Frequency Control Method of Microgrid Based on Online Parameter Identification

Abstract

The optimization of frequency controller parameters is the key to improve the frequency performance of microgrids. Due to the complex structure of the microgrid system, the optimization of the controller parameters is difficult. To solve the above problems, this paper first obtains the equivalence model of microgrid system by derivation, then identifies the equivalence parameters in the model by using genetic algorithm, and finally obtains the adaptive law of controller parameters by typical system rectification to realize the dynamic regulation of frequency. The proposed method not only allows real-time identification when the internal parameters of the microgrid are unknown, but also the identification model can be used for the design of the controller parameters, which is beneficial to the recovery of the grid frequency. Finally, the effectiveness of the proposed method is experimentally verified in a microgrid simulation experiment.