A Novel Hybrid Optimization Controlled DSTATCOM Model for Power Quality Enhancement

Abstract

Power quality issues, high voltage drop, and power loss possess a greater impact on the efficiency of electrical systems. Incorporating compensators within the distribution network can significantly reduce these problems. The proposed technique involves installing a Distribution Static Synchronous Compensator (DSTATCOM) in the distribution system, which can compensate for reactive power and eliminates harmonics. Moreover, the paper suggests a technique for obtaining an optimal dc-link voltage depending upon the grid’s need for load compensation under balanced and unbalanced loads. An innovative Squirrel Sooty Tern Optimization Algorithm (SqSTOA) is used to regulate the switching signals of the voltage source converter, which improves the power quality. Using Matlab/Simulink, the suggested system’s performance is examined, and the findings demonstrate SqSTOA's proficiency in enhancing power quality. Additionally, it delivers high dc-link output, reduced settling time, and enhances the steady-state response. By contrasting the optimized DSTATCOM controller with standard optimization techniques like WdCH, FFA, SSA, and STOA as well as without optimization, its applicability is determined.The suggested system’s outputs with the proposed algorithm have higher levels of accuracy when compared to those of traditional algorithms, like FFA, SSA, and STOA.