Electromagnetic transient simulation fault data set optimization index prediction method and system

Abstract

The invention discloses an electromagnetic transient simulation fault data set optimization index prediction method, and discloses a system with the electromagnetic transient simulation fault data set optimization index prediction method, a terminal and a medium. The electromagnetic transient simulation fault data set optimization index prediction method comprises the following steps: acquiring state data output in an ADPSS electromagnetic transient simulation system, calculating an ADPSS electromagnetic transient simulation fault data set optimization index, and optimizing the ADPSS electromagnetic transient simulation fault data set according to an optimization index prediction result. The optimization process is relatively simple, and global optimization and local optimization of the fault data set are considered.

Description

Technical Field

[0001] The present invention relates to the field of signal acquisition and fault diagnosis, and in particular to a method and system for predicting an optimization index of an electromagnetic transient simulation fault data set. Background Art

[0002] With the accelerated pace of building new power systems and the increasing integration of new energy sources, multi-energy grid-load storage equipment, and safety and stability control devices, the size and rationality of the preset power system fault datasets are key factors affecting the accuracy of simulation results when using the ADPSS simulation system to simulate power system transient processes. A fault dataset is a set of data used to test, validate, and train power system fault detection, diagnosis, and recovery algorithms. It primarily includes fault type, location, occurrence time, duration, and fault diagnosis alarm data.

[0003] Currently, artificial intelligence (AI) and various biomimetic swarm intelligence algorithms are primarily used to optimize the size of ADPSS electromagnetic transient simulation fault datasets. However, optimizing fault datasets using intelligent algorithms requires complex programming, and the required programming varies for different power system simulation models. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a method for predicting an optimization index for an ADPSS electromagnetic transient simulation fault dataset. The method collects state data output from the ADPSS electromagnetic transient simulation system, calculates the optimization index for the ADPSS electromagnetic transient simulation fault dataset, and optimizes the ADPSS electromagnetic transient simulation fault dataset based on the predicted optimization index.

[0005] The present invention also proposes a system, a terminal and a medium having the above-mentioned ADPSS electromagnetic transient simulation fault data set optimization index prediction method.

[0006] The electromagnetic transient simulation fault data set optimization index prediction method according to the first embodiment of the present invention is characterized by comprising the following steps:

[0007] Define the optimization index of electromagnetic transient simulation fault data set;

[0008] Acquire state data of the power system output under a fault condition during electromagnetic transient simulation, establish a time series based on the state data, and normalize the state data to obtain normalized state data;

[0009] Calculating the impact factor of the state data output by the simulation system at the next moment based on the normalized state data;

[0010] Calculating a predicted value of the normalized state data at the next moment according to an influencing factor of the state data output by the simulation system at the next moment;

[0011] The predicted value of the electromagnetic transient simulation fault data set optimization index at the next moment is calculated according to the predicted value of the normalized state data at the next moment.

[0012] The electromagnetic transient simulation fault data set optimization index prediction method according to an embodiment of the present invention has at least the following beneficial effects:

[0013] According to some embodiments of the present invention, the optimization index EMZY ZS Satisfy the following formula:

[0014]

[0015] Where, t1, t2, t3, ..., t i ,...,t n , is n fixed time intervals, where n is a natural number. t i The total active power output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at all times, For t1, t2, t3, ..., t i ,...,t n , the maximum value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total reactive power output of the power system in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i ,...,t n , the maximum value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total active power output of the new energy power source of the power system in the ADPSS electromagnetic transient simulation system collected at all times, For t1, t2, t3, ..., t i ,...,t n , the maximum total active output of the new energy power source of the power system in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total energy state of the power system heat storage device in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i,...,t n , the maximum value of the total energy state of the multi-energy storage in the power system in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The power system frequency in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i ,...,t n , the maximum value of the power system frequency in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals.

[0016] According to some embodiments of the present invention, the status data includes: total active output of power system power supplies, total reactive output of power system power supplies, total active output of new energy power supplies, total load status of heat storage devices, and power system frequency.

[0017] According to some embodiments of the present invention, the normalization processing of the state data satisfies the following formula:

[0018]

[0019] Where, t i The normalized value of the total active output of the power system power supply in the electromagnetic transient simulation system at the moment, t i The normalized value of the total reactive power output of the power system in the electromagnetic transient simulation system at the moment, t i The normalized value of the total active power output of the new energy power source of the power system in the electromagnetic transient simulation system at any moment, t i The normalized value of the total energy state of the power system heat storage device in the electromagnetic transient simulation system at time t, t i The normalized value of the power system frequency in the electromagnetic transient simulation system at time t, For t1, t2, t3, ..., t i ,...,t n , the total active power output of the power system in the minimum electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the total reactive power output of the power system in the minimum electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n, the total active power output of the new energy power source of the power system in the minimum electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the total energy state of the power system heat storage device in the minimum electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the power system frequency in the minimum electromagnetic transient simulation system collected at n fixed time intervals

[0020] According to some embodiments of the present invention, the impact factor of the state data output by the simulation system at the next moment is The calculation formula is:

[0021]

[0022] According to some embodiments of the present invention, the formula for calculating the predicted value of the normalized state data at the next moment based on the influence factor of the state data output by the simulation system at the next moment is as follows:

[0023]

[0024] Where, t n+1 The predicted value of the normalized value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized value of the total reactive power output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized total active output of the new energy power source in the power system in the ADPSS electromagnetic transient simulation system at the moment, t n+1 The predicted value of the normalized value of the total energy state of the power system thermal storage device in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized value of the power system frequency in the ADPSS electromagnetic transient simulation system at time . The state data collected in each ADPSS electromagnetic transient simulation system n+1 The predicted value matrix of the normalized value at time t, For each state data at t1, t2, t3, ..., t i ,...,t nThe normalized data matrix calculated at these n fixed time intervals is, is the impact factor matrix.

[0025] According to some embodiments of the present invention, the predicted value of the electromagnetic transient simulation fault data set optimization index at the next moment is calculated based on the predicted value of the normalized state data at the next moment, and the predicted value The calculation formula satisfies:

[0026]

[0027] According to the second embodiment of the present invention, the electromagnetic transient simulation fault data set optimization index prediction system is characterized by comprising:

[0028] Optimization index definition module, which can define the optimization index of electromagnetic transient simulation fault data set;

[0029] A normalization module is capable of acquiring state data of the power system output under fault conditions during electromagnetic transient simulation, establishing a time series based on the state data, and normalizing the state data to obtain normalized state data;

[0030] An impact factor prediction module, capable of calculating the impact factor of the state data output by the simulation system at the next moment based on the normalized state data;

[0031] A state data prediction module, capable of calculating a predicted value of the normalized state data at the next moment according to an influencing factor of the state data output by the simulation system at the next moment;

[0032] The optimization index prediction module can calculate the optimization index prediction value of the electromagnetic transient simulation fault data set at the next moment according to the prediction value of the normalized state data at the next moment.

[0033] An embodiment of the third aspect of the present invention provides a terminal, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned electromagnetic transient simulation fault data set optimization index prediction method.

[0034] An embodiment of the fourth aspect of the present invention provides a computer-readable storage medium storing computer-executable instructions for executing the above-mentioned electromagnetic transient simulation fault data set optimization index prediction method.

[0035] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments with reference to the accompanying drawings, in which:

[0037] Figure 1 A schematic diagram of the steps of an electromagnetic transient simulation fault data set optimization index prediction method according to an embodiment of the present invention;

[0038] Figure 2 This is a structural block diagram of an electromagnetic transient simulation fault data set optimization index prediction system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0040] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on the present invention.

[0041] In the description of the present invention, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The use of "first" and "second" in the description is solely for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, implicitly specifying the number of the indicated technical features, or implicitly specifying the order of the indicated technical features.

[0042] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0043] At present, artificial intelligence technology and various bionic swarm intelligence algorithms are mainly used at home and abroad to optimize the scale of ADPSS (Advanced Digital Power System Simulator) electromagnetic transient simulation fault data sets.

[0044] Example 1

[0045] This application provides a method for predicting an optimization index of an electromagnetic transient simulation fault data set, which includes at least the following steps:

[0046] Step S100: defining an optimization index of an electromagnetic transient simulation fault data set.

[0047] Step S200: acquiring state data of the power system output under a fault condition during electromagnetic transient simulation, establishing a time series based on the state data, and normalizing the state data to obtain normalized state data.

[0048] Step S300: Calculate the impact factor of the state data output by the simulation system at the next moment based on the normalized state data.

[0049] Step S400: Calculate the predicted value of the normalized state data at the next moment according to the influencing factor of the state data output by the simulation system at the next moment.

[0050] Step S500: Calculate the predicted value of the electromagnetic transient simulation fault data set optimization index at the next moment according to the predicted value of the normalized state data at the next moment.

[0051] According to the definition of the ADPSS electromagnetic transient simulation fault data set optimization index, the state data output by the ADPSS electromagnetic transient simulation system is collected, the ADPSS electromagnetic transient simulation state data time series is established and the collected values ​​are normalized, the influence factor of the state data collected in the ADPSS electromagnetic transient simulation system on the state data output by the ADPSS electromagnetic transient simulation system at the next moment is calculated, the predicted value of the normalized value of the state data collected in the ADPSS electromagnetic transient simulation system at the next moment is calculated, and the predicted value of the ADPSS electromagnetic transient simulation fault data set optimization index at the moment is calculated. By determining the range of the predicted value of the ADPSS electromagnetic transient simulation fault data set optimization index, it is determined how to optimize the fault data set.

[0052] Specifically, in order to have a more detailed understanding of the purpose of this application and the specific calculation process, the method described in the above process is described in detail.

[0053] Example 2

[0054] Step S100: defining an optimization index of an electromagnetic transient simulation fault data set.

[0055] Define the ADPSS electromagnetic transient simulation fault data set optimization index EMZY ZS As shown in formula (1):

[0056]

[0057] Where, t1, t2, t3, ..., t i ,...,t n , is n fixed time intervals, where n is a natural number. t i The total active output of the power system power supply in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i ,...,t n , the maximum value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total reactive power output of the power system in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i ,...,t n , the maximum value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total active power output of the new energy power source of the power system in the ADPSS electromagnetic transient simulation system collected at all times, For t1, t2, t3, ..., t i ,...,t n , the maximum total active output of the new energy power source of the power system in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total energy state of the power system heat storage device in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i ,...,t n , the maximum value of the total energy state of the multi-energy storage in the power system in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The power system frequency in the ADPSS electromagnetic transient simulation system is collected at all times. For t1, t2, t3, ..., t i ,...,t n , the maximum value of the power system frequency in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals.

[0058] Step S200: Acquire state data of the power system output under fault conditions during electromagnetic transient simulation, establish a time series based on the state data, and normalize the state data to obtain normalized state data. Specifically, the process includes:

[0059] Step S201: Acquire state data of the power system output under fault conditions during electromagnetic transient simulation.

[0060] The power system output status data that needs to be collected during the ADPSS electromagnetic transient simulation when a fault occurs includes: the total active power output of the power system power supplies in the ADPSS electromagnetic transient simulation system, the total reactive power output of the power system power supplies in the ADPSS electromagnetic transient simulation system, the total active power output of the power system's new energy power sources in the ADPSS electromagnetic transient simulation system, the total energy state of the power system's thermal storage devices in the ADPSS electromagnetic transient simulation system, and the power system frequency in the ADPSS electromagnetic transient simulation system. A time series of ADPSS electromagnetic transient simulation status data is established, and the collected values ​​are normalized.

[0061] Total active power output of power system in ADPSS electromagnetic transient simulation system Total reactive power output of power system in ADPSS electromagnetic transient simulation system Total active power output of new energy sources in the power system in the ADPSS electromagnetic transient simulation system Total energy state of power system thermal storage devices in ADPSS electromagnetic transient simulation system Power System Frequency in ADPSS Electromagnetic Transient Simulation System

[0062] Step S202: Establish a time series based on the status data.

[0063] Create the following time series:

[0064]

[0065] Step S203: normalize the state data to obtain normalized state data.

[0066] The collected values ​​are normalized according to the following formula:

[0067]

[0068] Where, t i The normalized value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t, t i The normalized value of the total reactive power output of the power system in the ADPSS electromagnetic transient simulation system at time t, t i The normalized value of the total active power output of the new energy power source in the power system in the ADPSS electromagnetic transient simulation system at the moment, t i The normalized value of the total energy state of the power system thermal storage device in the ADPSS electromagnetic transient simulation system at time t, t i The normalized value of the power system frequency in the ADPSS electromagnetic transient simulation system at time , For t1, t2, t3, ..., t i ,...,t n , the total active power output of the power system in the minimum ADPSS electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the total reactive power output of the power system in the minimum ADPSS electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the total active power output of the new energy power source of the power system in the minimum ADPSS electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the total energy state of the power system thermal storage device in the minimum ADPSS electromagnetic transient simulation system collected at n fixed time intervals, For t1, t2, t3, ..., t i ,...,t n , the power system frequency in the minimum ADPSS electromagnetic transient simulation system collected at n fixed time intervals.

[0069] Step S300: Calculate the impact factor of the state data output by the simulation system at the next moment based on the normalized state data.

[0070] Impact Factor The calculation formula satisfies:

[0071]

[0072] Step S400: Calculate the predicted value of the normalized state data at the next moment according to the influencing factor of the state data output by the simulation system at the next moment.

[0073] The formula used for prediction is as follows:

[0074]

[0075] Where, t n+1The predicted value of the normalized value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized value of the total reactive power output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized total active output of the new energy power source in the power system in the ADPSS electromagnetic transient simulation system at the moment, t n+1 The predicted value of the normalized value of the total energy state of the power system thermal storage device in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized value of the power system frequency in the ADPSS electromagnetic transient simulation system at time . The state data collected in each ADPSS electromagnetic transient simulation system n+1 The predicted value matrix of the normalized value at time t, For each state data at t1, t2, t3, ..., t i ,...,t n The normalized data matrix calculated at these n fixed time intervals is, is the impact factor matrix.

[0076] Step S500: Calculate the predicted value of the electromagnetic transient simulation fault data set optimization index at the next moment according to the predicted value of the normalized state data at the next moment.

[0077] Prediction value of optimization index of electromagnetic transient simulation fault data set at the next moment The calculation formula satisfies:

[0078]

[0079] If the predicted value of the optimization index of the ADPSS electromagnetic transient simulation fault data set is greater than 0.788, it means that during the power system simulation process in the ADPSS simulation system at this time, the scale of the preset power system fault data set is too large, and the fault data set of the power system in the preset ADPSS simulation system should be reduced by 33% at the next moment; if the predicted value of the optimization index of the ADPSS electromagnetic transient simulation fault data set is less than or equal to 0.788, it means that during the power system simulation process in the ADPSS simulation system at this time, the scale of the preset power system fault data set is also relatively reasonable, and the preset power system fault data set in the preset ADPSS simulation system can continue to be used at the next moment.

[0080] Example 3:

[0081] Another embodiment of the present application provides an electromagnetic transient simulation fault data set optimization index prediction system, such as Figure 2 As shown, the system 20 includes:

[0082] An optimization index definition module 201 is capable of defining an optimization index of an electromagnetic transient simulation fault data set;

[0083] The normalization module 202 is capable of acquiring state data of the power system output under fault conditions during electromagnetic transient simulation, establishing a time series based on the state data, and performing normalization processing on the state data to obtain normalized state data;

[0084] An impact factor prediction module 203 is capable of calculating the impact factor of the state data output by the simulation system at the next moment based on the normalized state data;

[0085] The state data prediction module 204 is capable of calculating the predicted value of the normalized state data at the next moment according to the influence factor of the state data output by the simulation system at the next moment;

[0086] The optimization index prediction module 205 can calculate the predicted value of the optimization index of the electromagnetic transient simulation fault data set at the next moment according to the predicted value of the normalized state data at the next moment.

[0087] The embodiments of the present application process the collected state data output by the ADPSS electromagnetic transient simulation system to derive an ADPSS electromagnetic transient simulation fault dataset optimization index prediction value to determine whether the fault dataset requires optimization. This approach eliminates the need for extensive programming, resulting in a relatively simple optimization process that balances global and local optimization of the fault dataset. This relatively simple process is applicable to a variety of power system simulation models, facilitating fault dataset optimization.

[0088] Another embodiment of the present application provides a terminal, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned electromagnetic transient simulation fault data set optimization index prediction method.

[0089] Specifically, a processor may be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA, or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. A processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0090] Specifically, the processor is connected to the memory via a bus. The bus may include a path for transmitting information. The bus may be a PCI bus or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, etc.

[0091] The memory may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, or an EEPROM, CD-ROM or other optical disk storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0092] Optionally, the memory is used to store the code of the computer program for executing the solution of the present application, and the execution is controlled by the processor. The processor is used to execute the application code stored in the memory to implement Figure 2 The illustrated embodiment provides the functions of an electromagnetic transient simulation fault data set optimization index prediction system.

[0093] Another embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for executing the above-mentioned Figure 1 The optimization index prediction method for electromagnetic transient simulation fault dataset is shown.

[0094] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0095] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0096] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above implementation mode. Technical personnel familiar with the field can also make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A method for predicting an optimization index of an electromagnetic transient simulation fault data set, characterized in that: The following steps are involved: Define the optimization index of electromagnetic transient simulation fault data set; Acquire state data of the power system output under fault conditions during electromagnetic transient simulation, establish a time series based on the state data, and normalize the state data to obtain normalized state data; Calculating the impact factor of the state data output by the simulation system at the next moment according to the normalized state data; Calculating the predicted value of the normalized state data at the next moment according to the influencing factor of the state data output by the simulation system at the next moment; The predicted value of the electromagnetic transient simulation fault data set optimization index at the next moment is calculated according to the predicted value of the normalized state data at the next moment.

2. The method according to claim 1, characterized in that The Optimized Index EMZY ZS Satisfy the following formula: Where t1, t2, t3, ..., t i ,...,t n , is n fixed time intervals, where n is a natural number. t i The total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at all times, for t1,t2,t3,...,t i ,...,t n , the maximum value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total reactive power output of the power system in the ADPSS electromagnetic transient simulation system collected at all times, for t1, t2, t3, ..., t i ,...,t n , the maximum value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals, t i The total active output of new energy sources in the power system in the ADPSS electromagnetic transient simulation system is collected at all times. for t1, t2, t3, ..., t i ,...,t n , the maximum total active output of new energy power sources in the power system collected in the ADPSS electromagnetic transient simulation system at n fixed time intervals, t i The total energy state of the power system heat storage device in the ADPSS electromagnetic transient simulation system collected at all times, for t1, t2, t3, ..., t i ,...,t n , the maximum value of the total energy state of multi-energy storage in the power system collected in the ADPSS electromagnetic transient simulation system at n fixed time intervals, t i The power system frequency in the ADPSS electromagnetic transient simulation system collected at all times, for t1,t2,t3,...,t i ,...,t n , the maximum value of the power system frequency in the ADPSS electromagnetic transient simulation system collected at n fixed time intervals.

3. The method according to claim 1, characterized in that The status data include: the total active output of the power system power supply, the total reactive output of the power system power supply, the total active output of the new energy power supply, the total load state of the heat storage device, and the power system frequency.

4. The method according to claim 3, characterized in that The normalization process of the state data satisfies the following formula: In the formula, t i The normalized value of the total active output of the power system power supply in the electromagnetic transient simulation system at the moment, t i The normalized value of the total reactive power output of the power system power supply in the electromagnetic transient simulation system at the moment, t i The normalized value of the total active output of the new energy power source of the power system in the electromagnetic transient simulation system at any moment, t i The normalized value of the total energy state of the power system heat storage device in the electromagnetic transient simulation system at the moment, t i The normalized value of the power system frequency in the electromagnetic transient simulation system at time , for t1,t2,t3,...,t i ,...,t n , the total active output of the power system power supply in the minimum electromagnetic transient simulation system collected at n fixed time intervals, for t1,t2,t3,...,t i ,...,t n , the total reactive power output of the power system in the minimum electromagnetic transient simulation system collected at n fixed time intervals, for t1,t2,t3,...,t i ,...,t n , the total active output of the new energy power source of the power system in the minimum electromagnetic transient simulation system collected at n fixed time intervals, for t1,t2,t3,...,t i ,...,t n , the total energy state of the power system heat storage device in the minimum electromagnetic transient simulation system collected at n fixed time intervals, for t1,t2,t3,...,t i ,...,t n , the power system frequency in the minimum electromagnetic transient simulation system collected at n fixed time intervals.

5. The method according to claim 4, characterized in that The influencing factor of the state data output by the simulation system at the next moment The calculation formula is:

6. The method according to claim 5, characterized in that The formula for calculating the predicted value of the normalized state data at the next moment based on the influencing factor of the state data output by the simulation system at the next moment is as follows: In the formula, t n+1 The predicted value of the normalized value of the total active output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t n+1 The predicted value of the normalized value of the total reactive power output of the power system power supply in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized value of the total active output of the new energy power source of the power system in the ADPSS electromagnetic transient simulation system at the moment, t n+1 The predicted value of the normalized value of the total energy state of the power system thermal storage device in the ADPSS electromagnetic transient simulation system at time t, t n+1 The predicted value of the normalized value of the power system frequency in the ADPSS electromagnetic transient simulation system at time . The state data collected in each ADPSS electromagnetic transient simulation system n+1 The predicted value matrix of the normalized value at time, For each state data at t1, t2, t3, ..., t i ,...,t n The normalized data matrix calculated at these n fixed time intervals is is the impact factor matrix.

7. The method according to claim 6, characterized in that The predicted value of the electromagnetic transient simulation fault data set optimization index at the next moment is calculated based on the predicted value of the normalized state data at the next moment, and the predicted value The calculation formula satisfies:

8. An electromagnetic transient simulation fault data set optimization index prediction system, characterized in that: include: The optimization index definition module can define the optimization index of electromagnetic transient simulation fault data set; A normalization module is capable of acquiring state data of the power system output under fault conditions during electromagnetic transient simulation, establishing a time series based on the state data, and performing normalization processing on the state data to obtain normalized state data; An impact factor prediction module, capable of calculating the impact factor of the state data output by the simulation system at the next moment according to the normalized state data; A state data prediction module, capable of calculating a predicted value of the normalized state data at the next moment according to an influence factor of the state data output by the simulation system at the next moment; The optimization index prediction module can calculate the prediction value of the optimization index of the electromagnetic transient simulation fault data set at the next moment according to the prediction value of the normalized state data at the next moment.

9. A terminal, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the method according to any one of claims 1 to 7.

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