Power Quality Improvement of Hybrid Distributed System Using MGWO Technique-Based DVR and DSTATCOM

Abstract

This study proposes a methodology for enhancing the control of power in renewable energy with microgrids using an efficient optimization strategy. The methodology involves the use of MGWO for maximum electricity factor tracking tuning and input parameter PV optimization. A two-level PWM generator block is used to generate PWM pulse converters. The Enhanced Whale Optimization (EWO) approach is implemented to adjust the PID controller parameters, and pulse is fed to the DC to AC inverter. To address electricity problems together with harmonic distortion, voltage sag and swell, and fluctuation, FACT devices (DSTATCOM and DVR) are employed. The performance estimation of DSTATCOM & DVR devices is evaluated in terms of voltage grid, current grid, current load, voltage shunt, voltage swell/sag, THD, and ITAE. The results show the implementation of the suggested FACT device effectively eliminates power quality issues. A comparative analysis between DSTATCOM & DVR shows that DSTATCOM offers a lower distortion rate for grid transmission compared to DVR.

Keywords:

• power quality
• PV
• wind
• DSTATCOM & DVR
• THD
• EWO based PID controller
• MGWO
• pulse width modulation

DATA AVAILABILITY STATEMENT

Data sharing does not apply to this article as no datasets were generated or analyzed during the current study.

Additional information

Notes on contributors

Saradha Devi A

Saradha Devi A, received the B.E. degree in Electrical and Electronics Engineering in 2008, from National Engineering College, Kovilpatti, Tamil Nadu, India and M.E. degree in Applied Electronics from Anna University, Tirunelveli, Tamil Nadu, India in 2010. She worked as an Assistant Professor in the Department of Electrical and Electronics Engineering at Kalasalingam Institute of Technology, Srivilliputtur, Tamil Nadu, India from 2010 to 2022. Currently she is working as an Assistant Professor in the Department of Electronics and Communication Engineering at P.S.R.R. College of Engineering, Sivakasi, Tamil Nadu, India since 2022. She is pursuing her Ph.D. degree in Information and Communication Engineering under Anna University, Chennai. Her research area includes power system, renewable energy sources, FACTS devices, fuzzy logic & optimizing algorithms.

Karpagam N

Karpagam N, received the B.E. degree in Electrical and Electronics Engineering and M.E. Power System Engineering from Thiagarajar College of Engineering, Madurai Kamaraj University in 1994 and 2000 respectively. She received the Ph.D. degree in Electrical Engineering from Anna University, Chennai, Tamilnadu, India in 2010. She worked as a Teaching Faculty at Kalasalingam University, Tamilnadu from 1997 to 2012. At present, she is a professor in the Department of Electrical and Electronics Engineering at Velammal College of Engineering & Technology, Madurai, Tamilnadu with 25 years of teaching and research experience. She completed two funded projects from DST and AICTE. She published two design patents. Her area of specialization are power system, renewable energy sources, FACTS devices, fuzzy logic and genetic algorithm applications to engineering problems.