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Excitation system parameter identification method based on system decoupling and sequence-optimization genetic algorithm

A technology of excitation system and genetic algorithm, applied in general control system, control/regulation system, instrument, etc., can solve difficult problems such as credibility evaluation

Inactive Publication Date: 2010-08-04
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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  • Summary
  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, at present, the excitation parameters are obtained according to various existing methods, and it is difficult to obtain quantitative reliability evaluation

Method used

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  • Excitation system parameter identification method based on system decoupling and sequence-optimization genetic algorithm
  • Excitation system parameter identification method based on system decoupling and sequence-optimization genetic algorithm
  • Excitation system parameter identification method based on system decoupling and sequence-optimization genetic algorithm

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Embodiment

[0094] Figure 5 It is a schematic diagram of the FV model provided by the embodiment of the present invention omitting over-excitation limitation and under-excitation limitation. This figure takes the excitation system of a self-shunt generator in a power plant as an example. where input V ERR is the difference between the generator terminal voltage and the reference voltage, output E FD is the generator excitation voltage, K V Select factor for proportional or pure integral, I FD is the excitation current of the generator. For the FV model, the parameter T 1 , T 2 , T 3 , T 4 、K A , T A 、K F , T F is the parameter to be identified. That is, α=[T 1 ,T 2 ,T 3 ,T 4 , K a ,T a ] T . For the above model, under decoupling, the measured quantities are the extreme three-phase voltage and current of the generator, as well as the excitation voltage and excitation current of the generator.

[0095] Figure 6 It is a schematic diagram of the machine terminal volta...

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Abstract

The invention discloses an excitation system parameter identification method based on system decoupling and a sequence-optimization genetic algorithm, relating to the technical field of excitation system parameter identification in electric power systems and comprising the following steps of: decoupling an excitation system and a generator by utilizing a PMU (Phasor Measuring Unit); determining an excitation system model based on decoupling; and identifying parameters in the excitation system model based on the decoupling by utilizing the sequence-optimization genetic algorithm. The invention decreases the complicated degree of the excitation system parameter identification and reduces errors caused by the accurate model and parameters of the generator, and the identified excitation system parameters are accurate and have a certain confidence.

Description

technical field [0001] The invention belongs to the technical field of excitation system parameter identification in electric power systems, and in particular relates to an excitation system parameter identification method based on system decoupling and sequence optimization genetic algorithm. Background technique [0002] The power system has entered the era of large power grids, high voltage and large units, so higher requirements are placed on system stability. In the analysis and control of power system operation, the generator excitation model is an important part of the electromechanical transient mathematical model of the power system. Whether the model parameters are set correctly or not directly determines the correctness and reliability of the power system stability calculation, and then affects the system. Development and implementation of operational control measures. For this reason, the State Grid Corporation of China's science and technology development plan ...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 薛安成陈实王正风毕天姝
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)