Meta-heuristic based power quality improvement in UPQC based grid-connected hybrid renewable energy system
Abstract
In recent days, the integration of the grid-connected load system with hybrid renewable energy system (HY-RES) to improve reliability and reduce losses are cheered. In order to satisfy the requirement of the load demand, the HY-RES is incorporated with the grid-connected load which leads to the power quality (PQ) problems in the system. Hence, the UPQC based HPSO-GWO are proposed in this paper. With the utilization of the UPQC device, the PQ issues are minimized by satisfy the load need in the HY-RES system to solve the PQ issues is the major goal of this work. To mitigate the PQ issues, the HPSO-GWO optimization algorithm with an inverter for SAPF and SH-APF is introduced to enhance the UPQC’s performance. HY-RES is originally built in this study with a PV system, WT, and BESS, all of which are connected to the load system. The load is connected to the system to produce PQ difficulties in order to examine the suggested technique's presentation. With the help of the HY-RES system, PQ problems are minimized and load demand is reimbursed. The proposed method has been implemented in the MATLAB/Simulink platform, and its results have been evaluated. In this paper, for validating the performance of the proposed technique, three various cases such as sag, swell, and fluctuation is analyzed. In addition, the THD (Total Harmonic Distortion) is analyzed. Furthermore, the suggested strategy is compared to existing methods such as GWO and PSO algorithms to prove the proposed technique is superior to existing techniques.
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.