Power Quality Enhancement in Grid-Connected Energy System with UPQC Using Hybrid PSO-GWO Optimization Technique

Reducing energy losses and meeting energy demands with dependability are achieved by combining multiple renewable energy sources with grid-connected load systems. Though these altered designs result in power quality (PQ) issues in the power system, renewable energy systems are still connected to the grid. This paper recommends a hybrid of particle swarm optimization with gray wolf optimization (PSO-GWO) with a unified power quality conditioner (UPQC) to solve the PQ issues in the power system with HRES. To reduce PQ problems and balance load demand in the HRES is the main objective of this work. The hybrid PSO-GWO algorithm with an inverter for shunt and series active power filter is introduced to improve the performance of UPQC in order to mitigate the PQ issues. The wind energy turbine (WT), solar photovoltaic (PV), and battery energy storage system (BESS) are the first three components of the HRES developed in this paper, which are connected to the conventional grid. The HRES helps to meet the growing demand for power while mitigating PQ issues. The MATLAB/Simulink platform has been utilized to implement the suggested method, and the outcomes have been assessed. This paper analyzes three different cases, including sag, swell, and fluctuation and calculates total harmonic distortion (THD) to justify the capability of the proposed technique. To further support the claim that the suggested technique is better than currently available techniques, it is contrasted with standalone approaches like the particle swarm optimization (PSO) and gray wolf optimization (GWO) algorithms.