Micro-grid closed-loop cross validation simulation system, method, equipment and medium

Abstract

The invention relates to the technical field of micro-grid simulation, in particular to a micro-grid closed-loop cross validation simulation system, method, device and medium, and the system comprises 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 human-computer interface module and a historical section playback module. The system can simulate steady-state operation characteristics of different types of micro-grid elements, interaction with an external micro-grid energy management system can be realized based on the system, and a closed-loop cross validation test is realized through a master station simulation function of the system; based on the system, simulation of different characteristic resources can be realized, verification of different investment subjects and different user operation targets, micro-grid dynamic aggregation capability verification, distribution and micro cooperation verification and the like can be realized, meanwhile, based on the system, micro-grid group verification can be realized, and a test environment is provided for master station micro-grid group cooperation control.

Description

Technical Field

[0001] The present invention relates to the field of microgrid simulation technology, and in particular to a microgrid closed-loop cross-validation simulation system, method, device and medium. Background Art

[0002] The development of microgrid technology provides a new solution for the access of distributed power sources to the distribution network. Microgrid is a micro energy system that integrates "source-grid-load-storage-charging-flexibility" and has high flexibility and controllability. Through internal regulation, it can effectively make up for the deficiencies of distributed power sources in terms of dispersion, randomness, intermittency and volatility, thereby improving the distribution network's ability to accept distributed renewable energy and solving the safety and stability problems brought about by the access 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 vital role. The system aims at economic optimization, manages the power generation, distribution and consumption of the microgrid system in real time, and analyzes the operation results. Its core functions include power generation forecasting, distributed power management, load management, power generation and consumption planning, statistical analysis, etc., and can respond to the operation control requirements of the master station. The microgrid closed-loop cross-validation simulation system realizes coordinated control with the main distribution network by dynamically aggregating multiple heterogeneous resources, thereby improving the system's operating efficiency and safety.

[0004] However, there are a large number of heterogeneous distributed resources in microgrids with different characteristics. The distributed resource composition of different microgrids is different, and different investment entities have different operating goals, which makes the operation control and analysis and prediction of microgrids complicated and difficult. There is also a lack of flexible and effective testing environment to verify the operation strategy of the microgrid closed-loop cross-validation simulation system. These problems lead to the control strategy of the microgrid closed-loop cross-validation simulation system being simple and poorly adaptable, which cannot meet the needs of different types of microgrids.

[0005] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides a microgrid closed-loop cross-validation simulation system, method, device and medium, thereby effectively solving the problems in the background technology.

[0007] In order to achieve the above-mentioned object, the technical solution adopted by the present invention is: a microgrid closed-loop cross-validation simulation system, including: an underlying data generation module, a topology automatic 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; The underlying data generation module is used to generate steady-state operation data of microgrid resources, the microgrid resources at least including photovoltaics, energy storage, charging piles, adjustable loads and flexible interconnection devices, and modeling the connection equipment, the connection equipment including busbars, grid connection points, and switches; The automatic topology drawing module is used to automatically generate and update the microgrid interface topology map according to the association relationship between the microgrid resources and the connection devices; The communication protocol module is used to transmit the real-time data of the microgrid resources and the connected devices to an external system according to a standard communication protocol, realize remote monitoring and control, and perform data interaction with external devices; The master station control module is used to receive the adjustment control instruction from the client, and adjust the sending parameters of the control instruction based on the real-time data; The index evaluation module is used to evaluate the control effect based on the microgrid grid connection point power and other real-time operation data, and to judge the system operation status in real time through the evaluation index analysis; The human-machine interface module provides a visual interactive interface for configuration of the simulation system, real-time data display and control instruction issuance; The historical 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 the selected time period, and support the review and analysis of the operation process.

[0008] Furthermore, the bottom layer data generation module is used to generate steady-state operation data of microgrid resources, and the steady-state operation data generation method includes: Atypical industrial load data is generated by importing the historical curve of a typical day. When the historical curve is minute-level data, the interpolation method is used to generate data within the second or millisecond interval; Photovoltaic distributed resource data, based on the geographical location and operating time of the microgrid, obtains the irradiance data of the corresponding date and location, and automatically generates the photovoltaic active power data of the day; Energy storage and charging pile data: Based on the user-set operation strategy and charging habits, the charging and discharging start and end time and charging power of the energy storage device or charging pile are configured to generate the corresponding active power data of the energy storage and charging pile; The flexible interconnection device data performs power output under the port capacity constraint according to the control instruction, and generates the power output data of the flexible interconnection device when it meets the actual operation requirements.

[0009] Furthermore, after the microgrid resource receives the remote adjustment or remote control instruction from the microgrid energy management system, the underlying data generation module generates real-time data in combination with the instruction, rather than generating data according to the initial strategy, and the underlying data generation module includes: A 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 result of the comparison to meet the control requirements and command requirements of the current microgrid system; A state calculation unit, used to calculate the state of the microgrid resources according to the real-time power data, equipment capacity and real-time power, and update the energy state data in real time; The data push unit is used to push the real-time power data and the status data to a 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.

[0010] Furthermore, the topology automatic mapping module is used to automatically generate a microgrid interface topology map, and associate the microgrid resources with the connection devices. The topology automatic mapping module includes: An association configuration unit, configured to associate and configure the microgrid resources with the line segment endpoints in the connection device, and to arrange the microgrid resources in layers according to the layout level to automatically generate a layered topology diagram; The grid connection point power merging unit is used to automatically sum the power values ​​of each microgrid resource for the microgrid resources associated with the grid connection point switch by detecting the connection mode between the grid connection point switch and the bus, the on / off state of the section switch, the connection between the microgrid resource and the bus, and the switch position, and associate it with the total power of the grid connection point switch; The real-time correlation and power calculation unit is used to dynamically adjust the correlation relationship of the grid connection point power in combination with the real-time position change of the grid connection point switch, and calculate the power distribution in real time.

[0011] Furthermore, the communication protocol module includes: A standardized point table generating unit, used to generate a standardized point table for the instantiated microgrid resources and the connected devices, and arrange them in sequence to ensure a unified format and transmission order of data to form standardized data; The data sending unit is used to read the data in the time series database in real time based on the normalized data, and send the data to the external system by means of change upload and periodic upload; and is used to respond to the control instructions issued by the microgrid energy management system, forward the control instructions to the corresponding microgrid resources and the connected devices, so as to realize the effective execution of the control instructions and the real-time synchronization of the data.

[0012] Furthermore, the indicator evaluation module includes: The indicator calculation unit is used to edit the indicator evaluation script formula according to the test requirements, and at least supports basic operations, logical judgment and loop judgment functions to flexibly realize the calculation and analysis of various evaluation indicators; An indicator judgment unit, used to output the result of the indicator evaluation to the human-machine interface module, and perform real-time curve display, provide recommended judgment according to the result of the indicator evaluation, and give a test failure judgment result; A section data recording and indexing unit, used to record the corresponding historical judgment section data after the test failure judgment result, and generate an index to facilitate subsequent query and analysis; The indicator expansion unit is used to support the analysis of adjustment accuracy judgment, response time judgment, and economic benefit judgment indicators, and expand indicators according to test requirements to adapt to different test scenarios and analysis requirements.

[0013] Furthermore, the human-machine interface module comprises: A model management unit, used to create and configure the microgrid resource model and the connection device model of the microgrid resource and the connection device, and to realize centralized management of each model in the simulation system; A project management unit, used to manage various simulation projects based on the microgrid resource model and the connection device model, support project data configuration, microgrid interface topology generation and comprehensive management of project status, and form project data and topology structure; The project operation test unit is used to implement real-time operation test of the project based on the project data and the topological structure, and supports real-time data display, curve display, instruction issuance and historical data indexing functions.

[0014] Furthermore, the curve display includes real-time power display of the grid connection point and different microgrid resources, adjustable margin display and real-time indicator calculation curve display, so that users can monitor and control the system operation status in real time.

[0015] The present invention also includes a microgrid closed-loop cross-validation simulation method, further, for the system as described above, the method comprising: S10: Generate steady-state operation data of microgrid resources, where the microgrid resources include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and model the connection devices, where the connection devices include busbars, grid connection points and switches; S20: Automatically generate and update a microgrid interface topology map according to the association relationship between the microgrid resources and the connection devices; S30: According to standard communication protocols, real-time data of the microgrid resources and the connected devices are transmitted to an external system to achieve remote monitoring and control, and to perform data interaction with external devices; S40: receiving an adjustment control instruction from the client, and adjusting the sending parameters of the control instruction based on the real-time data; S50: Evaluate the control effect based on the microgrid grid-connected point power and other real-time operation data, and judge the system operation status in real time through the evaluation index analysis; S60: Provides a visual interactive interface for simulation system configuration, real-time data display, and control command issuance; S70: 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 the selected time period, and support the review and analysis of the operation process.

[0016] The present invention also includes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described above is implemented.

[0017] The present invention also includes a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described above is implemented.

[0018] The beneficial effects of the present invention are: The system can simulate the steady-state operating characteristics of different types of microgrid components. Based on this system, it can interact with the external microgrid energy management system and realize closed-loop cross-validation testing through its own master station simulation function.

[0019] Based on this system, simulation of resources with different characteristics can be realized, operation objectives of different investment entities and users can be verified, dynamic aggregation capability of microgrids can be verified, and distribution-micro collaboration can be verified. At the same time, based on this system, microgrid group verification can be realized, providing a test environment for collaborative control of the main station microgrid group. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a structural diagram of the microgrid closed-loop cross-validation simulation system; Figure 2 A schematic diagram of the structure of the underlying data generation module; Figure 3 It is a schematic diagram of the structure of the topology automatic mapping module; Figure 4 It is a schematic diagram of the structure of the communication protocol and the master station control module; Figure 5 It is a structural diagram of the indicator evaluation module; Figure 6 It is a flowchart of a closed-loop cross-validation simulation method for a microgrid; Figure 7 A schematic diagram of the structure of a computer device. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0023] Embodiment 1: like Figure 1 As shown: A microgrid closed-loop cross-validation simulation system, including: a bottom-level data generation module, a topology automatic 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; 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 model the connected devices, including busbars, grid connection points, switches, etc., to form the underlying data support of the simulation system and provide a real-time data basis for the operation of the simulation system; The topology automatic 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 the grid connection points to reflect the topology changes under the actual operating state, thereby supporting real-time monitoring and simulation analysis needs; The communication protocol module is used to transmit the real-time data of microgrid resources and connected devices to the external system according to the standard communication protocol, realize remote monitoring and control, and interact with external devices to ensure the flexibility and coordination of the system; The master station control module is used to receive the adjustment control instructions from the client and adjust the parameters of the control instructions based on real-time data to achieve steady-state control of microgrid resources and ensure the reliability of the system; The indicator evaluation module is used to evaluate the control effect based on the power of the microgrid grid-connected point and other real-time operation data. The system operation status is judged in real time through the evaluation indicator analysis, providing a basis for optimizing the control strategy; The human-machine interface module provides a visual interactive interface for simulation system configuration, real-time data display, and control command issuance; it supports users to monitor the system operation status and adjust simulation parameters according to actual needs; The historical 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 the selected time period and support the review and analysis of the operation process.

[0024] The system can simulate the steady-state operating characteristics of different types of microgrid components. Based on this system, it can interact with the external microgrid energy management system and realize closed-loop cross-validation testing through its own master station simulation function.

[0025] Based on this system, simulation of resources with different characteristics can be realized, operation objectives of different investment entities and users can be verified, dynamic aggregation capability of microgrids can be verified, and distribution-micro collaboration can be verified. At the same time, based on this system, microgrid group verification can be realized, providing a test environment for collaborative control of the main station microgrid group.

[0026] Through the underlying data generation module and the automatic topology mapping module, the solution can generate steady-state operation data of different microgrid resources (such as photovoltaics, energy storage, charging piles, etc.), and automatically generate and update the microgrid topology map. This function adapts to the problem of distributed resource diversity in microgrids mentioned in the background technology, and can effectively simulate different types of resource characteristics and operation requirements, solving the control and analysis problems caused by the different characteristics of heterogeneous resources.

[0027] The communication protocol module and the master station control module support remote data transmission and real-time control. The communication protocol module can interact 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 instructions within the adjustment margin range, effectively respond to control requirements under different operating objectives, and solve the operation control problems caused by different objectives of different investment entities in the background technology.

[0028] The indicator evaluation module provides a control effect evaluation function based on real-time data, supports real-time judgment of the system operation status, and conducts real-time analysis and judgment of the system operation status and control strategy effects through the set evaluation indicators, helping to optimize the operation control strategy, thereby improving the system's adaptability and operating efficiency, and directly solving the problem of "simple control strategy and poor adaptability" mentioned in the background technology.

[0029] The human-machine interface module supports real-time data display, control command issuance and simulation parameter adjustment through an intuitive visual interactive interface, allowing 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 adaptability and flexibility of the system.

[0030] The historical section playback module supports the recording and playback of system operation process data, and provides users with the system operation status display function within the selected time period, which helps to review and analyze past control and operation effects, and provides data support for optimizing future operation strategies. It solves the problem of lack of flexible testing environment mentioned in the background technology and supports the improvement and perfection of system control strategies.

[0031] Among them, the bottom layer data generation module is used to generate steady-state operation data of microgrid resources. The steady-state operation data generation method includes: Atypical industrial load data: Atypical industrial load data is generated by importing historical curves of typical days. When the historical curve is minute-level data, interpolation method is used to generate data within second-level or millisecond-level intervals to ensure that the time resolution of load data meets the simulation requirements; Photovoltaic distributed resource data, based on the geographical location and operating time of the microgrid, obtains the irradiance data of the corresponding date and location, and automatically generates the photovoltaic active power data of the day to reflect the actual power generation of photovoltaic resources; Energy storage and charging pile data: Based on the user-set operation strategy and charging habits, the charging and discharging start and end time and charging power of the energy storage device or charging pile are configured to generate the corresponding active power data of the energy storage and charging pile, thereby simulating the operation status of the energy storage and charging pile under different loads and demands; The flexible interconnection device data outputs power under the port capacity constraint according to the control instructions, and generates power output data of the flexible interconnection device in accordance with the actual operation requirements to ensure that the flexible interconnection device meets the load and scheduling requirements of the system during the connection and coordination process.

[0032] By importing historical curves and using interpolation methods to generate atypical industrial load data with different time resolutions (such as seconds or milliseconds), the system can simulate finer-grained power load changes and provide more realistic and higher-precision simulation results. It helps to better predict load fluctuations and system responses and improve 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 actual operating conditions of energy storage systems and charging piles can be simulated according to 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 and improve the adaptability and reliability of the simulation system; through the constraints of control instructions and port capacity, the power output of the flexible interconnected device is ensured to meet the actual operating requirements during the simulation process, which can help the microgrid to reasonably dispatch energy in a variety of complex interconnected scenarios and ensure the stability and coordination of the system under different operating conditions; by dynamically generating real-time data of various microgrid resources and conducting system simulation based on this, it can realize real-time monitoring and analysis of the microgrid system status, timely identify potential problems or operating deviations, and help optimize the microgrid's operating strategy and control measures to ensure long-term stable and reliable operation of the system.

[0033] The underlying data module of microgrid resource modeling is abstractly modeled as needed, generally including the following basic attributes: 1) Telemetry: equipment capacity, real-time power, SOC, adjustable upper limit, adjustable lower limit, maximum charging time, maximum discharging time, etc.; 2) Remote signaling: start-up status, shutdown status, fault status, communication interruption, etc.; 3) Remote control: start and stop; 4) Remote adjustment: power adjustment instructions.

[0034] The basic properties of connected device modeling are as follows: 1) Endpoints of line segments; 2) Switch on and off; 3) Layout hierarchy.

[0035] As a preferred embodiment of the above, after the microgrid resources receive the remote adjustment or remote control command from the microgrid energy management system, the underlying data generation module generates real-time data in combination with the command, rather than generating data according to the initial strategy, such as Figure 2 As shown, the underlying data generation module includes: 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 requirements and command requirements of the current microgrid system, thereby ensuring the real-time response capability and power regulation accuracy of the system; The state calculation (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, and update the energy status data in real time to ensure accurate reflection of the actual operation of resources and support real-time control and decision optimization; The data push unit is used to push real-time power data and 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.

[0036] The real-time power output unit dynamically adjusts the power output based on the comparison between the remote control or remote control command and the real-time data curve to ensure the real-time response of the microgrid system to the control command, so that the system can flexibly adjust its power output according to different dispatching commands, ensuring that the grid load changes and resource dispatching requirements are met in real time and accurately, thereby improving the response speed and control accuracy of the microgrid system.

[0037] The state calculation unit (SOC) accurately calculates the state of microgrid resources (SOC) by combining real-time power data, equipment capacity and real-time power, ensuring real-time update and accurate reflection of energy status. This function can monitor the charging and discharging status of battery energy storage devices and other resources in real time, thereby providing accurate energy status information for the operation and scheduling of the microgrid; Through the data push unit, real-time power data and status data are pushed to the time series database to support 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.

[0038] In this embodiment, if Figure 3 As shown, the topology automatic drawing module is used to automatically generate a microgrid interface topology map and associate the microgrid resources with the connected devices. The topology automatic drawing module includes: An association configuration unit is used to associate and configure the microgrid resources with the line segment endpoints in the connection device, and arrange the microgrid resources in layers according to the layout level to automatically generate a layered topology diagram to ensure that the relationship between the microgrid resources and the connection devices is clear and reasonable, which is convenient for subsequent simulation analysis and control; The grid connection point power merging unit is used to automatically sum the power values ​​of each microgrid resource for the microgrid resources associated with the grid connection point switch by detecting the connection mode between the grid connection point switch and the bus, the on / off state of the section switch, the connection between the microgrid resource and the bus, and the switch position, and associate it with the total power of the grid connection point switch; The real-time correlation and power calculation unit is used to dynamically adjust the correlation relationship of the grid connection point power in combination with the real-time position changes of the grid connection point switch, and calculate the power distribution in real time to ensure that the topology diagram can accurately reflect the current operating status and power distribution changes of the microgrid, support real-time monitoring and analysis, and improve the dynamic response capability and simulation accuracy of the microgrid.

[0039] The automatic update of the topology map and the real-time calculation of power merging provide an accurate data basis for the system. Real-time power calculation and monitoring of distribution changes enable the microgrid to perform more efficient simulation analysis, optimize operation strategies, and provide decision support. Through continuous data updates, users can adjust control strategies based on real-time data and optimize the operating efficiency of the microgrid.

[0040] Among them, Figure 4 As shown, the communication protocol module includes: The standardized point table generation unit is used to generate a standardized point table for instantiated microgrid resources and connected devices, and arrange them in order to ensure the unified format and transmission order of data, form standardized data, and thus provide a standardized basis for subsequent data transmission, ensuring data consistency and efficiency; The data sending unit is used to read the data in the time series database in real time based on the normalized data, and send the data to the external system by means of change upload and periodic upload; and is used to respond to the control instructions issued by the microgrid energy management system, forward the control instructions to the corresponding microgrid resources and connected devices, so as to realize the effective execution of the control instructions and the real-time synchronization of the data.

[0041] Through the standardized point table generation unit, the relevant data of the instantiated microgrid resources and connected devices are converted into standardized data in a unified format, ensuring the unified format and transmission order of the data, and providing a stable foundation for subsequent transmission; the data sending unit uploads the data in the microgrid system to the external system in a timely manner through real-time reading and periodic sending based on standardized data. Through the method of variable upload and periodic upload, the real-time data of the microgrid can be efficiently transmitted in different time periods, meeting the needs of real-time monitoring and scheduling.

[0042] As a preferred embodiment of the above, Figure 5 As shown in the figure, the indicator evaluation module includes: The indicator calculation unit is used to edit the indicator evaluation script formula according to the test requirements, and at least supports basic operations, logical judgments, and loop judgments, so as to flexibly realize the calculation and analysis of various evaluation indicators and meet the indicator evaluation of different test requirements; The indicator discrimination unit is used to output the results of the indicator evaluation to the human-machine interface module and display the real-time curve. It provides recommended judgments based on the results of the indicator evaluation and gives the test failure judgment results, so that users can intuitively monitor the control effect, thereby realizing real-time analysis and feedback of the microgrid operation status; The section data recording and indexing unit is used to record the corresponding historical judgment section data after the test failure judgment result is determined, and generate an index to facilitate subsequent query and analysis, providing data support for system fault analysis and optimization; The indicator expansion unit is used to support the analysis of indicators such as adjustment accuracy judgment, response time judgment, and economic benefit judgment, and expand indicators according to test requirements to adapt to different test scenarios and analysis requirements.

[0043] The indicator calculation unit supports basic operations, logical judgments, and loop judgments. Users can edit customized indicator evaluation script formulas according to test requirements to achieve flexible calculation and analysis of multiple indicators. The flexibility enables the system to adapt to different test scenarios and complex evaluation requirements. The indicator calculation unit supports basic operations, logical judgments, and loop judgments. Users can edit customized indicator evaluation script formulas according to test requirements to achieve flexible calculation and analysis of multiple indicators. The flexibility enables the system to adapt to different test scenarios and complex evaluation requirements. The section data recording and indexing unit automatically records the corresponding section data and generates an index when the system has a test failure or other abnormal judgment. The automated recording and indexing function facilitates subsequent user queries and analysis, especially in fault analysis and system optimization, and can provide reliable data support.

[0044] In this embodiment, the human-machine interface module includes: Model management unit, used to create and configure microgrid resource models and connected device models of microgrid resources and connected devices, and realize centralized management of various models in the simulation system, providing a unified modeling and management platform for microgrid resources and devices, ensuring the uniformity and operability of the model; The project management unit is used to manage various simulation projects based on the microgrid resource model and the connection device model, support the project data configuration, microgrid interface topology generation and comprehensive management of project status, form project data and topology structure, provide full-process management for different simulation projects, and ensure the correct configuration and real-time update of project data, topology structure and status; The project operation test unit is used to implement real-time operation testing of the project based on project data and topological structure. It supports functions such as real-time data display, curve display, command issuance and historical data indexing to ensure the real-time and comprehensiveness of project testing, and facilitate users to monitor the system's operating status, analyze data and schedule control.

[0045] The model management unit can create and configure models of microgrid resources and connected devices by providing a unified modeling platform. The system supports centralized management of all microgrid resources and devices, thereby ensuring the consistency and operability of the model and reducing errors and complexity that may be caused by model inconsistencies.

[0046] The project management unit provides flexible data configuration and topology generation capabilities for each simulation project by performing project management based on resource models and connection device models. Whether in project initialization, data configuration, or real-time updating of project status, the project management unit can efficiently coordinate resources and equipment to ensure the smooth progress of each simulation project.

[0047] The project operation test unit realizes the real-time operation test of the project, and can display project data, curve graphics and historical data index in real time, so that users can monitor the operation status of the microgrid in real time, analyze the test results, and make adjustments or optimizations based on real-time data.

[0048] As a preferred embodiment of the above embodiment, the curve display includes real-time power display of the grid connection point and different microgrid resources, adjustable margin display and real-time indicator calculation curve display, so that users can monitor and control the system operation status in real time.

[0049] By displaying the power output of the grid connection points 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 each microgrid resource, facilitating overall monitoring and timely detection of abnormalities.

[0050] By importing typical curves and configuring typical parameters, basic steady-state operation data is generated to generate a microgrid underlying simulation system for steady-state operation. This simplifies the complex microgrid simulation logic and meets the cross-validation test requirements between the microgrid and the microgrid energy management system, which has good engineering application value.

[0051] The present invention also includes a microgrid closed-loop cross-validation simulation method, which is used in the above-mentioned system, such as Figure 6 As shown, the method includes: S10: Generate steady-state operation data of microgrid resources, where the microgrid resources include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and model the connected devices, where the connected devices include busbars, grid connection points and switches; S20: Automatically generate and update a microgrid interface topology map according to the association between microgrid resources and connected devices; S30: According to standard communication protocols, real-time data of microgrid resources and connected devices are transmitted to external systems to achieve remote monitoring and control, and data interaction with external devices; S40: receiving an adjustment control instruction from the client, and adjusting the sending parameters of the control instruction based on the real-time data; S50: Evaluate the control effect based on the power of the microgrid connection point and other real-time operation data, and judge the system operation status in real time through evaluation index analysis; S60: Provides a visual interactive interface for simulation system configuration, real-time data display, and control command issuance; S70: 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 the selected time period, and support the review and analysis of the operation process.

[0052] See also Figure 7 A computer device 400 provided in an embodiment of the present application includes: a processor 410 and a memory 420, wherein the memory 420 stores a computer program executable by the processor 410, and when the computer program is executed by the processor 410, the above method is executed.

[0053] The embodiment of the present application further provides a storage medium 430 on which a computer program is stored. When the computer program is run by the processor 410, the above method is executed.

[0054] Among them, 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, disk or optical disk.

[0055] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0056] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations 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 one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0058] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0059] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0060] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0061] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0062] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A microgrid closed-loop cross-validation simulation system, characterized in that: include: Bottom-layer data generation module, topology automatic mapping module, communication protocol module, master station control module, index evaluation module, human-computer interface module and historical section playback module; The underlying data generation module is used to generate steady-state operation data of microgrid resources, the microgrid resources at least including photovoltaics, energy storage, charging piles, adjustable loads and flexible interconnection devices, and modeling the connection equipment, the connection equipment including busbars, grid connection points, and switches; The automatic topology drawing module is used to automatically generate and update the microgrid interface topology map according to the association relationship between the microgrid resources and the connection devices; The communication protocol module is used to transmit the real-time data of the microgrid resources and the connected devices to an external system according to a standard communication protocol, realize remote monitoring and control, and perform data interaction with external devices; The master station control module is used to receive the adjustment control instruction from the client, and adjust the sending parameters of the control instruction based on the real-time data; The index evaluation module is used to evaluate the control effect based on the microgrid grid connection point power and other real-time operation data, and to judge the system operation status in real time through the evaluation index analysis; The human-machine interface module provides a visual interactive interface for simulation system configuration, real-time data display and control instruction issuance; The historical 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 the selected time period, and support the review and analysis of the operation process.

2. The microgrid closed-loop cross-validation simulation system according to claim 1, characterized in that: The bottom layer data generation module is used to generate steady-state operation data of microgrid resources, and the steady-state operation data generation method includes: Atypical industrial load data is generated by importing the historical curve of a typical day. When the historical curve is minute-level data, the interpolation method is used to generate data within the second or millisecond interval; Photovoltaic distributed resource data, based on the geographical location and operating time of the microgrid, obtains the irradiance data of the corresponding date and location, and automatically generates the photovoltaic active power data of the day; Energy storage and charging pile data: Based on the user-set operation strategy and charging habits, the charging and discharging start and end time and charging power of the energy storage device or charging pile are configured to generate the corresponding active power data of the energy storage and charging pile; The flexible interconnection device data performs power output under the port capacity constraint according to the control instruction, and generates the power output data of the flexible interconnection device in accordance with the actual operation requirements.

3. The microgrid closed-loop cross-validation simulation system according to claim 1, characterized in that: After the microgrid resource receives the remote adjustment or remote control instruction from the microgrid energy management system, the underlying data generation module generates real-time data in combination with the instruction, rather than generating data according to the initial strategy. The underlying data generation module includes: A 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 result of the comparison to meet the control requirements and command requirements of the current microgrid system; A state calculation unit, used to calculate the state of the microgrid resources according to the real-time power data, equipment capacity and real-time power, and update the energy state data in real time; The data push unit is used to push the real-time power data and the status data to a 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.

4. The microgrid closed-loop cross-validation simulation system according to claim 1, characterized in that: The topology automatic mapping module is used to automatically generate a microgrid interface topology map and associate the microgrid resources with the connection devices. The topology automatic mapping module includes: An association configuration unit, configured to associate and configure the microgrid resources with the line segment endpoints in the connection device, and to arrange the microgrid resources in layers according to the layout level to automatically generate a layered topology diagram; The grid connection point power merging unit is used to automatically sum the power values ​​of each microgrid resource for the microgrid resources associated with the grid connection point switch by detecting the connection mode between the grid connection point switch and the bus, the on / off state of the section switch, the connection between the microgrid resource and the bus, and the switch position, and associate it with the total power of the grid connection point switch; The real-time correlation and power calculation unit is used to dynamically adjust the correlation relationship of the grid connection point power in combination with the real-time position change of the grid connection point switch, and calculate the power distribution in real time.

5. The microgrid closed-loop cross-validation simulation system according to claim 1, characterized in that: The communication protocol module includes: A standardized point table generating unit, used to generate a standardized point table for the instantiated microgrid resources and the connected devices, and arrange them in sequence to ensure a unified format and transmission order of data to form standardized data; The data sending unit is used to read the data in the time series database in real time based on the normalized data, and send the data to the external system by means of change upload and periodic upload; and is used to respond to the control instructions issued by the microgrid energy management system, forward the control instructions to the corresponding microgrid resources and the connected devices, so as to realize the effective execution of the control instructions and the real-time synchronization of the data.

6. The microgrid closed-loop cross-validation simulation system according to claim 1, characterized in that: The indicator evaluation module includes: The indicator calculation unit is used to edit the indicator evaluation script formula according to the test requirements, and at least supports basic operations, logical judgment and loop judgment functions to flexibly realize the calculation and analysis of various evaluation indicators; An indicator judgment unit, used to output the result of the indicator evaluation to the human-machine interface module, and perform real-time curve display, provide recommended judgment according to the result of the indicator evaluation, and give a test failure judgment result; A section data recording and indexing unit, used to record the corresponding historical judgment section data after the test failure judgment result, and generate an index to facilitate subsequent query and analysis; The indicator expansion unit is used to support the analysis of adjustment accuracy judgment, response time judgment, and economic benefit judgment indicators, and expand indicators according to test requirements to adapt to different test scenarios and analysis requirements.

7. The microgrid closed-loop cross-validation simulation system according to claim 1, characterized in that: The human-machine interface module comprises: A model management unit, used to create and configure the microgrid resource model and the connection device model of the microgrid resource and the connection device, and to realize centralized management of each model in the simulation system; A project management unit, used to manage various simulation projects based on the microgrid resource model and the connection device model, support project data configuration, microgrid interface topology generation and comprehensive management of project status, and form project data and topology structure; The project operation test unit is used to implement real-time operation test of the project based on the project data and the topological structure, and supports real-time data display, curve display, instruction issuance and historical data indexing functions.

8. The microgrid closed-loop cross-validation simulation system according to claim 7, characterized in that: The curve display includes real-time power display of the grid connection point and different microgrid resources, adjustable margin display and real-time index calculation curve display, so that users can monitor and control the system operation status in real time.

9. A microgrid closed-loop cross-validation simulation method, characterized in that: For use in a system as claimed in any one of claims 1 to 8, the method comprising: S10: Generate steady-state operation data of microgrid resources, where the microgrid resources include at least photovoltaic, energy storage, charging piles, adjustable loads and flexible interconnection devices, and model the connection devices, where the connection devices include busbars, grid connection points and switches; S20: Automatically generate and update a microgrid interface topology map according to the association relationship between the microgrid resources and the connection devices; S30: According to standard communication protocols, real-time data of the microgrid resources and the connected devices are transmitted to an external system to achieve remote monitoring and control, and to perform data interaction with external devices; S40: receiving an adjustment control instruction from the client, and adjusting the sending parameters of the control instruction based on the real-time data; S50: Evaluate the control effect based on the microgrid grid-connected point power and other real-time operation data, and judge the system operation status in real time through the evaluation index analysis; S60: Provides a visual interactive interface for simulation system configuration, real-time data display, and control command issuance; S70: 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 the selected time period, and support the review and analysis of the operation process.

10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to claim 9 is implemented.

11. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to claim 9 is implemented.

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