Research on UPQC harmonic control strategy based on optimized QPIR controller of beetle antennae search algorithm in microgrid

Abstract

It is di cult to achieve low-order harmonic tracking control without static difference when PI control is used in uni ed p-ower quality conditioner (UPQC). What's more, the traditional PI parameter trial method has the problems such as low accuracy and anti-interference to meet the needs of real time control.Aiming at this issue, this paper proposes a UPQC harmonic control method based on the beetle antennae search (BAS) algorithm to optimize the parameters of quasi-proportional integral resonance (QPIR) controller. The harmonic current is detected by the i p -i q method based on the instantaneous power theory, and the detected signal is input to the QPIR controller. The controller parameters are optimized by the BAS algorithm to improve the dynamic response performance and control accuracy of the UPQC. Then use the MATLAB/Simulink software platform to build UPQC simulation models for PV and wind microgrids.Finally, the simulation comparison is veri ed between the optimized QPIR controller strategy based on by BAS method and PI control strategy based on neural network algorithm (NNA)respectively. The results show that use QPIR controller optimized through the beetle antennae search (BAS) method is more accurate and resistant to interference. So, the proposed UPQC control strategy has innovation and feasibility, and it can be applied in the practical engineering.