actual operating requirements.

[0020] Furthermore, the underlying data generation module generates real-time data based on the remote adjustment or control command from the microgrid energy management system after the microgrid resources receive the command, rather than generating data according to the initial strategy. The underlying data generation module includes:

[0021] The real-time power output unit is used to compare the real-time data curve with the agreed value of the current remote adjustment or remote control command, and dynamically adjust and output the real-time power data according to the comparison result to meet the control needs and command requirements of the current microgrid system.

[0022] The status calculation unit is used to calculate the status of the microgrid resources based on the real-time power data, equipment capacity, and real-time power consumption, and to update the energy status data in real time.

[0023] The data push unit is used to push the real-time power data and the status data to the time series database to support subsequent system monitoring, data analysis and storage, thereby providing data support for subsequent operation optimization, fault analysis and report generation.

[0024] Furthermore, the automatic topology mapping module is used to automatically generate a microgrid interface topology map and associate the microgrid resources with the connected devices. The automatic topology mapping module includes:

[0025] The association configuration unit is used to associate the microgrid resources with the line segment endpoints in the connection device, and to arrange the microgrid resources in layers according to the layout hierarchy to automatically generate a layered topology diagram.

[0026] The grid connection point power merging unit is used to automatically sum the power values ​​of each microgrid resource associated with the grid connection point switch by detecting the connection method between the grid connection point switch and the bus, the open / closed status of the sectionalizing switch, the connection status between the microgrid resource and the bus, and the switch position, and then associate it with the total power of the grid connection point switch.

[0027] The real-time correlation and power calculation unit is used to dynamically adjust the correlation relationship of the grid connection point power based on the real-time position changes of the grid connection point switch, and to calculate the power distribution in real time.

[0028] Furthermore, the communication protocol module includes:

[0029] The standardized point table generation unit is used to generate a standardized point table for the instantiated microgrid resources and the connected devices, and arrange them in order to ensure the uniform format and transmission order of the data, thus forming standardized data.

[0030] The data transmission unit is used to read data from the time-series database in real time based on the standardized data, and send the data to the external system through change-based uploading and periodic uploading; and to respond to the control commands issued by the microgrid energy management system, forwarding the control commands to the corresponding microgrid resources and the connected devices, so as to realize the effective execution of the control commands and the real-time synchronization of data.

[0031] Furthermore, the indicator evaluation module includes:

[0032] The indicator calculation unit is used to edit indicator evaluation script formulas according to test requirements. It supports at least basic operations, logical judgments, and loop judgments to flexibly realize the calculation and analysis of various evaluation indicators.

[0033] The indicator discrimination unit is used to output the evaluation results of the indicator to the human-computer interface module, display the curve in real time, provide a recommendation based on the evaluation results of the indicator, and give the test failure judgment result.

[0034] The cross-sectional data recording and indexing unit is used to record the corresponding historical cross-sectional data after the test failure judgment result, and generate an index to facilitate subsequent querying and analysis.

[0035] The indicator extension unit is used to support the analysis of indicators for adjusting accuracy, response time, and economic benefit, and can be extended according to testing needs to adapt to different testing scenarios and analysis requirements.

[0036] Furthermore, the human-machine interface module includes:

[0037] The model management unit is used to create and configure the microgrid resource model and the connection device model, and to realize centralized management of each model in the simulation system.

[0038] The project management unit is used to manage various simulation projects based on the microgrid resource model and the connection device model, and supports the comprehensive management of project data configuration, microgrid interface topology generation and project status, forming project data and topology structure;

[0039] The project operation and testing unit is used to realize real-time operation testing of the project based on the project data and the topology, and supports real-time data display, curve display, command issuance and historical data indexing functions.

[0040] Furthermore, the curve display includes real-time power display, adjustability margin display, and real-time indicator calculation curve display of the grid connection point and different microgrid resources, so as to facilitate users to monitor and control the system's operating status in real time.

[0041] This invention also includes a microgrid closed-loop cross-validation simulation method, further, for the system described above, the method comprising:

[0042] S10: Generate steady-state operation data of microgrid resources, which include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and model the connected devices, which include buses, grid connection points and switches;

[0043] S20: Automatically generate and update the microgrid interface topology diagram based on the association between the microgrid resources and the connected devices;

[0044] S30: In accordance with the standard communication protocol, the real-time data of the microgrid resources and the connected devices are transmitted to an external system to realize remote monitoring and control, and to interact with the external devices.

[0045] S40: Receive adjustment control instructions from the client, and adjust the parameters of the control instructions based on the real-time data;

[0046] S50: The control effect is evaluated based on the power of the microgrid grid connection point and other real-time operating data, and the system operating status is judged in real time through the analysis of the evaluation indicators;

[0047] S60: Provides a visual interactive interface for configuring the simulation system, displaying real-time data, and issuing control commands;

[0048] S70: Records the operation process data of the simulation system and allows users to select historical data for playback according to their needs, so as to display the system operation status within a selected time period and support the review and analysis of the operation process.

[0049] The present invention also includes a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as described above.

[0050] The present invention also includes a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described above.

[0051] The beneficial effects of this invention are as follows:

[0052] This system can simulate the steady-state operating characteristics of different types of microgrid components. Based on this system, it can interact with external microgrid energy management systems and achieve closed-loop cross-validation testing through its own master station simulation function.

[0053] Based on this system, simulations of resources with different characteristics can be achieved, verification of the operational goals of different investment entities and users can be realized, verification of the dynamic aggregation capability of microgrids can be achieved, and verification of distribution-microgrid coordination can be realized. At the same time, based on this system, microgrid group verification can be realized, providing a test environment for the coordinated control of the main station microgrid group. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a schematic diagram of the microgrid closed-loop cross-validation simulation system.

[0056] Figure 2 This is a structural diagram of the underlying data generation module;

[0057] Figure 3 This is a schematic diagram of the automatic topology mapping module;

[0058] Figure 4 A schematic diagram of the communication protocol and the main station control module;

[0059] Figure 5 This is a structural diagram of the indicator evaluation module;

[0060] Figure 6 A flowchart illustrating the closed-loop cross-validation simulation method for microgrids;

[0061] Figure 7 This is a schematic diagram of the structure of a computer device. Detailed Implementation

[0062] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0063] Example 1:

[0064] like Figure 1As shown: A microgrid closed-loop cross-validation simulation system includes: a bottom-level data generation module, an automatic topology mapping module, a communication protocol module, a master station control module, an index evaluation module, a human-machine interface module, and a historical section playback module;

[0065] The underlying data generation module is used to generate steady-state operation data of microgrid resources, which include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices. It also models the connected devices, including buses, grid connection points, switches, etc., to form the underlying data support of the simulation system and provide a real-time data foundation for the operation of the simulation system.

[0066] The automatic topology mapping module is used to automatically generate and update the microgrid interface topology map based on the relationship between microgrid resources and connected devices. This module can dynamically merge the power of grid connection points to reflect the changes in topology under actual operating conditions, thereby supporting real-time monitoring and simulation analysis needs.

[0067] The communication protocol module is used to transmit real-time data of microgrid resources and connected devices to external systems in accordance with standard communication protocols, enabling remote monitoring and control, and data interaction with external devices to ensure the flexibility and synergy of the system.

[0068] The master station control module is used to receive adjustment control commands from the client and adjust the parameters of the control commands based on real-time data to achieve steady-state control of microgrid resources and ensure system reliability.

[0069] The indicator evaluation module is used to evaluate the control effect based on the power of the microgrid grid connection point and other real-time operating data. By analyzing the evaluated indicators, the system operating status is judged in real time, providing a basis for optimizing the control strategy.

[0070] The human-machine interface module provides a visual interactive interface for configuring the simulation system, displaying real-time data, and issuing control commands; it also supports users in monitoring the system's operating status and adjusting simulation parameters according to actual needs.

[0071] The historical cross-section playback module is used to record the operation process data of the simulation system and select historical data for playback according to user needs to display the system operation status within a selected time period, supporting the review and analysis of the operation process.

[0072] This system can simulate the steady-state operating characteristics of different types of microgrid components. Based on this system, it can interact with external microgrid energy management systems and achieve closed-loop cross-validation testing through its own master station simulation function.

[0073] Based on this system, simulations of resources with different characteristics can be achieved, verification of the operational goals of different investment entities and users can be realized, verification of the dynamic aggregation capability of microgrids can be achieved, and verification of distribution-microgrid coordination can be realized. At the same time, based on this system, microgrid group verification can be realized, providing a test environment for the coordinated control of the main station microgrid group.

[0074] Through the underlying data generation module and the automatic topology mapping module, this solution can generate steady-state operation data of different microgrid resources (such as photovoltaic, energy storage, charging piles, etc.) and automatically generate and update the microgrid topology map. This function adapts to the problem of the diversity of distributed resources in microgrids mentioned in the background technology, can effectively simulate the characteristics and operation requirements of different types of resources, and solves the control and analysis problems caused by the different characteristics of heterogeneous resources.

[0075] The communication protocol module and the master station control module support remote data transmission and real-time control. The communication protocol module can interact with the resource data in the system with the external system in real time, realize remote monitoring and management of microgrid resources, and ensure the flexibility of the system. The master station control module can issue commands within the adjustment margin range, effectively cope with the control requirements under different operating objectives, and solve the operation control problem caused by different objectives of different investment entities in the background technology.

[0076] The indicator evaluation module provides a control effect evaluation function based on real-time data, supports real-time judgment of system operation status, and analyzes and judges the system operation status and control strategy effect in real time through the set evaluation indicators, which helps to optimize the operation control strategy, thereby improving the system's adaptability and operating efficiency, and directly solves the problem of "simple control strategy and poor adaptability" mentioned in the background technology.

[0077] The human-machine interface module supports real-time data display, control command issuance, and simulation parameter adjustment through an intuitive visual interactive interface, enabling users to monitor and operate the system more conveniently. The interactive design not only improves the user experience of the system, but also enables the system to flexibly respond to the needs of different users, meet the requirements of diverse testing and verification environments, and enhance the system's adaptability and flexibility.

[0078] The historical cross-section playback module supports the recording and playback of system operation data, providing users with the function of displaying the system operation status within a selected time period. This helps to review and analyze past control and operation effects, provides data support for optimizing future operation strategies, solves the problem of lack of flexible testing environment mentioned in the background technology, and supports the improvement and perfection of system control strategies.

[0079] The underlying data generation module is used to generate steady-state operation data of microgrid resources. The steady-state operation data generation methods include:

[0080] Atypical industrial load data is generated by importing historical curves of typical days. When the historical curves are minute-level data, interpolation methods are used to generate data within second-level or millisecond-level intervals to ensure that the time resolution of the load data meets the simulation requirements.

[0081] Photovoltaic distributed resource data obtains irradiance data for the corresponding date and location based on the geographical location and operating time of the microgrid, and automatically generates photovoltaic active power data for the day to reflect the actual power generation of photovoltaic resources;

[0082] Based on the user's set operating strategy and charging habits, the data on energy storage and charging piles is configured with the start and end times of charging and discharging of energy storage devices or charging piles and the charging power, thereby generating the corresponding active power data of energy storage and charging piles, so as to simulate the operating status of energy storage and charging piles under different loads and demands.

[0083] The data from the flexible interconnect device is used to output power under port capacity constraints according to control commands. Under the condition of meeting actual operating requirements, the power output data of the flexible interconnect device is generated to ensure that the flexible interconnect device meets the system's load and scheduling requirements during the connection and coordination process.

[0084] By importing historical curves and using interpolation methods to generate atypical industrial load data with different time resolutions (such as second-level or millisecond-level), the system can simulate more granular power load changes, providing more realistic and higher-precision simulation results. This helps to better predict load fluctuations and system response, improving the reliability and accuracy of simulation results. By configuring the charging and discharging strategies, time periods, and power of energy storage devices and charging piles, the system can simulate the actual operating conditions of energy storage systems and charging piles for different user needs (such as load demand, charging habits, etc.). The flexible data generation method enables the system to cope with various complex operating scenarios, improving the adaptability and reliability of the simulation system. By controlling the constraints of commands and port capacity, the system ensures that the power output of flexible interconnected devices meets actual operating requirements during the simulation process. This helps microgrids to rationally dispatch energy in various complex interconnection scenarios, ensuring the stability and coordination of the system under different operating conditions. By dynamically generating real-time data of various microgrid resources and using this as a basis for system simulation, the system can achieve real-time monitoring and analysis of the microgrid system status, promptly identify potential problems or operating deviations, and help optimize the microgrid's operating strategies and control measures, ensuring the long-term stable and reliable operation of the system.

[0085] The underlying data module for microgrid resource modeling is abstracted and modeled as needed, and generally includes the following basic attributes:

[0086] 1) Telemetry: Equipment capacity, real-time power, SOC, adjustable upper limit, adjustable lower limit, maximum charging time, maximum discharging time, etc.;

[0087] 2) Remote signaling: power-on status, power-off status, fault status, communication interruption, etc.;

[0088] 3) Remote control: Start and stop;

[0089] 4) Remote adjustment: Power adjustment command.

[0090] Connectivity device modeling generally includes the following basic attributes:

[0091] 1) Endpoints of a line segment;

[0092] 2) Switch opening and closing;

[0093] 3) Layout hierarchy.

[0094] As a preferred embodiment of the above, the underlying data generation module generates real-time data based on the remote adjustment or control command received by the microgrid resources from the microgrid energy management system, rather than generating data according to the initial strategy. Figure 2 As shown, the underlying data generation module includes:

[0095] The real-time power output unit is used to compare the real-time data curve with the agreed value of the current remote adjustment or remote control command, and dynamically adjust and output the real-time power data according to the comparison result to meet the control needs and command requirements of the current microgrid system, thereby ensuring the real-time response capability and power regulation accuracy of the system.

[0096] The State of Charge (SOC) unit is used to calculate the state of microgrid resources (SOC) based on real-time power data, equipment capacity, and real-time power consumption, update the energy state data in real time, ensure that the actual operating status of the resources is accurately reflected, and support real-time control and decision optimization.

[0097] The data push unit is used to push real-time power data and status data to the time series database, supporting subsequent system monitoring, data analysis and storage, thereby providing data support for subsequent operation optimization, fault analysis and report generation.

[0098] By dynamically adjusting the power output based on the comparison between remote adjustment or control commands and real-time data curves, the real-time power output unit ensures the real-time response of the microgrid system to control commands. This enables the system to flexibly adjust its power output according to different dispatch commands, ensuring that the changes in grid load and resource dispatch requirements are met in real time and accurately, thereby improving the response speed and control accuracy of the microgrid system.

[0099] The State of Charge (SOC) unit accurately calculates the state of microgrid resources by combining real-time power data, device capacity, and real-time power consumption, ensuring real-time updates and accurate reflection of the energy state. This function can monitor the charging and discharging status of battery storage devices and other resources in real time, thereby providing accurate energy state information for the operation and scheduling of the microgrid.

[0100] The data push unit pushes real-time power and status data to the time-series database, supporting system monitoring, data analysis, and storage. This not only ensures the transparency of system operation but also provides detailed historical data support for subsequent fault diagnosis, system optimization, and performance evaluation.

[0101] In this embodiment, as Figure 3 As shown, the automatic topology mapping module is used to automatically generate a microgrid interface topology map and associate microgrid resources with connected devices. The automatic topology mapping module includes:

[0102] The associated configuration unit is used to associate and configure microgrid resources with line segment endpoints in the connected devices, and to arrange microgrid resources in layers according to the layout hierarchy to automatically generate a layered topology diagram, ensuring that the relationship between microgrid resources and connected devices is clear and reasonable, which facilitates subsequent simulation analysis and control.

[0103] The grid connection point power merging unit is used to automatically sum the power values ​​of each microgrid resource associated with the grid connection point switch by detecting the connection method between the grid connection point switch and the bus, the open / closed status of the sectionalizing switch, the connection status between the microgrid resource and the bus, and the switch position, and then associate it with the total power of the grid connection point switch.

[0104] The real-time correlation and power calculation unit is used to dynamically adjust the correlation relationship of the grid connection point power by combining the real-time position changes of the grid connection point switch, and calculate the power distribution in real time. This ensures that the topology map can accurately reflect the current operating status and power distribution changes of the microgrid, supports real-time monitoring and analysis, and improves the dynamic response capability and simulation accuracy of the microgrid.

[0105] Automatic topology updates and real-time power merging calculations provide an accurate data foundation for the system. Real-time power calculations and monitoring of distribution changes enable microgrids to perform more efficient simulation analysis, optimize operating strategies, and provide decision support. Through continuous data updates, users can adjust control strategies based on real-time data to optimize the operating efficiency of the microgrid.

[0106] Among them, such as Figure 4 As shown, the communication protocol module includes:

[0107] The standardized point table generation unit is used to generate standardized point tables for instantiated microgrid resources and connected devices, and arrange them in order to ensure the uniform format and transmission order of the data, forming standardized data, thereby providing a standardized basis for subsequent data transmission and ensuring data consistency and efficiency.

[0108] The data transmission unit is used to read data from the time-series database in real time based on standardized data, and send the data to the external system through change-based and periodic transmission methods; it is also used to respond to control commands issued by the microgrid energy management system, forward the control commands to the corresponding microgrid resources and connected devices, and realize the effective execution of control commands and real-time data synchronization.

[0109] Through the standardized point table generation unit, the data of instantiated microgrid resources and connected devices are converted into standardized data in a unified format, ensuring the uniform format and transmission order of the data and providing a stable foundation for subsequent transmission. The data transmission unit uploads data from the microgrid system to the external system in a timely manner through real-time reading and periodic transmission based on standardized data. By using change-based and periodic transmission methods, the real-time data of the microgrid can be transmitted efficiently in different time periods, meeting the needs of real-time monitoring and scheduling.

[0110] As a preferred embodiment of the above, such as Figure 5 As shown, the indicator evaluation module includes:

[0111] The indicator calculation unit is used to edit indicator evaluation script formulas according to test requirements. It supports at least basic operations, logical judgments and loop judgments to flexibly realize the calculation and analysis of various evaluation indicators and meet the indicator evaluation of different test requirements.

[0112] The indicator discrimination unit is used to output the indicator evaluation results to the human-machine interface module and display them in real time. It provides recommended judgments based on the indicator evaluation results and gives the test failure judgment results, so as to facilitate users to intuitively monitor the control effect and realize real-time analysis and feedback of the microgrid operation status.

[0113] The cross-section data recording and indexing unit is used to record the corresponding historical cross-section data after the test failure judgment result, and generate an index to facilitate subsequent query and analysis, and provide data support for system fault analysis and optimization.

[0114] The indicator extension unit is used to support the analysis of indicators such as adjustment accuracy judgment, response time judgment, and economic benefit judgment, and the indicators can be extended according to test requirements to adapt to different test scenarios and analysis needs.

[0115] The indicator calculation unit supports basic operations, logical judgments, and loop judgments. Users can edit custom indicator evaluation script formulas according to testing needs, enabling flexible calculation and analysis of various indicators. This flexibility allows the system to adapt to different testing scenarios and complex evaluation requirements. The cross-sectional data recording and indexing unit automatically records the corresponding cross-sectional data and generates an index when the system encounters test failures or other anomalies. This automated recording and indexing function facilitates subsequent querying and analysis, providing reliable data support, especially during fault analysis and system optimization.

[0116] In this embodiment, the human-machine interface module includes:

[0117] The model management unit is used to create and configure microgrid resource models and connection equipment models, and to centrally manage the models in the simulation system, providing a unified modeling and management platform for microgrid resources and equipment, and ensuring the uniformity and operability of the models.

[0118] The project management unit is used to manage various simulation projects based on the microgrid resource model and the connection equipment model. It supports the comprehensive management of project data configuration, microgrid interface topology generation, and project status, forming project data and topology structure. It provides full-process management for different simulation projects, ensuring the correct configuration and real-time updates of project data, topology structure, and status.

[0119] The project operation test unit is used to realize real-time operation testing of the project based on project data and topology. It supports functions such as real-time data display, curve display, command issuance and historical data indexing, ensuring the real-time and comprehensiveness of project testing, and facilitating users to monitor the system's operating status, analyze data and schedule control.

[0120] The model management unit provides a unified modeling platform, enabling the creation and configuration of models for microgrid resources and connected devices. The system supports centralized management of all microgrid resources and devices, thereby ensuring model consistency and operability and reducing errors and complexities that may result from model inconsistencies.

[0121] The project management unit manages projects based on resource models and connected device models, providing flexible data configuration and topology generation capabilities for each simulation project. Whether in project initialization, data configuration, or real-time updates of project status, the project management unit can efficiently coordinate resources and devices to ensure the smooth progress of each simulation project.

[0122] The project operation test unit enables real-time operation testing of the project, and can display project data, graphs, and historical data indexes in real time, allowing users to monitor the operation status of the microgrid in real time, analyze test results, and make adjustments or optimizations based on real-time data.

[0123] As a preferred embodiment of the above, the curve display includes real-time power display, adjustable margin display, and real-time index calculation curve display of the grid connection point and different microgrid resources, so as to facilitate users to monitor and control the system operation status in real time.

[0124] By displaying the power output of the grid connection point and different microgrid resources in real time, users can intuitively view the real-time power status of the system. The real-time power display allows users to quickly understand the operating status of various microgrid resources, facilitating overall monitoring and timely detection of anomalies.

[0125] By importing typical curves and configuring typical parameters, basic steady-state operating data is generated, creating a microgrid underlying simulation system oriented towards steady-state operation. This simplifies the complex microgrid simulation logic, meets the cross-validation testing requirements between the microgrid and the microgrid energy management system, and has good engineering application value.

[0126] This invention also includes a microgrid closed-loop cross-validation simulation method for systems as described above, such as... Figure 6 As shown, the method includes:

[0127] S10: Generate steady-state operation data of microgrid resources, which include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and model the connected devices, including buses, grid connection points and switches;

[0128] S20: Automatically generate and update the microgrid interface topology diagram based on the association between microgrid resources and connected devices;

[0129] S30: In accordance with standard communication protocols, real-time data of microgrid resources and connected devices are transmitted to external systems to enable remote monitoring and control, and to interact with external devices.

[0130] S40: Receives adjustment control commands from the client and adjusts the parameters of the control commands based on real-time data;

[0131] S50: Evaluates the control effect based on the power at the microgrid grid connection point and other real-time operating data, and judges the system operating status in real time through the analysis of the evaluation indicators;

[0132] S60: Provides a visual interactive interface for configuring the simulation system, displaying real-time data, and issuing control commands;

[0133] S70: Records the operation process data of the simulation system and allows users to select historical data for playback according to their needs, so as to display the system operation status within a selected time period and support the review and analysis of the operation process.

[0134] Please see Figure 7 The diagram shows a structural schematic of a computer device provided in an embodiment of this application. An embodiment of this application provides a computer device 400, including a processor 410 and a memory 420. The memory 420 stores a computer program executable by the processor 410. When the computer program is executed by the processor 410, it performs the method described above.

[0135] This application embodiment also provides a storage medium 430, on which a computer program is stored, and the computer program is executed by a processor 410 to perform the above method.

[0136] The storage medium 430 can be implemented by any type of volatile or non-volatile storage 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 Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0137] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. "A plurality of" means two or more, unless otherwise explicitly specified.

[0138] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0139] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0140] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0141] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0142] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0143] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0144] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A microgrid closed-loop cross-validation simulation system, characterized in that, The application relates to a micro-grid simulation system, which comprises the following modules: a bottom-layer data generation module, a topology automatic mapping module, a communication protocol module, a master station control module, an index evaluation module, a man-machine interface module and a historical cross-section playback module; the bottom-layer data generation module is used for generating steady-state operation data of micro-grid resources, the micro-grid resources at least including photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and modeling connection equipment including busbars, grid-connected points and switches; the topology automatic mapping module is used for automatically generating and updating a micro-grid interface topology graph according to the association relationship between the micro-grid resources and the connection equipment; the communication protocol module is used for transmitting real-time data of the micro-grid resources and the connection equipment to an external system according to a standard communication protocol, realizing remote monitoring and control, and interacting with external equipment; the master station control module is used for receiving an adjustment control instruction from a client and adjusting the issuing parameters of the control instruction based on the real-time data; the index evaluation module is used for evaluating the control effect based on micro-grid grid-connected point power and other real-time operation data, and judging the system operation state in real time through index analysis of the evaluation; the man-machine interface module provides a visual interactive interface and is used for simulating system configuration, real-time data display and control instruction issuing; the historical cross-section playback module is used for recording operation process data of the simulation system, and plays back historical data according to user requirements to show the system operation state in a selected time period, and supports operation process review and analysis.

2. The microgrid closed-loop cross-validation simulation system of claim 1, wherein, The bottom-layer data generation module is used for generating steady-state operation data of micro-grid resources, and the steady-state operation data generation mode comprises the following steps: non-typical industrial load data is generated by importing historical curves of typical days, when the historical curves are minute-level data, interpolation method is adopted to generate data in second-level or millisecond-level intervals; photovoltaic distributed resource data is obtained according to the geographical position and operation time of the micro-grid, the irradiance data of the corresponding date and place is obtained, and photovoltaic active power data of the day is automatically generated; energy storage and charging pile data are configured with the charging and discharging start and end time and charging power of the energy storage device or the charging pile based on the user-set operation strategy and charging habit, and the corresponding active power data of the energy storage and the charging pile are generated; flexible interconnection device data is generated by outputting power under the port capacity constraint condition according to the control instruction, and the power output data of the flexible interconnection device is generated under the condition of meeting the actual operation requirement.

3. The microgrid closed-loop cross-validation simulation system of claim 1, wherein, The bottom-layer data generation module generates real-time data in combination with the instruction after the micro-grid resource receives the remote adjustment or remote control instruction of the micro-grid energy management system, instead of generating data according to the initial strategy, and the bottom-layer data generation module comprises the following units: a real-time power output unit is used for comparing the real-time data curve and the agreed value of the current remote adjustment or remote control instruction, and dynamically adjusting and outputting real-time power data according to the comparison result, so as to meet the control requirement and instruction requirement of the current micro-grid system. A state calculation unit is configured to calculate the state of the micro-grid resource according to the real-time power data, the device capacity and the real-time power, and update the state data of the energy in real time. A data pushing unit is configured to push the real-time power data and the state data to a time series database, support subsequent system monitoring, data analysis and storage, and provide data support for subsequent operation optimization, fault analysis and report generation.

4. The microgrid closed-loop cross-validation simulation system of claim 1, wherein, The topology automatic mapping module is configured to automatically generate a micro-grid interface topology map, and associate and configure the micro-grid resource with the line segment endpoints in the connection device, and automatically generate a hierarchical topology map by layering the micro-grid resource according to a layout level. An associated configuration unit is configured to associate and configure the micro-grid resource with the line segment endpoints in the connection device, and layer the micro-grid resource according to a layout level, to automatically generate a hierarchical topology map. A grid-connected point power merging unit is configured to, for the micro-grid resource associated with the grid-connected point switch, automatically sum the power values of the micro-grid resources and associate the sum to the total power of the grid-connected point switch, by detecting the connection mode of the grid-connected point switch and the bus, the on-off state of the sectionalizing switch, the connection of the micro-grid resource and the bus, and the switch position. A real-time association and power calculation unit is configured to dynamically adjust the association relationship of the grid-connected point power in combination with the real-time position change of the grid-connected point switch, and calculate the power distribution in real time.

5. The microgrid closed-loop cross-validation simulation system of claim 1, wherein, The communication protocol module includes: A standardized point table generation unit is configured to generate a standardized point table for the instantiated micro-grid resource and the connection device, and arrange the tables in sequence, to ensure the unified format and transmission sequence of the data, and form standardized data. A data sending unit is configured to read the data in the time series database in real time based on the standardized data, send the data to an external system through the change uploading and periodic uploading, and forward the control instruction issued by the micro-grid energy management system to the corresponding micro-grid resource and connection device, to realize the effective execution of the control instruction and the real-time synchronization of the data.

6. The microgrid closed-loop cross-validation simulation system of claim 1, wherein, The index evaluation module includes: An index calculation unit is configured to edit an index evaluation script formula according to a test requirement, and support basic operation, logical judgment and loop judgment functions, to flexibly realize the calculation and analysis of various evaluation indexes. An index discrimination unit is configured to output the index evaluation result to the human-computer interface module, and display the result in real-time curves, provide a recommended judgment according to the index evaluation result, and give a test failure judgment result. A cross-section data recording and indexing unit is configured to record the corresponding historical judgment cross-section data after the test failure judgment result, and generate an index, to facilitate subsequent query and analysis. An index expansion unit is configured to support the analysis of adjustment accuracy discrimination, response time discrimination and economic benefit discrimination indexes, and expand the indexes according to a test requirement, to adapt to different test scenarios and analysis requirements.

7. The microgrid closed-loop cross-validation simulation system of claim 1, wherein, The human-computer interface module includes: A model management unit is configured to newly create and configure the micro-grid resource model and the connection device model of the micro-grid resource and the connection device, and realize the centralized management of the models in the simulation system. A project management unit is configured to manage each simulation project based on the micro-grid resource model and the connection device model, support data configuration of the project, generation of a micro-grid interface topology, and comprehensive management of a project state, and form project data and a topology structure. A project operation test unit is configured to realize real-time operation testing of the project based on the project data and the topology structure, and support real-time data display, curve display, instruction issuing, and historical data indexing functions.

8. The microgrid closed-loop cross-validation simulation system of claim 7, wherein, The curve display includes real-time power display of a grid-connected point and different micro-grid resources, adjustable margin display, and real-time index calculation curve display, so as to facilitate real-time monitoring and control of a system operation state by a user.

9. A microgrid closed-loop cross-validation simulation method, characterized in that, The method for the system of any one of claims 1 to 8 comprises: S10: generating steady-state operation data of micro-grid resources, the micro-grid resources at least including photovoltaic, energy storage, charging piles, adjustable loads, and flexible interconnection devices, and modeling connection devices including busbars, grid-connected points, and switches; S20: automatically generating and updating a micro-grid interface topology diagram according to an association relationship between the micro-grid resources and the connection devices; S30: transmitting real-time data of the micro-grid resources and the connection devices to an external system according to a standard communication protocol, realizing remote monitoring and control, and interacting with external devices; S40: receiving an adjustment control instruction from a client, and adjusting an issuing parameter of the control instruction based on the real-time data; S50: evaluating a control effect based on micro-grid grid-connected point power and other real-time operation data, and analyzing an index of the evaluation to determine a system operation state in real time; S60: providing a visual interactive interface for configuration of the simulation system, real-time data display, and control instruction issuing; S70: recording operation process data of the simulation system, and selecting historical data according to user needs to play back the historical data, so as to display a system operation state in a selected time period, and support review and analysis of the operation process.

10. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method of claim 9.

11. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the method of claim 9.

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