Large power grid analysis and verification system based on off-line simulation and mapping system closed loop

Abstract

The invention discloses a large power grid analysis and verification system and method based on off-line simulation and a mapping system closed loop, and the system comprises a simulation data access unit which is used for obtaining simulation measurement data based on simulation software, and providing steady / dynamic measurement data for the system through streaming data processing after data high-speed buffering; the real-time mapping power grid unit is used for acquiring the steady-state / dynamic measurement data according to a preset window acquisition time period and processing missing measurement point measurement data so as to form real-time data which can be used for analysis and calculation; the mapping model synchronous evolution unit is used for forming generalized dynamic power flow based on the real-time data so as to form a power grid mapping and realize synchronous evolution of a power grid mapping model and an actual power grid; and the intelligent analysis unit is used for calculating stability characteristics and identifying stability based on the real-time power grid image, generating a control strategy and sending the control strategy to simulation software for closed-loop control.

Description

Technical Field

[0001] The present invention relates to the technical field of power system simulation calculation and power grid operation analysis, and more specifically, to a large power grid analysis verification system and method based on off-line simulation and image system closed loop. Background Art

[0002] The development and continuation of the physical power grid and the upgrading and replacement of power grid analysis methods are inseparable, mutually reinforcing and evolving together. Accurately, quickly and comprehensively reflecting the characteristics of the ever-changing objective physical power grid is the breakthrough direction of power grid analysis tools. For a long time, with the expansion of the scale of the power grid and the increase in dynamic components, traditional dynamic simulation, digital simulation and other technologies have continued to improve, supporting the development needs of the power grid.

[0003] At present, with the large-scale grid connection of new energy and the prominent characteristics of power electronics in power systems, the uncertainty of power grid operation and the complexity of dynamic behavior are facing unprecedented changes. The traditional simulation-based plan-based power grid analysis method faces problems such as the lagging simulation model update speed, slow simulation analysis speed, and low intelligence level of analysis means, which will seriously restrict the ability of power grid analysis and operation personnel to understand and control the power grid. In order to cope with this problem, it is necessary to establish a new power grid operation analysis system, establish simulation analysis means and decision-making methods based on simulation data, and realize "real-time calculation and real-time analysis" to quickly change the operation boundary, adjust the operation mode, and even control the disturbance in real time. Summary of the invention

[0004] The present invention proposes a large power grid analysis and verification system and method based on off-line simulation and closed-loop imaging system to solve the problem of how to analyze the safety and stability of power grid operation.

[0005] In order to solve the above problems, according to one aspect of the present invention, a large power grid analysis and verification system based on offline simulation and image system closed loop is provided, the system comprising: a simulation data access unit, a real-time image grid unit, an image model synchronous evolution unit and an intelligent analysis unit; wherein,

[0006] The simulation data access unit is connected to the real-time image power grid unit and is used to obtain simulation measurement data based on the simulation software, and after data high-speed buffering, provide steady-state / dynamic measurement data for the system through streaming data processing;

[0007] The real-time imaging power grid unit is connected to the imaging model synchronous evolution unit and the response analysis unit respectively, and is used to collect the steady-state / dynamic measurement data according to a preset window collection time period, and process the missing measurement point measurement data to form real-time data that can be used for analysis and calculation;

[0008] The image model synchronous evolution unit is used to form a generalized dynamic power flow based on the real-time data to form a power grid image, so as to achieve synchronous evolution of the power grid image model and the actual power grid;

[0009] The intelligent analysis unit is used to calculate stability characteristics and identify stability based on real-time power grid images and generate control strategies, and send the control strategies to simulation software for closed-loop control.

[0010] Preferably, the simulation software is used to simulate and output PMU and RTU measurement information, and the output time interval is a step of 10ms / 1ms.

[0011] Preferably, the simulation data access unit comprises: a simulation data receiving module, a simulation data processing module, a simulation data data storage module, an image model event message publishing module and a control strategy real-time interaction module; wherein,

[0012] The simulation data receiving module is used to receive simulation data in real time, parse the data and store them in the cache in sequence; the simulation data processing module takes data from the cache in sequence, classifies, sorts and searches the data to form measurement data that conforms to the format of the real-time image power grid;

[0013] The simulation data data storage module is used to connect to the distributed relational database and store the measurement data in the distributed relational database in sequence;

[0014] The image model event message publishing module is used to obtain specific information related to the stored data and combine it into an image model event and publish it to the message middleware;

[0015] The control strategy real-time interaction module is used to subscribe to the message middleware to obtain the control strategy in real time, and send it back to the simulation software through the simulation software control strategy interaction interface.

[0016] Preferably, the real-time imaging power grid unit is further used for:

[0017] The real-time data is stored in a distributed relational database.

[0018] Preferably, the intelligent analysis unit comprises: an image model event message processing module, an image model data reading module, an analysis and calculation submodule, a calculation result data storage module and a control strategy sending module;

[0019] The image model event message processing module is used to subscribe to the image model event from the message middleware and parse the image model data identifier therefrom;

[0020] The image model data reading module is used to connect to the distributed relational database and read the image model data of the specified identifier;

[0021] The analysis and calculation submodule is used to extract the data structure required for analysis and calculation from the image model data, perform algorithm analysis, generate calculation results, calculate power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators and generate control strategies;

[0022] The calculation result data storage module is used to connect to the distributed relational database and store the intelligent analysis calculation results in the distributed relational database;

[0023] The control strategy sending module is used to publish the generated control strategy to the message middleware.

[0024] According to another aspect of the present invention, a large power grid analysis and verification method based on offline simulation and image system closed loop is provided, the method comprising:

[0025] The simulation data access unit is used to obtain simulation measurement data based on the simulation software. After data high-speed buffering, the system is provided with steady-state / dynamic measurement data through streaming data processing.

[0026] Using a real-time imaging power grid unit, the steady-state / dynamic measurement data is collected according to a preset window collection time period, and the missing measurement point measurement data is processed to form real-time data that can be used for analysis and calculation;

[0027] Using an image model synchronous evolution unit, a generalized dynamic power flow is formed based on the real-time data to form a power grid image, thereby achieving synchronous evolution of the power grid image model and the actual power grid;

[0028] The intelligent analysis unit is used to calculate stability characteristics and identify stability based on real-time power grid images and generate control strategies, which are then sent to simulation software for closed-loop control.

[0029] Preferably, the method further comprises:

[0030] The simulation software is used to simulate the output of PMU and RTU measurement information, with the output time interval being a step of 10ms / 1ms.

[0031] Preferably, the method further comprises:

[0032] The simulation data receiving module in the simulation data access unit is used to receive the simulation data in real time, and the data is analyzed and stored in the cache in sequence; the simulation data processing module sequentially takes the data from the cache, classifies, sorts and searches the data, and forms the measurement data in accordance with the format of the real-time image power grid;

[0033] Utilize the simulation data data storage module in the simulation data access unit to connect to the distributed relational database, and store the measurement data in the distributed relational database in sequence;

[0034] Utilize the image model event message publishing module in the simulation data access unit to obtain specific information related to the stored data and combine it into an image model event to publish to the message middleware;

[0035] By utilizing the control strategy real-time interaction module in the simulation data access unit, the message middleware is subscribed to obtain the control strategy in real time, and the control strategy is sent back to the simulation software through the simulation software control strategy interaction interface.

[0036] Preferably, the method further comprises:

[0037] The real-time data is stored in a distributed relational database using a real-time imaging power grid unit.

[0038] Preferably, the method further comprises:

[0039] Using the image model event message processing module in the intelligent analysis unit, subscribing to the image model event from the message middleware, and parsing the image model data identifier therefrom;

[0040] Using the image model data reading module in the intelligent analysis unit, connecting to the distributed relational database, and reading the image model data of the specified identifier;

[0041] Utilize the analysis and calculation submodule in the intelligent analysis unit to extract the data structure required for analysis and calculation from the image model data, perform algorithm analysis, generate calculation results, calculate the power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators, and generate control strategies;

[0042] Utilize the calculation result data storage module in the intelligent analysis unit to connect to the distributed relational database and store the intelligent analysis calculation results in the distributed relational database;

[0043] The generated control strategy is published to the message middleware using the control strategy sending module in the intelligent analysis unit.

[0044] The present invention provides a large power grid analysis and verification system and method based on offline simulation and closed-loop imaging system, comprising: a simulation data access unit, used to obtain simulation measurement data based on simulation software, and after data high-speed caching, provide the system with steady-state / dynamic measurement data through streaming data processing; a real-time imaging power grid unit, used to collect the steady-state / dynamic measurement data according to a preset window collection time period, and process the missing measurement point measurement data to form real-time data that can be used for analysis and calculation; an imaging model synchronous evolution unit, used to form a generalized dynamic power flow based on the real-time data to form a power grid image, and realize the synchronous evolution of the power grid image model and the actual power grid; an intelligent analysis unit, used to calculate stability characteristics and identify stability and generate a control strategy based on the real-time power grid image, and send the control strategy to the simulation software for closed-loop control. As a laboratory verification system for a large power grid imaging model, the present invention is oriented to the control and operation analysis scenarios, accesses the power grid simulation software data, and can continuously and rapidly generate dynamically changing full-grid operation information at the millisecond level. It is used for analysis and decision-making scenarios such as frequency stability judgment and control, power angle stability judgment and control, voltage stability judgment and control, new energy short-circuit ratio stability judgment and control, and wide-band oscillation stability judgment and control. It can continuously and rapidly analyze the system disturbances and oscillations that occur, calculate stability characteristics, identify stability and provide control strategies, analyze and verify the safety and stability of the power grid operation, and provide technical support for the safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0046] Figure 1 It is a structural schematic diagram of a large power grid analysis and verification system 100 based on an offline simulation and image system closed loop according to an embodiment of the present invention;

[0047] Figure 2 It is a diagram of the architecture of a large power grid image model laboratory verification system according to an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of a real-time interactive interface for a stabilization control strategy according to an embodiment of the present invention;

[0049] Figure 4 A schematic diagram of data interaction of a simulation data access unit according to an embodiment of the present invention;

[0050] Figure 5 A schematic diagram of data interaction of an intelligent analysis unit according to an embodiment of the present invention;

[0051] Figure 6 Flow chart of a large power grid analysis and verification method 600 based on offline simulation and image system closed loop according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0053] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0054] The present invention focuses on solving the problems faced by traditional simulation-based plan-based power grid analysis methods, such as the lagging simulation model update speed, slow simulation analysis speed, and low intelligence level of analysis means. It realizes disturbance control during the simulation calculation process and analyzes and verifies the safety and stability of power grid operation.

[0055] Figure 1 FIG. 1 is a schematic diagram of a large power grid analysis and verification system 100 based on an offline simulation and image system closed loop according to an embodiment of the present invention. Figure 1 As shown, the large power grid analysis and verification system based on offline simulation and closed loop of image system provided by the embodiment of the present invention is a large power grid image model laboratory verification system. It is oriented to the control operation analysis scenario, accesses the power grid simulation software data, and can continuously and rapidly generate dynamic network operation information of the whole network at the level of 100 milliseconds, which is used for analysis and decision-making scenarios such as frequency stability judgment and control, power angle stability judgment and control, voltage stability judgment and control, new energy short-circuit ratio stability judgment and control, and wide-band oscillation stability judgment and control. It can continuously and rapidly analyze the system disturbance and oscillation that occur, calculate the stability characteristics, identify the stability and give the control strategy, analyze and verify the safety and stability of the power grid operation, and provide technical support for the safe and stable operation of the power grid. The large power grid analysis and verification system 100 based on offline simulation and closed loop of image system provided by the embodiment of the present invention includes: a simulation data access unit 101, a real-time image grid unit 102, an image model synchronous evolution unit 103, and an intelligent analysis unit 104.

[0056] Preferably, the simulation data access unit 101 is connected to the real-time imaging power grid unit, and is used to obtain simulation measurement data based on simulation software, and after data high-speed caching, provide steady-state / dynamic measurement data to the system through streaming data processing.

[0057] Preferably, the simulation software is used to simulate and output PMU and RTU measurement information, and the output time interval is a step of 10ms / 1ms.

[0058] Preferably, the simulation data access unit 101 includes: a simulation data receiving module, a simulation data processing module, a simulation data data storage module, an image model event message publishing module and a control strategy real-time interaction module; wherein,

[0059] The simulation data receiving module is used to receive simulation data in real time, parse the data and store them in the cache in sequence; the simulation data processing module takes data from the cache in sequence, classifies, sorts and searches the data to form measurement data that conforms to the format of the real-time image power grid;

[0060] The simulation data data storage module is used to connect to the distributed relational database and store the measurement data in the distributed relational database in sequence;

[0061] The image model event message publishing module is used to obtain specific information related to the stored data and combine it into an image model event and publish it to the message middleware;

[0062] The control strategy real-time interaction module is used to subscribe to the message middleware to obtain the control strategy in real time, and send it back to the simulation software through the simulation software control strategy interaction interface.

[0063] Preferably, the real-time imaging power grid unit is further used for:

[0064] The real-time data is stored in a distributed relational database.

[0065] Combination Figure 2 As shown, in the present invention, the large power grid safety and stability analysis and verification system based on offline simulation and closed-loop imaging system, as a large power grid imaging model laboratory verification system, is oriented to the control operation analysis scenario, accesses the power grid simulation software data, simulates the actual power grid data, and outputs the measurement data in real time. The imaging model system receives the real-time measurement information and synchronizes the imaging model. Each advanced application algorithm is based on the imaging model to perform stability judgment and generate a control strategy. The control strategy is sent back to the simulation software, and the simulation software receives the control strategy and acts on the simulation process to form a closed-loop operation. The architecture of the laboratory verification system is divided into the following four parts: simulation data access, real-time imaging power grid, synchronous evolution of imaging model and intelligent analysis. The intelligent analysis includes response-driven analysis, response-driven control strategy generation and intelligent enhancement analysis.

[0066] In the present invention, the simulation data access unit is connected to the simulation software. The simulation software starts the simulation and simulates and outputs the PMU and RTU measurement information. The simulation software outputs the effective value, and the time interval is 10ms / 1ms per step. The simulation data access unit obtains the simulation measurement data in real time through the socket, and after the data is cached at a high speed, it provides high-quality steady-state / dynamic data services for the large power grid imaging system through streaming data processing.

[0067] The simulation program has designed and implemented the real-time output interface of the power grid state quantity, the pause and start recalculation interface, the calculation speed control interface and the real-time interactive interface of the control strategy during the simulation process. Through this interface, the control strategy can be updated at a specified time during the simulation process. The simulation program initializes the new control strategy and takes effect according to its settings. Its real-time interactive interface is as follows Figure 3 shown.

[0068] Specifically, the simulation software starts the simulation, simulates the output of PMU and RTU measurement information, and outputs the measurement data in real time (each simulation step) through the socket. At each output step, it monitors whether there is a pause signal. If a pause signal is detected, the simulation is paused, the pause status is fed back, and the simulation continues to be monitored. If a signal to continue the simulation is detected, the control strategy is read, and the machine and load are cut according to the strategy. After the operation is completed, the simulation continues.

[0069] When accessing simulation data, the data access program obtains measurement data instantly through the socket, and parses the received simulation data in accordance with the agreed format in a multi-threaded manner to form measurement data that conforms to the real-time image power grid format, stores it in the distributed relational database, and constructs image model event messages, publishes them to the message middleware, and subscribes to the message middleware to instantly obtain control strategy messages and send them back to the simulation software. Its structure is as follows: Figure 4 In the present invention, the simulation data access unit is mainly composed of a simulation data receiving module, a simulation data processing module, a simulation data data storage module, an image model event message publishing module and a control strategy real-time interaction module.

[0070] Among them, the simulation data receiving module receives the simulation data in real time, parses the data and stores it in the cache in sequence; the simulation data processing module takes data from the cache in sequence, classifies, sorts and searches the data to form measurement data that conforms to the real-time image power grid format; the simulation data data storage module is responsible for connecting to the distributed relational database and storing the real-time data that conforms to the real-time image power grid format in the distributed relational database in sequence; the image model event message publishing module obtains the timestamp and other specific information of the stored data and combines it into an image model event and publishes it to the message middleware; the control strategy real-time interaction module subscribes to the message middleware to obtain the control strategy in real time, and sends it back to the simulation software through the simulation software control strategy interaction interface.

[0071] The simulation data access obtains the 500 kV and part of the new energy transmission branch current of the entire network through the socket, and the relevant bus voltage and new energy unit power data are converted into a data structure that conforms to the real-time image power grid format, mainly including node operation status, AC line operation status, transformer operation status, synchronous generator operation status, load operation status. The structure examples are shown in Table 1, Table 2, Table 3, Table 4, and Table 5.

[0072] Table 1 Node running status

[0073]

[0074]

[0075] Table 2 AC line operation status

[0076]

[0077] Table 3 Transformer operating status

[0078]

[0079] Table 4 Synchronous generator operating status

[0080] Data Item Data Types Field meaning illustrate generatorID Long integer Generator No. Associate Generator.ID time time Status Time The time when the current state occurred p Floating point Active output(MW) From simulation results or measurements q Floating point Reactive power output (Mvar) From simulation results or measurements nodeName String Node Name IDName Character Generator Name

[0081] Table 5 Load operation status

[0082] Data Item Data Types Field meaning illustrate loadID Long integer Load No. Associate Load.ID time time Status Time The time when the current state occurred p Floating point Load active power (MW) From simulation results or measurements q Floating point Load reactive power (Mvar) From simulation results or measurements IDName Character Load Name

[0083] Preferably, the real-time imaging power grid unit 102 is respectively connected to the imaging model synchronous evolution unit and the response analysis unit, and is used to collect the steady-state / dynamic measurement data according to a preset window collection time period, and process the missing measurement point measurement data to form real-time data that can be used for analysis and calculation.

[0084] In the present invention, the imaging power grid functional module unit obtains all the steady-state / dynamic measurement data with timing characteristics that continuously flow in from the simulation software access unit flow data processing results, determines the data collection time period according to a predetermined window, processes the missing measurement point measurement data, forms continuous time period data that can be used for analysis and calculation, and stores them in a distributed relational database.

[0085] Preferably, the image model synchronous evolution unit 103 is used to form a generalized dynamic power flow based on the real-time data to form a power grid image, thereby achieving synchronous evolution of the power grid image model and the actual power grid.

[0086] In the present invention, the image model synchronous evolution functional unit uses methods such as fast observable calculation to deal with problems such as measurement clock asynchrony, incomplete measurement points, data contamination errors, etc., quickly forms a generalized dynamic flow, quickly forms a power grid image, and realizes the synchronous evolution of the power grid image model and the actual power grid.

[0087] Preferably, the intelligent analysis unit 104 is used to calculate stability characteristics and identify stability based on the real-time power grid image and generate a control strategy, and send the control strategy to the simulation software for closed-loop control.

[0088] Preferably, the intelligent analysis unit comprises: an image model event message processing module, an image model data reading module, an analysis and calculation submodule, a calculation result data storage module and a control strategy sending module;

[0089] The image model event message processing module is used to subscribe to the image model event from the message middleware and parse the image model data identifier therefrom;

[0090] The image model data reading module is used to connect to the distributed relational database and read the image model data of the specified identifier;

[0091] The analysis and calculation submodule is used to extract the data structure required for analysis and calculation from the image model data, perform algorithm analysis, generate calculation results, calculate power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators and generate control strategies;

[0092] The calculation result data storage module is used to connect to the distributed relational database and store the intelligent analysis calculation results in the distributed relational database;

[0093] The control strategy sending module is used to publish the generated control strategy to the message middleware.

[0094] In the present invention, the intelligent analysis unit subscribes to and processes the image model event message, reads the image model data primary key from it, and then reads the actual image model data from the distributed relational database, performs analysis and decision calculation, stores the calculation results in the distributed relational database, and generates a control strategy at the same time, constructs a control strategy message, and publishes it to the message middleware. The structure of the intelligent analysis and decision module is as follows: Figure 5 As shown. In the present invention, the intelligent analysis unit includes three parts: response drive analysis, response drive control strategy generation, and intelligent enhanced analysis. Based on the real-time power grid image, the intelligent analysis unit integrates various calculation and analysis algorithms such as power angle, voltage, and frequency, performs continuous fast analysis at the level of hundreds of milliseconds, calculates stability characteristics, identifies stability properties, and gives control strategies, which are then sent back to the simulation software.

[0095] In the present invention, the intelligent analysis unit is mainly composed of an image model event message processing module, an image model data reading module, an analysis and calculation submodule, a calculation result data storage module and a control strategy sending module.

[0096] The image model event message processing module is responsible for subscribing to image model events from the message middleware and parsing the image model data identifier from them; the image model data reading module connects to the distributed relational database and reads the image model data with the specified identifier; the analysis and calculation submodule extracts the data structure required for analysis and calculation from the image model data, performs algorithm analysis, generates calculation results, calculates power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators and generates control strategies; the calculation result data storage module connects to the distributed relational database and stores the intelligent analysis and calculation results in the distributed relational database; the control strategy sending module publishes the generated control strategy to the message middleware.

[0097] The intelligent analysis and decision-making subsystem subscribes to and processes image model event messages in a specific format from the message middleware. The specific message format is shown in Table 6.

[0098] Table 6 Image model event message format

[0099]

[0100] For messages that do not conform to the format in the above table, the intelligent analysis and decision-making subsystem will ignore them and will not take any action.

[0101] The intelligent analysis and decision-making subsystem publishes control strategy messages to the message middleware. The specific message format is shown in Table 7.

[0102] Table 7 Image model control strategy message format

[0103] name type value describe excision_type String PSASP / ADPSS / BPA Simulation Type timestamp String Measurement data timestamp sleeptime String Delay time i_name. String Component Name type String Generator = 3, Load = 4. Line = 5 Disturbance Type xp String Resection ratio / resection amount

[0104] After intelligent analysis and decision-making reads the image model data from the distributed relational database, they will be converted into the input data structure required by the computational analysis algorithm, mainly including node input data and branch input data. Examples of the data structure are shown in Tables 8 and 9.

[0105] Table 8 Node input data table

[0106] time Bus name Voltage frequency Voltage Amplitude Voltage Phase …… Sichuan Huangyan 50 0.11 0.12 0.13 ……

[0107] Table 9 Branch input data table

[0108] Branch name Branch impedance Branch current I-side node number / name J-side node number / name Huangyan - Wanxian X1 / Sichuan Huangyan 50 Y1 / Sichuan Wanxian 50 Dongpo-Ziyang X2 / Chuandongpo 50 Y1 / Sichuan Ziyang 50 …… …… ……

[0109] The calculation results generated by the intelligent calculation and analysis algorithm mainly include branch results and comprehensive results. Examples of data structures are shown in Tables 10 and 11.

[0110] Table 10 Branch calculation result data table

[0111]

[0112] Table 11 Comprehensive calculation results data table

[0113] time Key branch Minimum sBTTC value Stable morphological discrimination index …… 0.11 Huangyan - Wanxian 1.02 0.12 Dongpo-Ziyang 1.13 ……

[0114] The large power grid safety and stability analysis and verification system based on offline simulation and image system closed loop of the present invention calculates power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators based on offline simulation data and generates a control strategy, which is sent back to the simulation software, realizing disturbance control in the simulation calculation process, and can analyze and verify the safety and stability of the power grid operation.

[0115] Figure 6 FIG. 6 is a flow chart of a large power grid analysis and verification method 600 based on offline simulation and image system closed loop according to an embodiment of the present invention. Figure 6 As shown, a large power grid analysis and verification method 600 based on offline simulation and image system closed loop provided in an embodiment of the present invention starts from step 601. In step 601, a simulation data access unit is used to obtain simulation measurement data based on simulation software. After data high-speed caching, steady-state / dynamic measurement data is provided to the system through streaming data processing.

[0116] Preferably, the method further comprises:

[0117] The simulation software is used to simulate the output of PMU and RTU measurement information, with the output time interval being a step of 10ms / 1ms.

[0118] Preferably, the method further comprises:

[0119] The simulation data receiving module in the simulation data access unit is used to receive the simulation data in real time, and the data is analyzed and stored in the cache in sequence; the simulation data processing module sequentially takes the data from the cache, classifies, sorts and searches the data, and forms the measurement data in accordance with the format of the real-time image power grid;

[0120] Utilize the simulation data data storage module in the simulation data access unit to connect to the distributed relational database, and store the measurement data in the distributed relational database in sequence;

[0121] Utilize the image model event message publishing module in the simulation data access unit to obtain specific information related to the stored data and combine it into an image model event to publish to the message middleware;

[0122] By utilizing the control strategy real-time interaction module in the simulation data access unit, the message middleware is subscribed to obtain the control strategy in real time, and the control strategy is sent back to the simulation software through the simulation software control strategy interaction interface.

[0123] In step 602, the steady-state / dynamic measurement data is collected according to a preset window collection time period using a real-time imaging power grid unit, and the missing measurement point measurement data is processed to form real-time data that can be used for analysis and calculation.

[0124] Preferably, the method further comprises:

[0125] The real-time data is stored in a distributed relational database using a real-time imaging power grid unit.

[0126] In step 603, a generalized dynamic power flow is formed based on the real-time data using a synchronous evolution unit of an image model to form a power grid image, thereby achieving synchronous evolution of the power grid image model and the actual power grid.

[0127] In step 604, the intelligent analysis unit is used to calculate stability characteristics and identify stability based on the real-time power grid image and generate a control strategy, and the control strategy is sent to the simulation software for closed-loop control.

[0128] Preferably, the method further comprises:

[0129] Using the image model event message processing module in the intelligent analysis unit, subscribing to the image model event from the message middleware, and parsing the image model data identifier therefrom;

[0130] Using the image model data reading module in the intelligent analysis unit, connecting to the distributed relational database, and reading the image model data of the specified identifier;

[0131] Utilize the analysis and calculation submodule in the intelligent analysis unit to extract the data structure required for analysis and calculation from the image model data, perform algorithm analysis, generate calculation results, calculate the power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators, and generate control strategies;

[0132] Utilize the calculation result data storage module in the intelligent analysis unit to connect to the distributed relational database and store the intelligent analysis calculation results in the distributed relational database;

[0133] The generated control strategy is published to the message middleware using the control strategy sending module in the intelligent analysis unit.

[0134] The large power grid analysis and verification method 600 based on offline simulation and closed-loop imaging system according to an embodiment of the present invention corresponds to the large power grid analysis and verification system 100 based on offline simulation and closed-loop imaging system according to another embodiment of the present invention, which will not be described in detail here.

[0135] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.

[0136] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise therein. All references to "a / said / the [means, components, etc.]" are to be openly interpreted as at least one instance of said means, components, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily have to be performed in the exact order disclosed, unless explicitly stated otherwise.

[0137] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0138] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0139] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0140] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A large power grid analysis and verification system based on offline simulation and closed-loop imaging system, characterized in that: The system includes: a simulation data access unit, a real-time image power grid unit, an image model synchronous evolution unit and an intelligent analysis unit; wherein, The simulation data access unit is connected to the real-time image power grid unit and is used to obtain simulation measurement data based on the simulation software, and after data high-speed buffering, provide steady-state / dynamic measurement data for the system through streaming data processing; The real-time imaging power grid unit is connected to the imaging model synchronous evolution unit and the response analysis unit respectively, and is used to collect the steady-state / dynamic measurement data according to a preset window collection time period, and process the missing measurement point measurement data to form real-time data that can be used for analysis and calculation; The image model synchronous evolution unit is used to form a generalized dynamic power flow based on the real-time data to form a power grid image, so as to achieve synchronous evolution of the power grid image model and the actual power grid; The intelligent analysis unit is used to calculate stability characteristics and identify stability based on real-time power grid images and generate control strategies, and send the control strategies to simulation software for closed-loop control.

2. The system according to claim 1, characterized in that The simulation software is used to simulate and output PMU and RTU measurement information, and the output time interval is 10ms / 1ms as a step.

3. The system according to claim 1, characterized in that The simulation data access unit includes: a simulation data receiving module, a simulation data processing module, a simulation data data storage module, an image model event message publishing module and a control strategy real-time interaction module; wherein, The simulation data receiving module is used to receive simulation data in real time, parse the data and store them in the cache in sequence; the simulation data processing module takes data from the cache in sequence, classifies, sorts and searches the data to form measurement data that conforms to the format of the real-time image power grid; The simulation data data storage module is used to connect to the distributed relational database and store the measurement data in the distributed relational database in sequence; The image model event message publishing module is used to obtain specific information related to the stored data and combine it into an image model event and publish it to the message middleware; The control strategy real-time interaction module is used to subscribe to the message middleware to obtain the control strategy in real time, and send it back to the simulation software through the simulation software control strategy interaction interface.

4. The system according to claim 1, characterized in that The real-time imaging power grid unit is also used for: The real-time data is stored in a distributed relational database.

5. The system according to claim 1, characterized in that The intelligent analysis unit includes: an image model event message processing module, an image model data reading module, an analysis and calculation submodule, a calculation result data storage module and a control strategy sending module; The image model event message processing module is used to subscribe to the image model event from the message middleware and parse the image model data identifier therefrom; The image model data reading module is used to connect to the distributed relational database and read the image model data of the specified identifier; The analysis and calculation submodule is used to extract the data structure required for analysis and calculation from the image model data, perform algorithm analysis, generate calculation results, calculate power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators and generate control strategies; The calculation result data storage module is used to connect to the distributed relational database and store the intelligent analysis calculation results in the distributed relational database; The control strategy sending module is used to publish the generated control strategy to the message middleware.

6. A large power grid analysis and verification method based on offline simulation and closed-loop imaging system, characterized in that: The method comprises: The simulation data access unit is used to obtain simulation measurement data based on the simulation software. After data high-speed buffering, the system is provided with steady-state / dynamic measurement data through streaming data processing. Using a real-time imaging power grid unit, the steady-state / dynamic measurement data is collected according to a preset window collection time period, and the missing measurement point measurement data is processed to form real-time data that can be used for analysis and calculation; Using an image model synchronous evolution unit, a generalized dynamic power flow is formed based on the real-time data to form a power grid image, thereby achieving synchronous evolution of the power grid image model and the actual power grid; The intelligent analysis unit is used to calculate stability characteristics and identify stability based on real-time power grid images and generate control strategies, which are then sent to simulation software for closed-loop control.

7. The system according to claim 6, characterized in that The method further comprises: The simulation software is used to simulate the output of PMU and RTU measurement information, with the output time interval being a step of 10ms / 1ms.

8. The system according to claim 6, characterized in that The method further comprises: The simulation data receiving module in the simulation data access unit is used to receive the simulation data in real time, and the data is parsed and stored in the cache in sequence; the simulation data processing module sequentially takes the data from the cache, classifies, sorts, and searches the data to form measurement data that conforms to the format of the real-time image power grid; Utilize the simulation data data storage module in the simulation data access unit to connect to the distributed relational database, and store the measurement data in the distributed relational database in sequence; Utilize the image model event message publishing module in the simulation data access unit to obtain specific information related to the stored data and combine it into an image model event to publish to the message middleware; By utilizing the control strategy real-time interaction module in the simulation data access unit, the message middleware is subscribed to obtain the control strategy in real time, and the control strategy is sent back to the simulation software through the simulation software control strategy interaction interface.

9. The system according to claim 6, characterized in that The method further comprises: The real-time data is stored in a distributed relational database using a real-time imaging power grid unit.

10. The system according to claim 6, characterized in that The method further comprises: Using the image model event message processing module in the intelligent analysis unit, subscribing to the image model event from the message middleware, and parsing the image model data identifier therefrom; Using the image model data reading module in the intelligent analysis unit, connecting to the distributed relational database, and reading the image model data of the specified identifier; Utilize the analysis and calculation submodule in the intelligent analysis unit to extract the data structure required for analysis and calculation from the image model data, perform algorithm analysis, generate calculation results, calculate the power angle stability, voltage stability, frequency stability, new energy short-circuit ratio and wide-band oscillation algorithm indicators, and generate control strategies; Utilize the calculation result data storage module in the intelligent analysis unit to connect to the distributed relational database and store the intelligent analysis calculation results in the distributed relational database; The generated control strategy is published to the message middleware using the control strategy sending module in the intelligent analysis unit.

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