A power system model simulation test method and device, a terminal and a medium

Abstract

The application discloses a power system model simulation test method and device, a terminal and a medium. The technical scheme provided by the application comprises the following steps: first, a first power system simulation model based on conventional simulation software is acquired; then, system steady state and / or fault state simulation is performed through the first power system simulation model to obtain a first simulation data set as a standard data set; then, a second power system simulation model based on second simulation software and having consistent topology and parameters with the first power system simulation model is converted from the first power system simulation model through a topology mapping mode; then, the same system steady state and / or fault state simulation is performed through the second power system simulation model to obtain a second simulation data set as a verification data set; finally, the simulation test result of the second power system simulation model is determined according to the comparison result of the first simulation data set and the second simulation data set, and the efficiency of the model comparison test process is improved.

Description

Technical Field

[0001] This application relates to the field of power simulation technology, and in particular to a power system model simulation test method, device, terminal and medium. Background Technology

[0002] Currently, numerous simulation software programs are commonly used in the field of electrical engineering, such as RTDS (Real Time Digital Simulator), RT-LAB (Real Time Laboratory), MATLAB (Matrix Laboratory), and PSCAD (Power System Computer Aided Design). The model comparison and testing process in the development of domestically produced power simulation software is currently complex. During model testing and comparison, actual engineering waveform recordings are often difficult to obtain. Obtaining corresponding waveform recordings from operational power grids is a complex, time-consuming, and inefficient process. Therefore, when comparing with other mainstream simulation software, due to differences in simulation platforms, multiple manual modeling steps are usually required, along with verification of electrical and control system parameters to ensure complete consistency in the topology and parameters of the models on both simulation platforms. This also reduces the efficiency of the testing and comparison process. Summary of the Invention

[0003] This application provides a power system model simulation test method, device, terminal and medium to solve the technical problem of low efficiency in existing power system simulation model test comparison.

[0004] To address the aforementioned technical problems, the first aspect of this application provides a power system model simulation and testing method, comprising:

[0005] A first power system simulation model is obtained, and a simulation is performed based on the first power system simulation model to obtain a first simulation dataset. The first power system simulation model is constructed using a preset first simulation software.

[0006] A mapping relationship is established between the components of the second simulation software and the components of the first power system simulation model. Through topological mapping, the first power system simulation model is converted into a second power system simulation model based on the second simulation software.

[0007] Based on the second power system simulation model, an operational simulation was performed to obtain the second simulation dataset;

[0008] Based on the comparison results between the first simulation dataset and the second simulation dataset, the simulation test results of the second power system simulation model are determined.

[0009] Preferably, determining the simulation test results of the second power system simulation model based on the comparison results of the first simulation dataset and the second simulation dataset specifically includes:

[0010] Using the correlation coefficient calculation formula, based on the first simulation data and the second simulation dataset, the correlation coefficients between various similar simulation data in the first simulation data and the second simulation dataset are calculated according to the type of simulation data.

[0011] Based on the correlation coefficients of the various similar simulation data, and combined with the preset weighting coefficients, the comprehensive correlation coefficient between the first simulation data and the second simulation data set is calculated. Based on the comparison result of the comprehensive correlation coefficient and the preset judgment threshold, the simulation test result of the second power system simulation model is determined.

[0012] Preferably, the formula for calculating the correlation coefficient is as follows:

[0013]

[0014] In the formula, ρ i M is the correlation coefficient between the i-th type of simulation data in the first simulation data and the second simulation data set. i,j Let N be the value of the j-th data point of the i-th type of simulation data in the first simulation dataset. i,j Let be the value of the j-th data point of the i-th type of simulation data in the second simulation dataset, where i represents the index of the simulation data type, j represents the index of the data point, and n is the number of data points.

[0015] Preferably, the step of establishing a mapping relationship between the components of the second simulation software and the components of the first power system simulation model, and converting the first power system simulation model into a second power system simulation model based on the second simulation software through topological mapping, specifically includes:

[0016] Read the component information of each component in the first power system simulation model to obtain the first component set;

[0017] A preset initial component set of the second simulation software is obtained. The components in the initial component set are matched with the first component set. A mapping relationship is established between the components matched from the initial component set and the components in the first component set to obtain a second component set that is mapped to the first component set. A second power system simulation model is obtained based on the second component set.

[0018] Preferably, the comprehensive correlation coefficient is specifically the weighted sum or weighted average of the correlation coefficients of the various types of simulation data.

[0019] Meanwhile, a second aspect of this application provides a power system model simulation test device, comprising:

[0020] The first simulation execution unit is used to acquire a first power system simulation model and perform simulation based on the first power system simulation model to obtain a first simulation dataset, wherein the first power system simulation model is constructed by a preset first simulation software;

[0021] The topology mapping conversion unit is used to establish a mapping relationship between the components of the second simulation software and the components of the first power system simulation model, and to convert the first power system simulation model into a second power system simulation model based on the second simulation software through topology mapping.

[0022] The second simulation execution unit is used to perform operational simulation based on the second power system simulation model to obtain the second simulation dataset;

[0023] The simulation test result determination unit is used to determine the simulation test results of the second power system simulation model based on the comparison results of the first simulation dataset and the second simulation dataset.

[0024] Preferably, the simulation test result determination unit is specifically used for:

[0025] Using the correlation coefficient calculation formula, based on the first simulation data and the second simulation dataset, the correlation coefficients between various similar simulation data in the first simulation data and the second simulation dataset are calculated according to the type of simulation data.

[0026] Based on the correlation coefficients of the various similar simulation data, and combined with the preset weighting coefficients, the comprehensive correlation coefficient between the first simulation data and the second simulation data set is calculated. Based on the comparison result of the comprehensive correlation coefficient and the preset judgment threshold, the simulation test result of the second power system simulation model is determined.

[0027] Preferably, the topology mapping transformation unit is specifically used for:

[0028] Read the component information of each component in the first power system simulation model to obtain the first component set;

[0029] A preset initial component set of the second simulation software is obtained. The components in the initial component set are matched with the first component set. A mapping relationship is established between the components matched from the initial component set and the components in the first component set to obtain a second component set that is mapped to the first component set. A second power system simulation model is obtained based on the second component set.

[0030] A third aspect of this application also provides a power system model simulation test terminal, including: a memory and a processor;

[0031] The memory is used to store program code corresponding to the power system model simulation test method provided in the first aspect of this application;

[0032] The processor is used to acquire program code in the memory and execute the program code to implement the power system model simulation test method provided in the first aspect of this application.

[0033] The fourth aspect of this application also provides a computer-readable storage medium storing program code corresponding to the power system model simulation test method provided in the first aspect of this application.

[0034] As can be seen from the above technical solutions, this application has the following advantages:

[0035] The technical solution provided in this application first obtains a first power system simulation model constructed based on conventional simulation software. Steady-state and / or fault-state simulations are then performed using this first power system simulation model to obtain a first simulation dataset as a standard dataset. Next, a second power system simulation model is converted from the first power system simulation model using topology mapping, while maintaining the same topology and parameters as the first power system simulation model. The same steady-state and / or fault-state simulations are then performed using this second power system simulation model to obtain a second simulation dataset as a verification dataset. Based on the comparison results between the first and second simulation datasets, the simulation test results of the second power system simulation model are determined, thereby improving the efficiency of the model comparison and testing process. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating an embodiment of a power system model simulation and testing method provided in this application.

[0038] Figure 2 A schematic diagram of the specific process of step 102 in the power system model simulation test method provided in this application.

[0039] Figure 3A schematic diagram of the specific process of step 104 in the power system model simulation test method provided in this application.

[0040] Figure 4 This is a schematic diagram of an embodiment of a power system model simulation test device provided in this application.

[0041] Figure 5 This is a schematic diagram of the structure of an embodiment of a power system model simulation test terminal provided in this application. Detailed Implementation

[0042] This application provides a power system model simulation test method, device, terminal, and medium to solve the technical problem of low efficiency in existing power system simulation model test comparison.

[0043] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] First, a detailed description of an embodiment of a power system model simulation and testing method provided in this application is as follows:

[0045] Please see Figure 1 The first aspect of this application provides a power system model simulation test method, including:

[0046] Step 101: Obtain the first power system simulation model and run the simulation based on the first power system simulation model to obtain the first simulation dataset.

[0047] The first power system simulation model was constructed using a pre-set first simulation software.

[0048] It should be noted that, taking the model simulation scenario of a photovoltaic grid-connected power plant power system as an example, RTDS is first used as the primary simulation software to construct a standard photovoltaic power plant topology model as the first power system simulation model, including the AC grid, step-up transformer, combiner transformer, inverter, BOOST converter, and PV modules. The basic parameters are: AC grid voltage level of 220kV, frequency of 50Hz, DC bus voltage of 800V, and rated grid-connected power of 1MW. Then, based on the established photovoltaic power plant topology model, operational simulation is performed to establish RTDS datasets under steady-state and fault-state conditions, i.e., the first simulation dataset M. i,jThis dataset can serve as a comparison standard dataset, where fault states include, but are not limited to, three-phase short-circuit faults in AC power grids, two-phase short-circuit faults in AC power grids, and single-phase short-circuit faults in AC power grids. In the first simulation dataset M... i,j In the table, i = 1, 2, ..., K represents the data category, including PV module port voltage and current, DC bus voltage, inverter output port voltage and current, grid connection point voltage and current, and control loop output signal; j = 1, 2, ..., n represents the data points at different times.

[0049] In this embodiment, the first simulation software can be a mainstream simulation software such as RTDS, RT-LAB, MATLAB, PSCAD, etc.

[0050] Step 102: Establish a mapping relationship between the components of the second simulation software and the components of the first power system simulation model. Through topological mapping, convert the first power system simulation model into a second power system simulation model based on the second simulation software.

[0051] It should be noted that, based on the first power system simulation model in step 101, the photovoltaic model of RTDS is transformed into a second power system simulation model based on the second simulation software using the topology mapping relationship. In this embodiment, the second simulation software is a different simulation software from the first simulation software, and is generally a self-developed simulation software.

[0052] In some embodiments, such as Figure 2 As shown, the steps in step 102 of this embodiment may include:

[0053] Step 1021: Read the component information of each component in the first power system simulation model to obtain the first component set;

[0054] Step 1022: Obtain the preset initial component set of the second simulation software, match the components in the initial component set with the first component set, and establish a mapping relationship between the components matched from the initial component set and the components in the first component set to obtain the second component set that is mapped to the first component set, so as to obtain the second power system simulation model based on the second component set.

[0055] It should be noted that, for example, A is an RTDS model. A contains descriptions of the relevant component information in the model. This component information includes: the type, quantity, location, and initial parameter values ​​of electrical / control components, abstracted as set 'a', and the connection relationships between the components, abstracted as set 'alpha'. When transforming A into model B in the self-developed simulation software based on the mapping relationship, the main steps are as follows:

[0056] 1. First, the information of set a is automatically read through programming and instantiated into the corresponding information of set b in the self-developed simulation software. The information of set b contains the type, quantity and initial value information of the corresponding electrical / control components.

[0057] 2. Secondly, based on the component connection relationship information described by the alpha set, the alpha is automatically read in the self-developed software and the corresponding beta set is generated. The components in the b set are connected according to the relationship described by the beta set, and finally the model B in the self-developed software is obtained.

[0058] In the above example, the mapping relationship means that A corresponds to B, a corresponds to b, and alpha corresponds to beta. That is, for the photovoltaic model in RTDS, it can be transformed into a model in the self-developed simulation software through the above mapping relationship.

[0059] Step 103: Perform an operational simulation based on the second power system simulation model to obtain the second simulation dataset.

[0060] It should be noted that, maintaining the same simulation conditions as in step 101, the second power system simulation model obtained in step 102 is simulated in the second simulation software in the same way to obtain the second simulation dataset N. i,j This can be used as a comparison dataset. The second simulation dataset N... i,j In the table, i = 1, 2, ..., K represents the data category, including PV module port voltage and current, DC bus voltage, inverter output port voltage and current, grid connection point voltage and current, and control loop output signal; j = 1, 2, ..., n represents the data points at different times.

[0061] Step 104: Based on the comparison results of the first simulation dataset and the second simulation dataset, determine the simulation test results of the second power system simulation model.

[0062] It should be noted that by comparing the results of the first simulation dataset and the second simulation dataset, the differences between the self-developed simulation software corresponding to the second simulation dataset and the mainstream simulation software corresponding to the first simulation dataset can be determined, thereby determining whether the simulation test results of the second power system simulation model are qualified.

[0063] More specifically, such as Figure 3 As shown, the process of step 104 in this embodiment may include:

[0064] Step 1041: Using the correlation coefficient calculation formula, based on the first simulation data and the second simulation dataset, calculate the correlation coefficients between similar simulation data in the first simulation data and the second simulation dataset according to the type of simulation data.

[0065] Step 1042: Based on the correlation coefficients of various similar simulation data and combined with the preset weight coefficients, calculate the comprehensive correlation coefficient between the first simulation data and the second simulation data set. Based on the comparison result of the comprehensive correlation coefficient and the preset judgment threshold, determine the simulation test result of the second power system simulation model.

[0066] The formula for calculating the correlation coefficient mentioned in this embodiment is as follows:

[0067]

[0068] In the formula, ρ i M is the correlation coefficient between the i-th type of simulation data in the first simulation data and the second simulation data set. i,j Let N be the value of the j-th data point of the i-th type of simulation data in the first simulation dataset. i,j Let be the value of the j-th data point of the i-th type of simulation data in the second simulation dataset, where i represents the index of the simulation data type, j represents the index of the data point, and n is the number of data points.

[0069] The correlation coefficient ρ for each data category can be calculated using the formula above. i , i = 1, 2, ..., K.

[0070] Recalculate dataset M i,j and N i,j The comprehensive correlation coefficient between the two is used as the final weighted correlation coefficient. The calculation formula can be: Where α i ∈(0,1) represents the weighting coefficients corresponding to the correlation coefficients of each data category. The calculated weighted correlation coefficients range from -1 to 1. A weighted correlation coefficient of 1 indicates that the simulation results of the two station models are completely consistent. The closer the value is to 1, the more consistent the simulation results of the two models are. In practice, the threshold ρ can be selected according to the requirements of different scenarios. TH For example, take ρ TH =0.95. When the calculated weighted correlation coefficient is greater than 0.95, the simulation results of the two simulation models are considered to be consistent, that is, the accuracy of the self-developed simulation software has reached the level of existing mainstream simulation software.

[0071] This application provides a general procedure for systematically testing and comparing power system models, and introduces a weighted correlation coefficient. This method scientifically reflects the differences between different simulation datasets. Using the method provided in this application, the efficiency of the model comparison and testing process can be improved.

[0072] The above is a detailed description of an embodiment of a power system model simulation and testing method provided in this application. The following is a detailed description of an embodiment of a power system model simulation and testing device provided in this application:

[0073] Please see Figure 4 This embodiment provides a power system model simulation test device, including:

[0074] The first simulation execution unit 201 is used to acquire the first power system simulation model and perform simulation based on the first power system simulation model to obtain the first simulation dataset. The first power system simulation model is constructed by a preset first simulation software.

[0075] The topology mapping conversion unit 202 is used to establish a mapping relationship between the components of the second simulation software and the components of the first power system simulation model, and to convert the first power system simulation model into a second power system simulation model based on the second simulation software through topology mapping.

[0076] The second simulation execution unit 203 is used to perform operational simulation based on the second power system simulation model to obtain the second simulation dataset.

[0077] The simulation test result determination unit 204 is used to determine the simulation test results of the second power system simulation model based on the comparison results of the first simulation dataset and the second simulation dataset.

[0078] Furthermore, the simulation test result determination unit 204 is specifically used for:

[0079] Using the correlation coefficient calculation formula, based on the first simulation data and the second simulation dataset, the correlation coefficients between similar simulation data in the first simulation data and the second simulation dataset are calculated according to the type of simulation data.

[0080] Based on the correlation coefficients of various similar simulation data, the comprehensive correlation coefficient of each correlation coefficient is calculated. Based on the comparison between the comprehensive correlation coefficient and the preset judgment threshold, the simulation test results of the second power system simulation model are determined.

[0081] Furthermore, the specific formula for calculating the correlation coefficient is as follows:

[0082]

[0083] In the formula, ρ i M is the correlation coefficient between the i-th type of simulation data in the first simulation data and the second simulation data set. i,j Let N be the value of the j-th data point of the i-th type of simulation data in the first simulation dataset. i,jLet be the value of the j-th data point of the i-th type of simulation data in the second simulation dataset, where i represents the index of the simulation data type, j represents the index of the data point, and n is the number of data points.

[0084] Furthermore, the topology mapping transformation unit 202 is specifically used for:

[0085] Read the component information of each component in the first power system simulation model to obtain the first component set;

[0086] Obtain the initial component set of the preset second simulation software, match the components in the initial component set with the first component set, and establish a mapping relationship between the components matched from the initial component set and the components in the first component set to obtain the second component set that is mapped to the first component set, so as to obtain the second power system simulation model based on the second component set.

[0087] Furthermore, the comprehensive correlation coefficient can be the weighted sum or weighted average of the correlation coefficients of the various types of simulation data. Generally, the weighted sum is preferred as the comprehensive correlation coefficient, and its expression is:

[0088]

[0089] In addition to the above-described embodiments of the power system model simulation test device, this application also provides a detailed description of an embodiment of the power system model simulation test terminal and an embodiment of a computer-readable storage medium, as follows:

[0090] like Figure 5 As shown, this embodiment also provides a power system model simulation test terminal. The terminal type includes, but is not limited to, personal computers, industrial computers, servers and embedded smart terminals. The main components of the terminal include: memory 33 and processor 31, wherein processor 31 and memory 33 can be connected through communication bus 34.

[0091] Memory 33 is used to store program code corresponding to the power system model simulation test method provided in the above embodiments;

[0092] The processor 31 is used to acquire program code in the memory and execute the program code to implement the power system model simulation test method provided in the above embodiments.

[0093] In addition, this application also provides a computer-readable storage medium storing program code corresponding to the power system model simulation test method provided in the above embodiments.

[0094] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the terminals, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0095] In the several embodiments provided in this application, it should be understood that the disclosed terminals, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0096] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0097] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0098] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0099] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0100] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0101] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method of testing a power system model simulation, characterized by, The method comprises the following steps: obtaining a first power system simulation model, and performing operation simulation based on the first power system simulation model to obtain a first simulation data set, wherein the first power system simulation model is obtained by a preset first simulation software; reading element information of each component element in the first power system simulation model to obtain a first element set; obtaining an initial element set of a preset second simulation software, matching elements in the initial element set in combination with the first element set, and establishing a mapping relationship between the elements matched from the initial element set and the elements in the first element set to obtain a second element set that is mutually mapped with the first element set, so as to obtain a second power system simulation model based on the second element set; performing operation simulation based on the second power system simulation model to obtain a second simulation data set; determining a simulation test result of the second power system simulation model according to a comparison result of the first simulation data set and the second simulation data set.

2. The method of claim 1, wherein, The determination of the simulation test result of the second power system simulation model according to the comparison result of the first simulation data set and the second simulation data set specifically comprises: calculating, based on the first simulation data and the second simulation data set, a correlation coefficient between each item of the same type of simulation data in the first simulation data and the second simulation data set according to the type of the simulation data by using a correlation coefficient calculation formula; calculating a comprehensive correlation coefficient between the first simulation data and the second simulation data set based on the correlation coefficients of the same type of simulation data in combination with a preset weight coefficient, so as to determine the simulation test result of the second power system simulation model based on a comparison result of the comprehensive correlation coefficient and a preset determination threshold.

3. The method of claim 2, wherein, The correlation coefficient calculation formula is specifically: ； In the formula, is a correlation coefficient of the i-th type of simulation data in the first simulation data and the second simulation data, is a value of the j-th data point of the i-th type of simulation data in the first simulation data, is a value of the j-th data point of the i-th type of simulation data in the second simulation data, i represents the serial number of the simulation data type, j represents the serial number of the data point, and n is the number of data points.

4. The method of claim 2, wherein, The comprehensive correlation coefficient is specifically a weighted sum value or a weighted average value of the correlation coefficients of each item of the same type of simulation data.

5. An electric power system model simulation test apparatus characterized by comprising: The method comprises the following steps: a first simulation execution unit is configured to obtain a first power system simulation model, and perform operation simulation based on the first power system simulation model to obtain a first simulation data set, wherein the first power system simulation model is obtained by a preset first simulation software; a topology mapping conversion unit is configured to read element information of each component element in the first power system simulation model to obtain a first element set, obtain an initial element set of a preset second simulation software, match elements in the initial element set in combination with the first element set, and establish a mapping relationship between the elements matched from the initial element set and the elements in the first element set to obtain a second element set that is mutually mapped with the first element set, so as to obtain a second power system simulation model based on the second element set; a second simulation execution unit is configured to perform operation simulation based on the second power system simulation model to obtain a second simulation data set; a simulation test result determination unit is configured to determine a simulation test result of the second power system simulation model according to a comparison result of the first simulation data set and the second simulation data set.

6. A power system model emulation test apparatus according to claim 5, wherein The simulation test result determination unit is specifically configured to: According to a type of the simulation data, the correlation coefficient between each item of the same type of simulation data in the first simulation data and the second simulation data set is calculated based on the first simulation data and the second simulation data set through a correlation coefficient calculation formula; Based on the correlation coefficients of the simulation data, the comprehensive correlation coefficient between the first simulation data and the second simulation data set is calculated by combining a preset weight coefficient, so as to determine the simulation test result of the second power system simulation model based on a comparison result of the comprehensive correlation coefficient and a preset determination threshold.

7. A power system model simulation test terminal, characterized by, Comprise: A memory and a processor; The memory is used to store program codes corresponding to the power system model simulation test method according to any one of claims 1 to 4; The processor is used to obtain the program codes in the memory, and realize the power system model simulation test method according to any one of claims 1 to 4 by executing the program codes.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium has program codes corresponding to the power system model simulation test method according to any one of claims 1 to 4.

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