Optimal design of solar/wind/battery and EV fed UPQC for power quality and power flow management using enhanced most valuable player algorithm

Koganti Srilakshmi; Sravanthy Gaddameedhi; Subba Reddy Borra; Praveen Kumar Balachandran; Ganesh Prasad Reddy; Aravindhababu Palanivelu; Shitharth Selvarajan

doi:10.3389/fenrg.2023.1342085

Frontiers in Energy Research (Jan 2024)

Optimal design of solar/wind/battery and EV fed UPQC for power quality and power flow management using enhanced most valuable player algorithm

Koganti Srilakshmi,
Sravanthy Gaddameedhi,
Subba Reddy Borra,
Praveen Kumar Balachandran,
Ganesh Prasad Reddy,
Aravindhababu Palanivelu,
Shitharth Selvarajan

Affiliations

Koganti Srilakshmi: Department of Electrical and Electronics Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India
Sravanthy Gaddameedhi: Department of Electrical and Electronics Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India
Subba Reddy Borra: Department of Information Technology, Malla Reddy Engineering College for Women, Hyderabad, India
Praveen Kumar Balachandran: Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad, India
Ganesh Prasad Reddy: Department of Electrical and Electronics Engineering, A.M Reddy Memeorial College of Engineering, Guntur, AP, India
Aravindhababu Palanivelu: Department of Electrical Engineering, Annamalai University, Chidambaram, TN, India
Shitharth Selvarajan: Cyber Security and Digital Forensics, School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, United Kingdom

DOI: https://doi.org/10.3389/fenrg.2023.1342085
Journal volume & issue: Vol. 11

Abstract

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The behavior and performance of distribution systems have been significantly impacted by the presence of solar and wind based renewable energy sources (RES) and battery energy storage systems (BESS) based electric vehicle (EV) charging stations. This work designs the Unified Power Quality Conditioner (UPQC) through optimal selection of the active filter and PID Controller (PIDC) parameters using the enhanced most valuable player algorithm (EMVPA). The prime objective is to effectively address the power quality (PQ) challenges such as voltage distortions and total harmonic distortions (THD) of a distribution system integrated with UPQC, solar, wind, BESS and EV (U-SWBEV). The study also aims to manage the power flow between the RES, grid, EV, BESS, and consumer loads by artificial neuro-fuzzy interface system (ANFIS). Besides, this integration helps to have a reliable supply of electricity, efficient utilization of generated power, and effective fulfillment of the demand. The proposed scheme results in a THD of 4.5%, 2.26%, 4.09% and 3.98% for selected four distinct case studies with power factor to almost unity with an appropriate power sharing. Therefore, the study and results indicate that the ANFIS based power flow management with optimal design of UPQC addresses the PQ challenges and achieves the appropriate and effective sharing of power.

Published in Frontiers in Energy Research

ISSN: 2296-598X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: General Works
Website: https://www.frontiersin.org/journals/energy-research

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