Power system time-varying load dynamic modeling method and device, and medium

Abstract

The invention belongs to the technical field of power simulation, and particularly relates to a power system time-varying load dynamic modeling method and device and a medium. The method comprises the following steps: S1, according to a simulation demand, acquiring actual load data acquired by a set number of users within a set time length according to a set sampling interval; s2, in the simulation process, according to the set simulation updating time, the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation updating time, the load element impedance corresponding to the user is updated in real time. According to the method, the actually measured actual load data is directly utilized to drive power simulation, the time-varying characteristic, randomness and correlation of the real load are restored to the maximum extent, and the accuracy and credibility of a simulation result are remarkably improved; and different load conditions can be simulated through simple data file configuration, and the applicability is extremely high. The technical problems that in the prior art, power system load modeling is low in flexibility, and the simulation process is disjointed with real data are solved.

Description

Technical Field

[0001] This invention belongs to the field of power simulation technology, specifically relating to a method, device, and medium for dynamic modeling of time-varying loads in power systems. Background Technology

[0002] Power system simulation is a crucial tool for studying system stability, planning power grid development, and analyzing fault phenomena. Load models are an essential component of power system models, and their accuracy directly impacts the reliability of simulation results. Traditional load modeling methods typically represent loads as a static combination model (ZIP model) with constant impedance (Z), constant current (I), and constant power (P), using fixed parameters. However, the load in a real power grid consists of thousands of electrical devices, whose total power varies dramatically with time and user behavior, exhibiting significant time-varying and stochastic characteristics. Using a fixed static load model cannot accurately reflect these dynamic changes, leading to significant deviations between simulations and actual conditions.

[0003] Currently, to improve the accuracy of load models, the industry commonly uses methods based on historical statistical data or typical daily curves to set load ratios. While this method considers load variations to some extent, it still has the following shortcomings: 1) The data granularity is relatively coarse, usually representing the total regional load, which cannot accurately reflect the load details of individual users or specific feeders; 2) It lacks flexibility, as once set, it is difficult to quickly adjust and update it in simulation based on new measured data; 3) The simulation process is disconnected from real data, making it impossible to achieve high-fidelity simulation driven by data. Summary of the Invention

[0004] The purpose of this invention is to provide a method, device, and medium for dynamic modeling of time-varying loads in power systems, in order to solve the technical problems of low flexibility and disconnect between simulation process and real data in existing power system load modeling.

[0005] To solve the above-mentioned technical problems, the present invention provides a technical solution for a dynamic modeling method for time-varying loads in power systems, comprising: a dynamic modeling method for time-varying loads in power systems, the method comprising: S1. Based on simulation requirements, obtain actual load data collected by a set number of users within a set time period according to a set sampling interval; S2. During the simulation, the impedance of the load element corresponding to the user is updated in real time according to the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation update time, based on the set simulation update time.

[0006] The beneficial effects of the above technical solution are as follows: This invention directly utilizes measured actual load data to drive power simulation, maximally restoring the time-varying characteristics, randomness, and correlation of the real load, significantly improving the accuracy and reliability of the simulation results; furthermore, during the simulation process, load conditions of different scenarios and user combinations can be simulated through simple data file configuration without modifying the simulation model itself, making it highly applicable. This invention solves the technical problems of low flexibility and disconnect between the simulation process and real data in existing power system load modeling technologies.

[0007] Furthermore, the load data includes active power and reactive power.

[0008] Furthermore, the impedance of the load element is calculated according to the following formula: in, P Active power; Q Reactive power; U The bus voltage connected to the load element; R The resistance of the load element; X The reactance of the load element; Z The impedance of the load element; j It is the imaginary unit.

[0009] Furthermore, the load element is initially configured as a constant power load model.

[0010] Furthermore, the actual load data is the raw load data after preprocessing; the preprocessing includes cleaning to remove unreliable data from the raw load data, alignment to unify the time base and resolution, and formatting to convert the raw load data into a standard format.

[0011] Furthermore, the actual load data is stored in CSV file format.

[0012] Furthermore, at the start or initialization phase of the simulation, the storage path of the CSV file is connected to obtain actual load data from the CSV file to update the impedance of the load element during the simulation process.

[0013] Furthermore, based on simulation requirements, the simulation update time is set to be greater than, equal to, or less than the set sampling interval to achieve deceleration simulation, constant speed simulation, or acceleration simulation accordingly.

[0014] The present invention also provides a technical solution for a power system time-varying load dynamic modeling device: a power system time-varying load dynamic modeling device, comprising a processor, the processor being used to execute a computer program to implement the following steps of a power system time-varying load dynamic modeling method: S1. Based on simulation requirements, obtain actual load data collected by a set number of users within a set time period according to a set sampling interval; S2. During the simulation, the impedance of the load element corresponding to the user is updated in real time according to the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation update time, based on the set simulation update time.

[0015] The beneficial effects of the above technical solution are as follows: This invention directly utilizes measured actual load data to drive power simulation, maximally restoring the time-varying characteristics, randomness, and correlation of the real load, significantly improving the accuracy and reliability of the simulation results; furthermore, during the simulation process, load conditions of different scenarios and user combinations can be simulated through simple data file configuration without modifying the simulation model itself, making it highly applicable. This invention solves the technical problems of low flexibility and disconnect between the simulation process and real data in existing power system load modeling technologies.

[0016] Furthermore, the load data includes active power and reactive power.

[0017] Furthermore, the impedance of the load element is calculated according to the following formula: in, P Active power; Q Reactive power; U The bus voltage connected to the load element; R The resistance of the load element; X The reactance of the load element; Z The impedance of the load element; j It is the imaginary unit.

[0018] Furthermore, the load element is initially configured as a constant power load model.

[0019] Furthermore, the actual load data is the raw load data after preprocessing; the preprocessing includes cleaning to remove unreliable data from the raw load data, alignment to unify the time base and resolution, and formatting to convert the raw load data into a standard format.

[0020] Furthermore, the actual load data is stored in CSV file format.

[0021] Furthermore, at the start or initialization phase of the simulation, the storage path of the CSV file is connected to obtain actual load data from the CSV file to update the impedance of the load element during the simulation process.

[0022] Furthermore, based on simulation requirements, the simulation update time is set to be greater than, equal to, or less than the set sampling interval to achieve deceleration simulation, constant speed simulation, or acceleration simulation accordingly.

[0023] The present invention also provides a technical solution for a computer-readable storage medium: a computer-readable storage medium having a computer program stored internally thereon, the computer program being executed by a processor to implement the steps of the power system time-varying load dynamic modeling method described below: S1. Based on simulation requirements, obtain actual load data collected by a set number of users within a set time period according to a set sampling interval; S2. During the simulation, the impedance of the load element corresponding to the user is updated in real time according to the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation update time, based on the set simulation update time.

[0024] The beneficial effects of the above technical solution are as follows: This invention directly utilizes measured actual load data to drive power simulation, maximally restoring the time-varying characteristics, randomness, and correlation of the real load, significantly improving the accuracy and reliability of the simulation results; furthermore, during the simulation process, load conditions of different scenarios and user combinations can be simulated through simple data file configuration without modifying the simulation model itself, making it highly applicable. This invention solves the technical problems of low flexibility and disconnect between the simulation process and real data in existing power system load modeling technologies.

[0025] Furthermore, the load data includes active power and reactive power.

[0026] Furthermore, the impedance of the load element is calculated according to the following formula: in, P Active power; Q Reactive power; U The bus voltage connected to the load element; R The resistance of the load element; X The reactance of the load element; Z The impedance of the load element; j It is the imaginary unit.

[0027] Furthermore, the load element is initially configured as a constant power load model.

[0028] Furthermore, the actual load data is the raw load data after preprocessing; the preprocessing includes cleaning to remove unreliable data from the raw load data, alignment to unify the time base and resolution, and formatting to convert the raw load data into a standard format.

[0029] Furthermore, the actual load data is stored in CSV file format.

[0030] Furthermore, at the start or initialization phase of the simulation, the storage path of the CSV file is connected to obtain actual load data from the CSV file to update the impedance of the load element during the simulation process.

[0031] Furthermore, based on simulation requirements, the simulation update time is set to be greater than, equal to, or less than the set sampling interval to achieve deceleration simulation, constant speed simulation, or acceleration simulation accordingly. Attached Figure Description

[0032] Figure 1 This is a flowchart illustrating an implementation method for the dynamic modeling method of time-varying load in a power system according to the present invention. Figure 2 This is an example diagram of a standardized data file format for an implementation of the power system time-varying load dynamic modeling method of the present invention. Figure 3 This is a schematic diagram illustrating the adaptive calculation principle of load element impedance in the simulation model of the implementation method of the dynamic modeling method for time-varying loads in power systems of the present invention. Detailed Implementation

[0033] This invention directly utilizes measured actual load data to drive power simulation, maximizing the reproduction of the time-varying characteristics, randomness, and correlation of real loads, significantly improving the accuracy and reliability of simulation results. Furthermore, during the simulation process, different scenarios and user combinations can be simulated through simple data file configuration without modifying the simulation model itself, making it highly applicable. This invention solves the technical problems of low flexibility and disconnect between the simulation process and real data in existing power system load modeling technologies.

[0034] Implementation methods for dynamic modeling of time-varying loads in power systems: The core of this invention lies in bridging the load curve data and the simulation model through data preprocessing and automated software scripts to achieve dynamic updates of load impedance. This embodiment uses a combination of Python scripts and PSCAD (PowerSystems Computer Aided Design) simulation software as an example, but this method is not limited to a specific simulation platform.

[0035] like Figure 1 As shown, the power system time-varying load dynamic modeling method of this embodiment includes the following steps: 1. Data preparation and preprocessing: Suppose we have obtained active and reactive power data from 100 users over 72 hours from an electricity consumption data collection system (or SCADA system), with a sampling interval of 15 minutes (a total of 288 data points, or three days). Use Python's pandas library to clean, align, and format the data (i.e., preprocessing), and generate a CSV file named load_data.csv. Figure 2 The standardized file format generates the file as shown below: TimeIndex, User1_P, User1_Q, User2_P, User2_Q, ..., User100_P,User100_Q 1, 137.75, 118.53, 271.92, 171.78, ..., 92.44, 42.77 2, 133.42, 114.19, 315.76, 193.63, ..., 87.92, 40.83 ... 288, 121.59, 104.72, 281.49, 175.33, ..., 121.68, 55.29 The first line of this file is a comment line explaining the meaning of each column of data. For example, TimeIndex represents the sequence number; User1_P and User1_Q represent the active and reactive power of the first user, respectively; the first column is the data point number (representing which sampling point); starting from the second column, every two columns are grouped together, storing the P and Q values ​​of the first user, the second user, and so on. There are a total of 200 columns of data, representing the P and Q values ​​of 100 users.

[0036] Specifically, for preprocessing, the raw load data is usually collected directly from metering devices or monitoring systems, and often contains problems such as noise, anomalies, and missing data. If it is not preprocessed, it will directly affect the accuracy, reliability, and practicality of the model.

[0037] Data cleaning function: Identifies and processes unreliable data in the raw data, such as outliers, missing values, duplicate records, and unreasonable data.

[0038] Data alignment function: unifies load data from different sampling frequencies, timestamps, or metering points to the same time base and resolution.

[0039] Data formatting function: Converts cleaned and aligned data into a standardized structure required for modeling.

[0040] In other implementations, TXT format can also be used as the standardized file format, with data columns separated by commas, spaces, or tabs.

[0041] 2. Simulation model construction: Build a simple power distribution network simulation model in PSCAD, including a power source, a feeder, and 100 parallel static load elements (Load1 to Load100). Each load element can be initially set as a constant power load model and connected to the corresponding bus. Create the appropriate number of load elements according to the number of users to be simulated, and initially set their basic parameters such as connection bus and rated voltage.

[0042] In other implementations, simulation models can also be built in other power system simulation software, whichever suits the simulation requirements, such as EMTDC (Electromagnetic Transients including DC) or Simulink in MATLAB (Matrix Laboratory).

[0043] 3. Data reading and dynamic assignment: Before the simulation begins or during the initialization phase, the path to the aforementioned data file, the update time for reading the data, and the index of the data column corresponding to each load element are specified through a script or custom module configuration interface. After the simulation runs, at the start of each data reading time, a row of data corresponding to the timestamp in the data file is read, and the P and Q values ​​of specific columns in that row are extracted according to the preset column index and assigned to the corresponding load elements in the simulation model.

[0044] That is, using PSCAD's custom component functionality (or via the DLL interface), create a module named DataReader. In the module's parameter settings dialog box, set the following: DataFile Path: “C:\data\load_data.csv” Time Step (s): 5 (Actual data sampling interval is 15 minutes, simulation interval is 5 seconds to speed up simulation) Column Mapping: Assign column index (2,3) to Load1, column index (4,5) to Load2, ..., column index (200,201) to Load100.

[0045] After the simulation starts, the DataReader module reads the next row of data in load_data.csv at each update time (e.g., every 5 seconds) and assigns the values ​​of columns 2 and 3 to Load1, and the values ​​of columns 4 and 5 to Load2, until all load values ​​are assigned.

[0046] This implementation establishes a mapping relationship between user load elements and specific column numbers in the data file in the above manner, thereby accurately allocating the power data of the Nth user to the Mth load element in the simulation model.

[0047] In other implementations, the set update time can be adjusted according to different simulation duration requirements, and can be set to the second level or the minute level. By setting the update time to be less than, equal to or greater than the data sampling interval in the actual load curve, accelerated simulation, constant speed or deceleration simulation can be performed.

[0048] 4. Adaptive calculation of load impedance: Upon receiving new P and Q values, each load element uses them as its power setpoint for that moment. Simultaneously, the element monitors the system voltage U of its connected bus in real time. It automatically calculates the equivalent impedance value to be presented according to a formula and immediately updates the element's internal impedance parameters. In this way, the load's impedance characteristics adaptively adjust to the dynamic changes in externally assigned power and system voltage, accurately simulating the actual power consumption behavior of the load.

[0049] Taking Load1 as an example, according to Figure 3 The diagram shown illustrates the adaptive impedance calculation principle of the load element. At a certain simulation moment, it is assigned values ​​of P_set = 137.75kW and Q_set = 118.53kvar. Simultaneously, it monitors the bus voltage at its connection point, U = 0.985 pu (assuming a rated voltage of 10kV). The load element immediately initiates its internal calculation process: Calculate the load resistance: ; Calculate load reactance: ; Based on the calculated R and X values, immediately update the impedance parameters of Load1: Z = R + jX =404.70+ j 348.23.

[0050] Subsequently, in the next simulation step, new P and Q values ​​are read and assigned, and the load impedance is recalculated and updated again based on the new setpoints and real-time voltage. This cycle repeats until the simulation ends.

[0051] Implementation method of dynamic modeling device for time-varying load in power system: A power system time-varying load dynamic modeling apparatus includes a processor for executing a computer program to implement the steps of the power system time-varying load dynamic modeling method described above. The specific power system time-varying load dynamic modeling method has been described in sufficient detail in the above-described embodiments. The method includes: S1. Based on simulation requirements, obtain actual load data collected by a set number of users within a set time period according to a set sampling interval.

[0052] Furthermore, the load data includes active power and reactive power.

[0053] The actual load data is the raw load data after preprocessing. The preprocessing includes cleaning to remove unreliable data from the raw load data, alignment to unify the time base and resolution, and formatting to convert the raw load data into a standard format. Furthermore, the actual load data is stored in CSV file format.

[0054] Furthermore, at the start or initialization phase of the simulation, the storage path of the CSV file is connected to obtain actual load data from the CSV file to update the impedance of the load element during the simulation process.

[0055] Load curve data (including active power P and reactive power Q) from multiple users collected through on-site power consumption information acquisition systems or SCADA (Supervisory Control and Data Acquisition) systems are preprocessed to generate a standard format data file. The first line of this file is a comment line explaining the meaning of each column of data; the first column is the data point number (representing which sampling point); starting from the second column, every two columns are grouped together, storing the P and Q values ​​of the first user, the P and Q values ​​of the second user, and so on.

[0056] S2. During the simulation, the impedance of the load element corresponding to the user is updated in real time according to the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation update time, based on the set simulation update time.

[0057] Furthermore, the impedance of the load element is calculated according to the following formula: in, P Active power; Q Reactive power; U The bus voltage connected to the load element; R The resistance of the load element; X The reactance of the load element; Z The impedance of the load element; jIt is the imaginary unit.

[0058] Furthermore, the load element is initially set as a constant power load model.

[0059] Furthermore, based on simulation requirements, the simulation update time is set to be greater than, equal to, or less than the set sampling interval to achieve deceleration simulation, constant speed simulation, or acceleration simulation accordingly.

[0060] In power system simulation software (such as PSCAD, EMTDC, MATLAB / Simulink, etc.), based on the number of users to be simulated, a corresponding number of load elements are created, and their basic parameters such as connection bus and rated voltage are initially set.

[0061] Before the simulation begins or during the initialization phase, the path to the aforementioned data file, the update time for reading the data, and the index of the data column corresponding to each load element are specified through a script or custom module configuration interface. After the simulation runs, at the start of each data reading time, a row of data corresponding to the timestamp in the data file is read, and the P and Q values ​​of specific columns in that row are extracted according to the preset column index and assigned to the corresponding load elements in the simulation model.

[0062] Upon receiving new P and Q values, each load element uses them as its power setpoint for that moment. Simultaneously, the element monitors the system voltage U of its connected bus in real time. It automatically calculates the equivalent impedance value to be presented according to a formula and immediately updates the element's internal impedance parameters. In this way, the load's impedance characteristics adaptively adjust to the dynamic changes in externally assigned power and system voltage, accurately simulating the actual power consumption behavior of the load.

[0063] Specifically, a processor can be a CPU, or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. A processor can also be a processor that supports the Advanced Reduced Instruction Set Machine (ARM) architecture.

[0064] Implementation of computer-readable storage media: A computer-readable storage medium stores a computer program internally, the computer program being executed by a processor to implement the steps of the power system time-varying load dynamic modeling method described below. The specific power system time-varying load dynamic modeling method has been described in sufficient detail in the above-described embodiments. The method includes: S1. Based on simulation requirements, obtain actual load data collected by a set number of users within a set time period according to a set sampling interval.

[0065] Furthermore, the load data includes active power and reactive power.

[0066] The actual load data is the raw load data after preprocessing; the preprocessing includes cleaning to remove unreliable data from the raw load data, alignment to unify the time base and resolution, and formatting to convert the raw load data into a standard format.

[0067] Furthermore, the actual load data is stored in CSV file format.

[0068] Furthermore, at the start or initialization phase of the simulation, the storage path of the CSV file is connected to obtain actual load data from the CSV file to update the impedance of the load element during the simulation process.

[0069] Load curve data (including active power P and reactive power Q) from multiple users collected through on-site power consumption information acquisition systems or SCADA (Supervisory Control and Data Acquisition) systems are preprocessed to generate a standard format data file. The first line of this file is a comment line explaining the meaning of each column of data; the first column is the data point number (representing which sampling point); starting from the second column, every two columns are grouped together, storing the P and Q values ​​of the first user, the P and Q values ​​of the second user, and so on.

[0070] S2. During the simulation, the impedance of the load element corresponding to the user is updated in real time according to the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation update time, based on the set simulation update time.

[0071] Furthermore, the impedance of the load element is calculated according to the following formula: in, P Active power; Q Reactive power; U The bus voltage connected to the load element; R The resistance of the load element; XThe reactance of the load element; Z The impedance of the load element; j It is the imaginary unit.

[0072] Furthermore, the load element is initially set as a constant power load model.

[0073] Furthermore, based on simulation requirements, the simulation update time is set to be greater than, equal to, or less than the set sampling interval to achieve deceleration simulation, constant speed simulation, or acceleration simulation accordingly.

[0074] In power system simulation software (such as PSCAD, EMTDC, MATLAB / Simulink, etc.), based on the number of users to be simulated, a corresponding number of load elements are created, and their basic parameters such as connection bus and rated voltage are initially set.

[0075] Before the simulation begins or during the initialization phase, the path to the aforementioned data file, the update time for reading the data, and the index of the data column corresponding to each load element are specified through a script or custom module configuration interface. After the simulation runs, at the start of each data reading time, a row of data corresponding to the timestamp in the data file is read, and the P and Q values ​​of specific columns in that row are extracted according to the preset column index and assigned to the corresponding load elements in the simulation model.

[0076] Upon receiving new P and Q values, each load element uses them as its power setpoint for that moment. Simultaneously, the element monitors the system voltage U of its connected bus in real time. It automatically calculates the equivalent impedance value to be presented according to a formula and immediately updates the element's internal impedance parameters. In this way, the load's impedance characteristics adaptively adjust to the dynamic changes in externally assigned power and system voltage, accurately simulating the actual power consumption behavior of the load.

[0077] Specifically, the computer-readable storage medium can be volatile memory or non-volatile memory, or a combination of both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which serves as an external cache. For example, Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate Synchronous DRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), SynchLink DRAM (SLDRAM), or Direct Rambus RAM (DRRAM).

[0078] This invention has the following characteristics: 1. High fidelity: The simulation is driven directly by on-site measured data, which restores the time-varying characteristics, randomness and correlation of the real load to the greatest extent, and significantly improves the accuracy and reliability of the simulation results.

[0079] 2. Flexibility and versatility: By simply replacing data files and configuring column indexes, it can simulate the load conditions of different scenarios and user combinations without modifying the simulation model itself, making it highly applicable.

[0080] 3. Automation and Integration: It achieves an automated closed loop from data to simulation. The simulation process requires no manual intervention; data reading, assignment, and impedance calculation are all completed automatically, making it easy to integrate into existing commercial simulation software.

[0081] 4. Refined Management: Supports user-level load modeling, providing powerful technical means for advanced applications such as refined simulation of distribution networks, evaluation of demand-side response effects, and analysis of the impact of distributed energy access.

[0082] The modeling method of this invention can be applied simultaneously to multiple load elements in a simulation model. Each load element is independently assigned its corresponding load curve data, and its impedance is calculated in parallel, enabling comprehensive and refined modeling of a regional power grid or distribution substation containing multiple differentiated electricity consumers. This invention achieves high-fidelity simulation driven by real data, significantly improving the accuracy and reliability of power system simulation analysis, and is suitable for advanced application scenarios such as power system analysis, planning, and operation optimization.

[0083] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still make modifications to the technical solutions described in the foregoing embodiments without creative effort, or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for dynamic modeling of time-varying loads in a power system, characterized in that, The method includes: S1. Based on simulation requirements, obtain actual load data collected by a set number of users within a set time period according to a set sampling interval; S2. During the simulation, the impedance of the load element corresponding to the user is updated in real time according to the parameters of the power distribution network simulation model and the actual load data corresponding to the simulation update time, based on the set simulation update time.

2. The method for dynamic modeling of time-varying loads in power systems according to claim 1, characterized in that, The load data includes active power and reactive power.

3. The method for dynamic modeling of time-varying loads in power systems according to claim 2, characterized in that, In S2, the impedance of the load element is calculated according to the following formula: in, P Active power; Q Reactive power; U The bus voltage connected to the load element; R The resistance of the load element; X The reactance of the load element; Z The impedance of the load element; j It is the imaginary unit.

4. The method for dynamic modeling of time-varying loads in power systems according to claim 1, characterized in that, The load element is initially set as a constant power load model.

5. The method for dynamic modeling of time-varying loads in power systems according to claim 1, characterized in that, The actual load data is the raw load data after preprocessing; the preprocessing includes cleaning to remove unreliable data from the raw load data, alignment to unify the time base and resolution, and formatting to convert the raw load data into a standard format.

6. The method for dynamic modeling of time-varying loads in power systems according to claim 1 or 5, characterized in that, The actual load data is stored in CSV file format.

7. The method for dynamic modeling of time-varying loads in power systems according to claim 6, characterized in that, At the start or initialization phase of the simulation, the storage path of the CSV file is connected to obtain the actual load data from the CSV file to update the impedance of the load element during the simulation process.

8. The method for dynamic modeling of time-varying loads in power systems according to claim 1, characterized in that, According to the simulation requirements, the simulation update time is set to be greater than, equal to or less than the set sampling interval to realize deceleration simulation, constant speed simulation or acceleration simulation accordingly.

9. A dynamic modeling device for time-varying loads in a power system, comprising a processor, characterized in that, The processor is used to execute a computer program to implement the steps of the power system time-varying load dynamic modeling method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, wherein a computer program is stored internally, characterized in that, The computer program is executed by a processor to implement the steps of the power system time-varying load dynamic modeling method as described in any one of claims 1 to 8.

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