Power Quality Management Using Heuristic Algorithms for Non-Linear Loads in Hybrid Power Systems

Abstract

Optimal power flow (OPF) analyses with many competing objectives are becoming more difficult as power networks integrate renewable energy sources and devices for storage. In a remarkably short amount of time, this study proposes optimising the use of various power system entities through the use of heuristic algorithms when combined with power quality correction. When a power quality problem develops in the grid, new algorithms are suggested because of how fast they respond. In order to get the most out of the system, the MPPT method has been proposed. Furthermore, the stability of the hybrid system was improved in this study.Our current work includes the addition of a fact device referred to as DSTATCOM, which is optimized with the grass hopper algorithm (GOA). MC-UPQC is a new power quality conditioning system for multibus/multifeeder systems capable of simultaneous voltage and current compensation. Several series voltage source converters are used in this configuration, as well as one shunt voltage source converter (shunt VSC). DC-link capacitors are shared among all converters in the proposed configuration. In this way, sag/swell and interruptions can be compensated by transferring power between feeders. Simulations are used to illustrate the performance of the MC-UPQC and the control algorithm named advanced wolf pack algorithm (AWPA). With multiple optimal techniques and fact devices a comparison made for the enhancement of power quality management without disturbance in hybrid Power systems.