Embedded excitation control method and system for synchronous generator of power system

Abstract

The invention discloses an embedded excitation control method and system for a synchronous generator of a power system and a storage medium. The method comprises the following steps: establishing a simplified model of each unit in the excitation control system of the synchronous generator; the error voltage between the feedback voltage and the given voltage of the synchronous generator is used as the input of the mathematical model of the excitation control unit, and the output of the mathematical model of the PID control unit is the control voltage; obtaining the actual output voltage of the synchronous motor based on the control voltage, and taking the actual output voltage as the input of a measurement unit to obtain the feedback voltage of the synchronous motor; the robustness of the system is enhanced through an improved salat swarm optimization algorithm, and the response speed of the system is increased by adopting an exponential reaching law in a reaching motion section; iterative learning control is adopted, experience knowledge of the system is obtained through a continuous iterative learning process, voltage deviation and fluctuation are obviously reduced along with increase of the number of iterations, and the control precision of the system is improved.

Description

Technical Field

[0001] The present invention relates to the field of excitation control optimization, and particularly to an embedded excitation control method, system and storage medium for synchronous generators in a power system. Background Art

[0002] The excitation control system has strong non - linear and time - varying characteristics. Its components include a synchronous generator, an excitation system and an infinite - bus power grid. In order to design an applicable controller, the mathematical modeling process of the excitation control system is appropriately simplified in this paper. The fifth - order practical model of the synchronous generator based on PARK transformation is simplified to a third - order model, laying a foundation for subsequent parameter optimization.

[0003] Traditional excitation system controllers have deficiencies when facing complex power grid environments and high - performance requirements. For example, a single processor is difficult to quickly respond to the dynamic changes of the power grid, and the acquisition accuracy and processing speed of analog signals such as voltage and current are limited, which cannot meet the strict requirements of modern power systems for the rapidity, accuracy and reliability of excitation control. Summary of the Invention

[0004] In order to solve the problem that traditional excitation system controllers have deficiencies when facing complex power grid environments and high - performance requirements, the present invention provides an embedded excitation control method, system and storage medium for synchronous generators in a power system.

[0005] The present invention is implemented by the following technical solutions: In the first aspect, the present application proposes an embedded excitation control method for synchronous generators in a power system. The method includes: establishing simplified models of each unit in the synchronous generator excitation control system; the simplified models of each unit include the mathematical model of the power amplification unit, the mathematical model of the voltage measurement unit, the mathematical model of the excitation control unit, and the simulation model of the synchronous machine body of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit;

[0006] Taking the error voltage between the feedback voltage and the given voltage of the synchronous generator as the input of the mathematical model of the excitation control unit respectively, and the output of the mathematical model of the PID control unit is the control voltage;

[0007] Obtaining the actual output voltage of the synchronous machine based on the control voltage, and taking the actual output voltage as the input of the measurement unit to obtain the feedback voltage of the synchronous generator.

[0008] As a further improvement of the above - mentioned solution, the obtaining the actual output voltage of the synchronous generator based on the control voltage includes:

[0009] Inputting the control voltage into the power amplification unit to obtain a first voltage;

[0010] Input the first voltage into the exciter unit to obtain a second voltage;

[0011] Input the second voltage into the synchronous motor to obtain the actual output voltage of the synchronous motor.

[0012] As a further improvement of the above solution, use the improved sand cat swarm algorithm to optimize the parameters of the PID controller.

[0013] As a further improvement of the above solution, the steps of using the improved sand cat swarm algorithm to optimize the parameters of the PID controller include:

[0014] Process the initial solution space of multiple parameters to be optimized based on Logistic Tent chaotic mapping and dynamic reverse learning to obtain the initial population matrix of the improved sand cat swarm algorithm;

[0015] Calculate the initial fitness of the sand cat swarm individuals according to the evaluation function, and update the global optimal position of the sand cat individual with the best fitness to the current optimal position.

[0016] As a further improvement of the above solution, the steps of constructing the simulation model of the synchronous motor body of the synchronous generator include:

[0017] Establish a three-dimensional finite element electromagnetic field simulation model of the synchronous motor, obtain the variation of the main air-gap magnetic flux of the synchronous motor with the excitation current from the static field analysis of the synchronous motor, and obtain the phase electromotive force waveform output by the synchronous motor from the transient field coupling analysis of the synchronous motor;

[0018] Based on the phase electromotive force waveform and the vector diagram of the synchronous motor, obtain the synchronous reactance values of the synchronous motor under different excitations and different load currents;

[0019] Establish the body simulation model of the synchronous motor according to the voltage equation of the synchronous motor.

[0020] In a second aspect, the present application also proposes an embedded excitation control system for a power system synchronous generator, and the system includes:

[0021] A model construction module, which is used to establish simplified models of each unit in the excitation control system of the synchronous generator; the simplified models of each unit include the mathematical model of the power amplification unit, the mathematical model of the voltage measurement unit, the mathematical model of the excitation control unit, and the simulation model of the synchronous motor body of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit;

[0022] A control voltage output module, which is used to use the error voltage between the feedback voltage and the given voltage of the synchronous generator as the input of the mathematical model of the PID controller respectively, and output a control voltage;

[0023] A feedback voltage output module, which is used to obtain the actual output voltage of the synchronous motor based on the control voltage, and use the actual output voltage as the input of the measurement unit to obtain the feedback voltage of the synchronous generator.

[0024] In a third aspect, the present application also proposes a computer terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the power system synchronous generator embedded excitation control method as described above.

[0025] In a fourth aspect, the present application also proposes a computer-readable storage medium. The computer-readable storage medium stores a computer program, and is characterized in that when the computer program is executed by a processor, it implements the power system synchronous generator embedded excitation control method as described above.

[0026] The power system synchronous generator embedded excitation control method of the present invention has the following beneficial effects:

[0027] The server in the present application establishes simplified models of each unit in the synchronous generator excitation control system; the simplified models of each unit include the mathematical model of the power amplification unit, the mathematical model of the voltage measurement unit, the mathematical model of the excitation control unit, and the synchronous motor body simulation model of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit; the error voltage between the feedback voltage and the given voltage of the synchronous generator is respectively used as the input of the mathematical model of the excitation control unit, and the output of the mathematical model of the PID control unit is the control voltage; the actual output voltage of the synchronous motor is obtained based on the control voltage, and the actual output voltage is used as the input of the measurement unit to obtain the feedback voltage of the synchronous generator; the robustness of the system is enhanced by the improved sand cat swarm optimization algorithm, and the exponential reaching law is adopted in the approaching motion section to accelerate the system response speed; iterative learning control is adopted, and the empirical knowledge of the system is obtained through continuous iterative learning processes, so that the voltage deviation and fluctuation are significantly reduced as the number of iterations increases, improving the control accuracy of the system. Description of the Drawings

[0028] Figure 1 It is a schematic flowchart of the power system synchronous generator embedded excitation control according to an embodiment of the present invention.

[0029] Figure 2 It is a structural block diagram of the synchronous generator embedded excitation control system according to an embodiment of the present invention.

[0030] Figure 3 It is a schematic flowchart of the steps for optimizing the parameters of the PID controller by the improved sand cat swarm algorithm according to an embodiment of the present invention. Detailed implementation manners

[0031] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0032] Please refer to Figure 1 , in an embodiment of the present application, an embedded excitation control method for a synchronous generator in a power system is proposed, and the method includes the following steps:

[0033] S1. Establish simplified models of each unit in the excitation control system of the synchronous generator; the simplified models of each unit include a mathematical model of a power amplification unit, a mathematical model of a voltage measurement unit, a mathematical model of an excitation control unit, and a synchronous machine body simulation model of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit.

[0034] Among them, the construction steps of the synchronous machine body simulation model of the synchronous generator include:

[0035] Establish a three-dimensional finite element electromagnetic field simulation model of the synchronous machine. Obtain the variation of the main air-gap magnetic flux of the synchronous machine with the excitation current from the static field analysis of the synchronous machine, and obtain the phase electromotive force waveform output by the synchronous machine from the transient field coupling analysis of the synchronous machine; based on the phase electromotive force waveform and the vector diagram of the synchronous machine, obtain the synchronous reactance values of the synchronous machine under different excitations and different load currents; establish the body simulation model of the synchronous machine according to the voltage equation of the synchronous machine.

[0036] S2. Respectively use the error voltage between the feedback voltage and the given voltage of the synchronous generator as the input of the mathematical model of the excitation control unit, and the output of the mathematical model of the PID control unit is the control voltage.

[0037] S3. Obtain the actual output voltage of the synchronous machine based on the control voltage, and use the actual output voltage as the input of the measurement unit to obtain the feedback voltage of the synchronous generator.

[0038] In the embodiment of the present application, the improved sand cat swarm optimization algorithm is used to enhance the robustness of the system. The exponential reaching law is adopted in the approaching motion section to accelerate the system response speed; iterative learning control is adopted, and the empirical knowledge of the system is obtained through continuous iterative learning processes, so that the voltage deviation and fluctuation are significantly reduced as the number of iterations increases, improving the control accuracy of the excitation control system.

[0039] In an embodiment of the application, as Figure 2As shown, obtaining the actual output voltage of the synchronous generator based on the control voltage includes: inputting the control voltage into the power amplification unit to obtain a first voltage; inputting the first voltage into the exciter unit to obtain a second voltage; and inputting the second voltage into the synchronous motor to obtain the actual output voltage of the synchronous motor.

[0040] In the embodiment of the present application, an exponential reaching law is adopted in the approaching motion segment, enabling the system to quickly reach the switching surface and approaching the sliding mode surface at a relatively small speed, reducing the chattering phenomenon of the system.

[0041] In an embodiment of an application, as Figure 3 shown, the improved sand cat swarm algorithm is used to optimize the parameters of the PID controller. The steps of using the improved sand cat swarm algorithm to optimize the parameters of the PID controller include:

[0042] S301, processing the initial solution space of multiple parameters to be optimized based on Logistic Tent chaotic mapping and dynamic reverse learning to obtain the initial population matrix of the improved sand cat swarm algorithm;

[0043] S302, calculating the initial fitness of the sand cat swarm individuals according to the evaluation function, and updating the global optimal position of the sand cat individual with the best fitness as the current optimal position;

[0044] S303, executing the sand cat swarm algorithm, searching for the parameters to be optimized by simulating the search behavior or attack behavior of sand cats; during the execution of the sand cat swarm algorithm, if it is determined that the algorithm enters the development stagnation state, execute the horizontal crossover strategy and the vertical crossover strategy to make the algorithm get out of the development stagnation state;

[0045] S304, when the set termination condition is satisfied, output the solution corresponding to the current optimal position as the target value of the parameter to be optimized.

[0046] The present invention improves the algorithm by introducing a horizontal and vertical crossover strategy based on the determination of development stagnation in the sand cat swarm optimization algorithm. When the algorithm falls into development stagnation, the global search ability of the algorithm is enhanced by horizontal crossover, and the diversity of the sand cat population is maintained by vertical crossover to prevent the algorithm from falling into local optimum.

[0047] In an embodiment of an application, a synchronous generator embedded excitation control system for a power system is proposed, which is characterized in that the system includes:

[0048] A model construction module, which is used to establish simplified models of each unit in the excitation control system of a synchronous generator; the simplified models of each unit include the mathematical model of the power amplification unit, the mathematical model of the voltage measurement unit, the mathematical model of the excitation control unit, and the simulation model of the synchronous machine body of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit.

[0049] A control voltage output module, which is used to take the error voltage between the feedback voltage and the given voltage of the synchronous generator as the input of the mathematical model of the PID controller respectively, and output a control voltage.

[0050] A feedback voltage output module, which is used to obtain the actual output voltage of the synchronous machine based on the control voltage, and take the actual output voltage as the input of the measurement unit to obtain the feedback voltage of the synchronous generator.

[0051] Compared with the prior art, the advantages of the embedded excitation control system for the synchronous generator of this power system are the same as those of the embedded excitation control method for the synchronous generator of the power system, and will not be elaborated here.

[0052] In an application embodiment, a computer terminal is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it realizes the steps of the method for detecting the atmospheric boundary layer height of the wind speed variance profile shape. When this method is applied, it can be applied in the form of software, such as designed as an independently running program and installed on the computer terminal. The computer terminal can be a computer, a smart phone, a control system, and other Internet of Things devices, etc. This method can also be designed as an embedded running program and installed on the computer terminal, such as installed on a single-chip microcomputer.

[0053] In an application embodiment, this embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by the processor, it realizes the steps of the method for rapid evaluation of facial paralysis based on deep learning. When this method is applied, it can be applied in the form of software, such as designed as an independently running program that the computer-readable storage medium can run. The computer-readable storage medium can be a USB flash drive, designed as a USB key, and designed as a program that triggers the start of the whole method through the USB flash drive.

[0054] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An embedded excitation control method for a synchronous generator in a power system, characterized in that, The method includes: Establishing simplified models of each unit in the excitation control system of a synchronous generator; the simplified models of each unit include the mathematical model of the power amplification unit, the mathematical model of the voltage measurement unit, the mathematical model of the excitation control unit, and the simulation model of the synchronous machine body of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit; Taking the error voltage between the feedback voltage and the given voltage of the synchronous generator as the input of the mathematical model of the excitation control unit respectively, and the output of the mathematical model of the PID control unit is the control voltage; Based on the control voltage, obtaining the actual output voltage of the synchronous machine, and taking the actual output voltage as the input of the measurement unit to obtain the feedback voltage of the synchronous generator.

2. The embedded excitation control method for a synchronous generator in a power system according to claim 1, characterized in that, The obtaining the actual output voltage of the synchronous generator based on the control voltage includes: Inputting the control voltage into the power amplification unit to obtain a first voltage; Inputting the first voltage into the exciter unit to obtain a second voltage; Inputting the second voltage into the synchronous machine to obtain the actual output voltage of the synchronous machine.

3. The embedded excitation control method for a synchronous generator in a power system according to claim 1, characterized in that, Using the improved sand cat swarm algorithm to optimize the parameters of the PID controller.

4. The embedded excitation control method for a synchronous generator in a power system according to claim 2, wherein The step of using the improved sand cat swarm algorithm to optimize the parameters of the PID controller includes: Processing the initial solution space of multiple parameters to be optimized based on Logistic-Tent chaotic mapping and dynamic reverse learning to obtain the initial population matrix of the improved sand cat swarm algorithm; Calculating the initial fitness of the sand cat swarm individuals according to the evaluation function, and updating the global optimal position of the sand cat individual with the best fitness to the current optimal position.

5. The embedded excitation control method for a synchronous generator in a power system according to claim 2, characterized in that, The step of using the improved sand cat swarm algorithm to optimize the parameters of the PID controller further includes: Executing the sand cat swarm algorithm, searching for the parameters to be optimized by simulating the search behavior or attack behavior of sand cats; during the execution of the sand cat swarm algorithm, if it is determined that the algorithm enters the development stagnation state, execute the horizontal crossover strategy and the vertical crossover strategy to make the algorithm get rid of the development stagnation state; When the set termination condition is met, output the solution corresponding to the current optimal position as the target value of the parameters to be optimized.

6. The embedded excitation control method for a synchronous generator in a power system according to claim 1, characterized in that, The construction steps of the simulation model of the synchronous machine body of the synchronous generator include: Establishing a three-dimensional finite element electromagnetic field simulation model of the synchronous machine, obtaining the change of the main air-gap flux of the synchronous machine with the excitation current from the static field analysis of the synchronous machine, and obtaining the phase electromotive force waveform output by the synchronous machine from the transient field coupling analysis of the synchronous machine; Based on the phase electromotive force waveform and the vector diagram of the synchronous machine, obtaining the synchronous reactance values of the synchronous machine under different excitations and different load currents; According to the voltage equation of the synchronous machine, establishing the body simulation model of the synchronous machine.

7. An embedded excitation control system for a synchronous generator in a power system, characterized in that, The system includes: A model construction module, which is used to establish simplified models of each unit in the excitation control system of a synchronous generator; the simplified models of each unit include the mathematical model of the power amplification unit, the mathematical model of the voltage measurement unit, the mathematical model of the excitation control unit, and the simulation model of the synchronous machine body of the synchronous generator; the excitation control unit includes a PID controller and an exciter unit; A control voltage output module, which is used to take the error voltage between the feedback voltage and the given voltage of the synchronous generator as the input of the mathematical model of the PID controller respectively, and output a control voltage; A feedback voltage output module, which is used to obtain the actual output voltage of the synchronous motor based on the control voltage, and take the actual output voltage as the input of the measurement unit to obtain the feedback voltage of the synchronous generator.

8. A computer terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the method described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the method described in any one of claims 1 to 6 is implemented.

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