A Phased Optimization Control Method for Synchronous Generator Excitation Based on Saturation Parameters and Chaotic Search Algorithm
In order to improve the excitation control effect of synchronous motors,a phased optimization con-trol method for synchronous generator excitation based on saturation parameters and chaotic search algorithm was proposed.Based on the mathematical model of the synchronous generator in a saturated state,a fuzzy PID controller was used to control the excitation of the synchronous generator.The excitation control of the entire synchronous generator unit was divided into a control stage and an optimization stage.In the control stage,the deviation and deviation change rate between the synchronous motor voltage and the target voltage were used as input variables of the PID controller,and the excitation control quantity was output to act on the synchronous generator.The input fuzzy processing of output variables to achieve excitation control of synchro-nous generator units;In the optimization stage,in order to ensure the control effect of the fuzzy PID,the chaos search algorithm was selected to optimize the membership function division of different control parame-ters in the fuzzy PID.By generating multiple sets of chaotic variables in the chaotic space and mapping them to the solution space,the optimal membership division result of the fuzzy PID was searched for to achieve the best excitation control effect of the synchronous generator.Through experiments,it can be seen that this method can efficiently complete the excitation control of synchronous generators.The change in terminal volt-age of synchronous generators from startup to stable operation is small,and after stable operation,the voltage can be guaranteed to be in a relatively stable state for a long time.The speed of adjustment is very fast in the case of non saturation and saturation parameters,and stable operation can be maintained.
Saturation parameterChaotic searchChaos theoryPID controlSynchronous generatorEx-citation control
万方数据
维普
