A Comparative Analysis of Optimization Techniques for DSTATCOM in a 33 kV Radial Distribution System

Abstract

Utilization of Distribution Static Compensator (DSTATCOM) has proven to be instrumental in essential strategies aimed at mitigating power losses within electrical network systems. The growing demand for electricity and high maintenance costs have propelled DSTATCOM into a prominent position for discussion and consideration. This paper conducted a comprehensive comparative study employing optimization methods such as Differential Evolution (DE), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC). The objectives of this study are to compare the performance in terms of Voltage Profile Improvement (VPI), Power Loss Reduction (PLR), and System Cost (SC) while selecting the best method as a suggestion for future research. The techniques were simulated in a MATLAB environment and a 50-bus system was used for real testing. The DE method emerged as the most effective technique in the analysis of the three objective functions. This outcome suggests that DE holds significant promise as a viable and efficient method for enhancing the performance of DSTATCOM in terms of VPI, PLR, and SC. These findings offer valuable guidance for future research endeavors in the realm of electrical network system optimization.