Synchronous generator excitation system modeling method and system for transient power system and medium

Abstract

The invention relates to a synchronous generator excitation system modeling method and system for a transient power system and a medium. The method comprises the following steps: establishing a mathematical model of a synchronous generator; establishing an excitation system model; setting parameters; setting simulation parameters including rated power, rated voltage and rated current of the generator according to actual operation conditions of the generator and a power grid structure; setting control parameters of the excitation system, wherein the control parameters comprise excitation voltage, limit values of excitation current and response time of the excitation system; performing transient stability analysis; verifying and optimizing; and comparing and verifying the simulation result with the actual operation data of the generator to evaluate the accuracy and reliability of the model, and optimizing and adjusting the model according to the verification result to improve the prediction precision and practicability of the model. The method can effectively evaluate the stability of the system, provides optimization measures, and improves the fault ride-through capability of the system.

Description

Technical Field

[0001] The present application relates to the field of power systems, and in particular to a method, system and medium for modeling a synchronous generator excitation system for a transient power system. Background Art

[0002] In power systems, the transient stability of synchronous generators is crucial for the safe operation of the entire grid. While traditional power system simulation tools can provide basic generator and grid structure analysis, they often lack the accuracy to accurately simulate the detailed mathematical model of the generator excitation system and its transient response. Consequently, predictions of the generator's dynamic behavior under grid fault conditions can be inaccurate, impacting the stable operation of the power system. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a synchronous generator excitation system modeling method, system and medium for transient power systems, overcome the shortcomings of the existing technology, and provide strong technical support for the stable operation of the power system.

[0004] To achieve the above objectives, this application provides the following technical solutions:

[0005] In a first aspect, an embodiment of the present application provides a method for modeling a synchronous generator excitation system for a transient power system, comprising the following specific steps:

[0006] Establish a mathematical model of the synchronous generator; based on the physical characteristics of the synchronous generator and the control principle of the excitation system, establish a detailed mathematical model including the stator, rotor and excitation system;

[0007] The excitation system model is established; an improved static excitation system is proposed, which includes multiple amplification stages and feedback loops;

[0008] Parameter setting: Set simulation parameters according to the actual generator operating conditions and grid structure, including the rated power, rated voltage, and rated current of the generator; set the control parameters of the excitation system, including the limit values of the excitation voltage and excitation current, and the response time of the excitation system;

[0009] Step 4: Transient stability analysis: Use simulation tools to run the model and observe and record the dynamic behavior of the generator under grid fault conditions, including changes in rotor angle, excitation voltage, and stator current parameters. Analyze the changing trends and interrelationships of these parameters to assess the transient stability of the generator. Based on the assessment results, adjust the control strategy of the excitation system or the operating parameters of the generator to improve the stability of the power system.

[0010] Step 5: Verification and optimization: Compare and verify the simulation results with the actual generator operation data to evaluate the accuracy and reliability of the model. Based on the verification results, optimize and adjust the model to improve the model's prediction accuracy and practicality.

[0011] The detailed mathematical model including the stator, rotor and excitation system is established as follows:

[0012] The stator model is specifically:

[0013]

[0014] Among them, ω r is the rated speed, ω B is the basic speed, and Produced by the rotating field, called velocity voltage, and is the transformer voltage, i d and i q is the stator current, R a is the stator resistance, e d and e q is the electric potential;

[0015] The rotor model is as follows:

[0016] Where x″, x′, and x represent the reactance in subtransient, transient, and steady states, respectively; i represents the current. represents the magnetic flux of the damping coil;

[0017] The mechanical model is as follows:

[0018] Where H is the inertia constant, T m is the time constant, represents the magnetic flux of the direct axis and quadrature axis, i d 、i q Indicates the direct-axis and quadrature-axis currents.

[0019] The excitation system includes multiple amplification stages and feedback loops, specifically:

[0020] Voltage Regulator Deviation:

[0021] The first stage amplifier of the voltage controller:

[0022] Second stage amplifier of voltage controller:

[0023] Current regulator deviation:

[0024] The first stage amplifier of the current controller:

[0025] Second stage amplifier of current controller:

[0026] Among them, V ref is the reference voltage, K E is the voltage controller gain, T E is the voltage controller time constant, T A 、T B is the time constant, is the excitation current reference value, I fd is the excitation current, T I 、T D 、T C is the time constant of the current controller, AKI is the gain of the current controller, x1, x2, x3, and x4 are the line transmission reactances;

[0027] The mathematical model of the synchronous generator consists of a single-machine infinite bus. In order to connect the generator to the network for system research, the variables must be converted to the synchronous reference frame using the Park transformation method.

[0028] The transient stability analysis uses FRR test to verify the accuracy of the generator model and uses FRT test to analyze the stability of the system under different load conditions.

[0029] The verification and evaluation indicators include the main voltage loop PID parameter control effect, PSS damping effect, underexcitation limit, overexcitation limit and stator current limit.

[0030] Before the simulation test, it also includes:

[0031] Input the electrical parameters of the synchronous generator, no-load saturation characteristic curve, excitation transformer electrical parameters, main transformer electrical parameters, and main transformer high-voltage side system contact reactance into the simulation test system;

[0032] Start the simulation test system. The synchronous generator is initially in a no-load state. After the synchronous generator speed reaches the rated speed, the excitation start switch and excitation drop switch are turned on in sequence. The excitation voltage of the synchronous generator reaches the no-load rated voltage.

[0033] Perform ±5% no-load step, record the synchronous generator terminal voltage ±5% no-load step response simulation curve and compare it with the actual unit's ±5% no-load step response curve to calibrate the accuracy of the simulation system;

[0034] Turn on the synchronization switch and wait for the synchronous generator to be connected to the grid after synchronization inspection and then be incorporated into the controllable voltage source;

[0035] Slowly increase the governor output to raise the generator power to full load.

[0036] In a second aspect, an embodiment of the present application provides a synchronous generator excitation system modeling system for a transient power system, comprising a mathematical model unit of a synchronous generator, an excitation system model unit, a parameter setting unit, a transient stability analysis unit, and a verification and optimization unit; wherein,

[0037] The mathematical model unit of the synchronous generator is used to establish a mathematical model of the synchronous generator; according to the physical characteristics of the synchronous generator and the control principle of the excitation system, a detailed mathematical model including the stator, rotor and excitation system is established;

[0038] The excitation system model unit is used to establish an excitation system model; an improved static excitation system is proposed, which includes multiple amplification stages and feedback loops;

[0039] The parameter setting unit is used for parameter setting; setting simulation parameters according to the actual operating conditions of the generator and the grid structure, including the rated power, rated voltage, and rated current of the generator; setting control parameters of the excitation system, including the limit values of the excitation voltage and excitation current and the response time of the excitation system;

[0040] The transient stability analysis unit is used for transient stability analysis. It uses a simulation tool to run a model to observe and record the dynamic behavior of the generator under grid fault conditions, including changes in rotor angle, excitation voltage, and stator current parameters. It analyzes the changing trends and interrelationships of these parameters to evaluate the transient stability of the generator. Based on the evaluation results, it adjusts the control strategy of the excitation system or the operating parameters of the generator to improve the stability of the power system.

[0041] The verification and optimization unit is used for verification and optimization; the simulation results are compared and verified with the operating data of the actual generator to evaluate the accuracy and reliability of the model, and the model is optimized and adjusted according to the verification results to improve the prediction accuracy and practicality of the model.

[0042] In a third aspect, an embodiment of the present application provides a computer-readable storage medium storing program code, which, when executed by a processor, implements the steps of the method for modeling a synchronous generator excitation system for a transient power system as described above.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. Improve the accuracy of power system transient stability analysis: Through sophisticated mathematical models and simulation parameter settings, the dynamic response of the generator excitation system under grid fault conditions can be more realistically reflected.

[0045] 2. Enhance the safety of the power system: By evaluating the transient stability of the generator, potential stability problems can be discovered in a timely manner and corresponding measures can be taken to prevent and solve them.

[0046] 3. Promote the development of power system simulation technology: The method of the present invention provides new ideas and methods for power system simulation, which helps to promote the continuous innovation and development of simulation technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 Flow chart of the method of the present invention.

[0049] Figure 2 This is a schematic diagram of the system structure of the present invention.

[0050] Figure 3 This is the FRR simulation result diagram of the present invention. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described below in conjunction with the accompanying drawings. It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0052] The terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0053] The terms "first," "second," etc. are only used to distinguish one entity or operation from another entity or operation, and are not to be understood as indicating or implying relative importance, nor are they to be understood as requiring or implying any actual relationship or order between these entities or operations.

[0054] like Figure 1A synchronous generator excitation system modeling method for a transient power system is shown, comprising:

[0055] Step 1: Establish a mathematical model of the synchronous generator; according to the physical characteristics of the synchronous generator and the control principle of the excitation system, establish a detailed mathematical model including the stator, rotor and excitation system;

[0056] The stator model is specifically:

[0057]

[0058] Among them, ω r is the rated speed, ω B is the basic speed, and Produced by the rotating field, called velocity voltage, and is the transformer voltage, i d and i q is the stator current, R a is the stator resistance, e d and e q is the electric potential;

[0059] The rotor model is as follows:

[0060] Where x″, x′, and x represent the reactance in subtransient, transient, and steady states, respectively; i represents the current. represents the magnetic flux of the damping coil;

[0061] The mechanical model is as follows:

[0062] Where H is the inertia constant, T m is the time constant, represents the magnetic flux of the direct axis and quadrature axis, i d 、i q Indicates the direct-axis and quadrature-axis currents.

[0063] The excitation system includes multiple amplification stages and feedback loops, specifically:

[0064] Voltage Regulator Deviation:

[0065] The first stage amplifier of the voltage controller:

[0066] Second stage amplifier of voltage controller:

[0067] Current regulator deviation:

[0068] The first stage amplifier of the current controller:

[0069] Second stage amplifier of current controller:

[0070] Among them, V ref is the reference voltage, K E is the voltage controller gain, T E is the voltage controller time constant, T A 、T B is the time constant, is the excitation current reference value, I fd is the excitation current, T I 、T D 、T C is the time constant of the current controller, AKI is the gain of the current controller, x1, x2, x3, and x4 are the line transmission reactances;

[0071] Step 3: Parameter setting: According to the actual operating conditions of the generator and the grid structure, set the simulation parameters, including the rated power, rated voltage, and rated current of the generator; set the control parameters of the excitation system, including the limit values of the excitation voltage and excitation current, and the response time of the excitation system;

[0072] Step 4: Transient stability analysis: Use simulation tools to run the model and observe and record the dynamic behavior of the generator under grid fault conditions, including changes in rotor angle, excitation voltage, and stator current parameters. Analyze the changing trends and interrelationships of these parameters to assess the transient stability of the generator. Based on the assessment results, adjust the control strategy of the excitation system or the operating parameters of the generator to improve the stability of the power system.

[0073] Step 5: Verification and optimization: Compare and verify the simulation results with the actual generator operation data to evaluate the accuracy and reliability of the model. Based on the verification results, optimize and adjust the model to improve the model's prediction accuracy and practicality.

[0074] Preferably, the mathematical model of the synchronous generator consists of a single-machine infinite bus. In order to connect the generator to the network for system research, the variables must be converted to the synchronous reference system using the Park transformation method.

[0075] Preferably, the transient stability analysis uses FRR test to verify the accuracy of the generator model, and uses FRT test to analyze the stability of the system under different load conditions.

[0076] Preferably, the verification and evaluation indicators include the main voltage loop PID parameter control effect, PSS damping effect, underexcitation limit, overexcitation limit and stator current limit.

[0077] Preferably, before performing the simulation test, the following steps are further included:

[0078] Input the electrical parameters of the synchronous generator, no-load saturation characteristic curve, excitation transformer electrical parameters, main transformer electrical parameters, and main transformer high-voltage side system contact reactance into the simulation test system;

[0079] Start the simulation test system. The synchronous generator is initially in a no-load state. After the synchronous generator speed reaches the rated speed, the excitation start switch and excitation drop switch are turned on in sequence. The excitation voltage of the synchronous generator reaches the no-load rated voltage.

[0080] Perform ±5% no-load step, record the synchronous generator terminal voltage ±5% no-load step response simulation curve and compare it with the actual unit's ±5% no-load step response curve to calibrate the accuracy of the simulation system;

[0081] Turn on the synchronization switch and wait for the synchronous generator to be connected to the grid after synchronization inspection and then be incorporated into the controllable voltage source;

[0082] Slowly increase the governor output to raise the generator power to full load.

[0083] like Figure 2 As shown, the present invention further provides a synchronous generator excitation system modeling system for a transient power system, comprising: a mathematical model unit of a synchronous generator, an excitation system model unit, a parameter setting unit, a transient stability analysis unit, and a verification and optimization unit; the mathematical model unit of the synchronous generator is used to establish a mathematical model of the synchronous generator; based on the physical characteristics of the synchronous generator and the control principle of the excitation system, a detailed mathematical model including the stator, rotor, and excitation system is established;

[0084] The excitation system model unit is used to establish an excitation system model; an improved static excitation system is proposed, which includes multiple amplification stages and feedback loops;

[0085] The parameter setting unit is used for parameter setting; setting simulation parameters according to the actual operating conditions of the generator and the grid structure, including the rated power, rated voltage, and rated current of the generator; setting control parameters of the excitation system, including the limit values of the excitation voltage and excitation current and the response time of the excitation system;

[0086] The transient stability analysis unit is used for transient stability analysis. It uses a simulation tool to run a model to observe and record the dynamic behavior of the generator under grid fault conditions, including changes in rotor angle, excitation voltage, and stator current parameters. It analyzes the changing trends and interrelationships of these parameters to evaluate the transient stability of the generator. Based on the evaluation results, it adjusts the control strategy of the excitation system or the operating parameters of the generator to improve the stability of the power system.

[0087] The verification and optimization unit is used for verification and optimization; the simulation results are compared and verified with the operating data of the actual generator to evaluate the accuracy and reliability of the model, and the model is optimized and adjusted according to the verification results to improve the prediction accuracy and practicality of the model.

[0088] Preferably, the mathematical model of the synchronous generator consists of a single-machine infinite bus. In order to connect the generator to the network for system research, the variables must be converted to the synchronous reference system using the Park transformation method.

[0089] Preferably, the transient stability analysis unit uses FRR test to verify the accuracy of the generator model and uses FRT test to analyze the stability of the system under different load conditions.

[0090] Preferably, the verification and evaluation indicators of the verification and optimization unit include the main voltage loop PID parameter control effect, PSS damping effect, underexcitation limit, overexcitation limit and stator current limit.

[0091] To validate the generator model, the machine was subjected to a frequency restoration reserve (FRR) run. FRR is a device that can be used to restore the system frequency to the nominal frequency and the power balance to a predetermined value. The transmission system operator provides control signals to automatically change the total power generation. Figure 3 In , the results of the measured and simulated values of the FRR operation are given.

[0092] The object of this application study is a 103 MVA salient pole rotor structure hydro-generator. The parameter data set of the case study is listed in Table 1.

[0093] Table 1 Hydrogenerator parameter data set

[0094]

[0095]

[0096] Assume that the system is initially in steady state and its operating conditions are determined by power flow analysis. t , reactive power Q t , terminal voltage V tThe initial conditions can be determined given the voltage phase angle θ. As previously mentioned, the inputs to the excitation controller include the terminal voltage, the voltage reference, and the slip (if a stabilizer is considered). The transfer reactance x between the generator and the rigid voltage source is adjusted to meet the reactive power output requirements during the test and remains unchanged throughout all simulations. To more accurately estimate the short-circuit MVA during and after the fault (including the remaining grid after the fault), a larger range of grids needs to be included in the study. The system equations are simulated during transient disturbances. Disturbances that the system may face include: step changes in controller reference values, step changes in network parameters caused by faults and switching operations, or step changes in external voltages (such as short-circuit faults with external voltage drops). Since short-circuit testing is not possible for the test cases, typical motor operating modes are used to verify the mathematical model. The simulation results of the system response to disturbances are obtained by numerically integrating the nonlinear system differential equations. The present invention uses a simple explicit Euler forward method for simulation with a time step of Δt = 5 milliseconds.

[0097] From the simulation results, we can see that the actual measured value and the simulation value curve almost completely overlap, which proves the effectiveness of the model of this application.

[0098] An embodiment of the present application provides a computer-readable storage medium storing program code. When the program code is executed by a processor, the steps of the method for modeling a synchronous generator excitation system for a transient power system are implemented as described above.

[0099] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0100] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0101] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0102] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0103] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0104] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0105] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0106] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A synchronous generator excitation system modeling method for a transient power system, characterized in that: The specific steps include: Establish a mathematical model of the synchronous generator; based on the physical characteristics of the synchronous generator and the control principle of the excitation system, establish a detailed mathematical model including the stator, rotor and excitation system; The excitation system model is established; an improved static excitation system is proposed, which includes multiple amplification stages and feedback loops; Parameter setting: Set simulation parameters according to the actual generator operating conditions and grid structure, including the rated power, rated voltage, and rated current of the generator; set the control parameters of the excitation system, including the limit values of the excitation voltage and excitation current, and the response time of the excitation system; Step 4: Transient stability analysis: Use simulation tools to run the model and observe and record the dynamic behavior of the generator under grid fault conditions, including changes in rotor angle, excitation voltage, and stator current parameters. Analyze the changing trends and interrelationships of these parameters to assess the transient stability of the generator. Based on the assessment results, adjust the control strategy of the excitation system or the operating parameters of the generator to improve the stability of the power system. Step 5: Verification and optimization: Compare and verify the simulation results with the actual generator operation data to evaluate the accuracy and reliability of the model. Based on the verification results, optimize and adjust the model to improve the model's prediction accuracy and practicality.

2. The synchronous generator excitation system modeling method for a transient power system according to claim 1, characterized in that: The detailed mathematical model including the stator, rotor and excitation system is established as follows: The stator model is specifically: Among them, ω r is the rated speed, ω B is the basic speed, and Produced by the rotating field, called velocity voltage, and is the transformer voltage, i d and i q is the stator current, R a is the stator resistance, e d and e q is the electric potential; The rotor model is as follows: Where x″, x′, and x represent the reactance in subtransient, transient, and steady states, respectively; i represents the current. represents the magnetic flux of the damping coil; The mechanical model is as follows: Where H is the inertia constant, T m is the time constant, represents the magnetic flux of the direct axis and quadrature axis, i d 、i q Indicates the direct-axis and quadrature-axis currents.

3. The synchronous generator excitation system modeling method for a transient power system according to claim 1, characterized in that: The excitation system includes multiple amplification stages and feedback loops, specifically: Voltage Regulator Deviation: The first stage amplifier of the voltage controller: Second stage amplifier of voltage controller: Current regulator deviation: The first stage amplifier of the current controller: Second stage amplifier of current controller: Among them, V ref is the reference voltage, K E is the voltage controller gain, T E is the voltage controller time constant, T A 、T B is the time constant, is the excitation current reference value, I fd is the excitation current, T I 、T D 、T C is the time constant of the current controller, AKI is the gain of the current controller, and x1, x2, x3, and x4 are the line transmission reactances.

4. The synchronous generator excitation system modeling method for a transient power system according to claim 1, characterized in that: The mathematical model of the synchronous generator consists of a single-machine infinite bus. In order to connect the generator to the network for system research, the variables must be converted to the synchronous reference frame using the Park transformation method.

5. The synchronous generator excitation system modeling method for a transient power system according to claim 1, characterized in that: The transient stability analysis uses FRR test to verify the accuracy of the generator model and uses FRT test to analyze the stability of the system under different load conditions.

6. The synchronous generator excitation system modeling method for a transient power system according to claim 1, characterized in that: The verification and evaluation indicators include the main voltage loop PID parameter control effect, PSS damping effect, underexcitation limit, overexcitation limit and stator current limit.

7. The synchronous generator excitation system modeling method for a transient power system according to claim 1, characterized in that: Before the simulation test, it also includes: Input the electrical parameters of the synchronous generator, no-load saturation characteristic curve, excitation transformer electrical parameters, main transformer electrical parameters, and main transformer high-voltage side system contact reactance into the simulation test system; Start the simulation test system. The synchronous generator is initially in a no-load state. After the synchronous generator speed reaches the rated speed, the excitation start switch and excitation drop switch are turned on in sequence. The excitation voltage of the synchronous generator reaches the no-load rated voltage. Perform ±5% no-load step, record the synchronous generator terminal voltage ±5% no-load step response simulation curve and compare it with the actual unit's ±5% no-load step response curve to calibrate the accuracy of the simulation system; Turn on the synchronization switch and wait for the synchronous generator to be connected to the grid after synchronization inspection and then be incorporated into the controllable voltage source; Slowly increase the governor output to raise the generator power to full load.

8. A synchronous generator excitation system modeling system for a transient power system, characterized in that: It includes the mathematical model unit of synchronous generator, excitation system model unit, parameter setting unit, transient stability analysis unit, verification and optimization unit; among them, The mathematical model unit of the synchronous generator is used to establish a mathematical model of the synchronous generator; according to the physical characteristics of the synchronous generator and the control principle of the excitation system, a detailed mathematical model including the stator, rotor and excitation system is established; The excitation system model unit is used to establish an excitation system model; an improved static excitation system is proposed, which includes multiple amplification stages and feedback loops; The parameter setting unit is used for parameter setting; setting simulation parameters according to the actual operating conditions of the generator and the grid structure, including the rated power, rated voltage, and rated current of the generator; setting control parameters of the excitation system, including the limit values of the excitation voltage and excitation current and the response time of the excitation system; The transient stability analysis unit is used for transient stability analysis. It uses a simulation tool to run a model to observe and record the dynamic behavior of the generator under grid fault conditions, including changes in rotor angle, excitation voltage, and stator current parameters. It analyzes the changing trends and interrelationships of these parameters to evaluate the transient stability of the generator. Based on the evaluation results, it adjusts the control strategy of the excitation system or the operating parameters of the generator to improve the stability of the power system. The verification and optimization unit is used for verification and optimization; the simulation results are compared and verified with the operating data of the actual generator to evaluate the accuracy and reliability of the model, and the model is optimized and adjusted according to the verification results to improve the prediction accuracy and practicality of the model.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores program code, and when the program code is executed by a processor, the steps of the synchronous generator excitation system modeling method for a transient power system according to any one of claims 1 to 7 are implemented.

Images