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Research Articles

Battery-Based Energy Storage and Solar Technologies Integrated for Power Matching and Quality Improvement Using Artificial Intelligence

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Pages 322-336 | Received 07 Mar 2023, Accepted 25 May 2023, Published online: 29 Jun 2023
 

Abstract

Power quality issues, such as abnormal voltage, current, or frequency, can cause equipment malfunctions and failures, resulting in financial losses. With the developing integration of RES into distribution networks through custom power devices like electronic power cassette adapters, there is a need to address the challenge of integrating the variable output of RES into traditional grids. Energy storage systems are a potential solution, but they are costly for RES applications. This study proposes a hybrid solar structure combined with battery energy storage systems (BESS) to optimize power consumption and improve power quality using a meta-heuristic approach. The research methodology involves simulation using real solar PV data. The significance of the proposed approach lies in its potential to enhance power quality while utilizing the maximum capacity of BESS, thereby improving the integration of RES into distribution networks and mitigating financial losses caused by power quality issues.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

No participation of humans takes place in this implementation process.

HUMAN AND ANIMAL RIGHTS

No violation of Human and Animal Rights is involved.

ACKNOWLEDGMENT

There is no acknowledgment involved in this work.

CONFLICT OF INTEREST

Conflict of Interest is not applicable in this work.

AUTHORS’ CONTRIBUTIONS

There is no authorship contribution.

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

No funding is involved in this work.

Notes on contributors

Ashit Kumar Dutta

Ashit Kumar Dutta is working as a Full time Professor in the Department of Computer Science and Information Systems at Allmaarefa University Saudi Araba. His specialization is in the fields of artificial intelligence and cyber security and IOT. According to the Stanford Ranking, he is among the top 2% of scientists in the world. He has experience of 21 years in both national and international levels of education. He has published more than 110 papers in ISI-SCI (Q1 or Q2) journals. He got various meritorious awards at both national and international levels. He has completed eight research projects at the local and international levels. He received best researcher award by the Nature Science Foundation in 2022. He is one of the editorial board members of several international journals. He is one of the committee members for scientific research, curriculum development, and quality management of educational institutions. He is a certified ethical hacker by the EC Council, U.S.A.

L. Bharathi Krishna

L. Bharathi Krishna is working as Assistant Professor in Department of Computer Science and Engineering at SRM Valliammai Engineering College, Tamil Nadu, India. He has completed his graduate degree (B. E.) from Bhajarang Engineering College, post graduate degree (M. E.) from Jerusalem engineering college. She has 18 years of teaching experience. Area of research includes Computer Science Information Systems.

Katuri Rayudu

Katuri Rayudu was born in East Godavari District, Andhra Pradesh, on 10-11-1975. He completed his B.Tech. in Electrical and Electronics Engineering (EEE) from Jawaharlal Nehru Technological University (JNTU) College of Engineering, Kakinada, Andhra Pradesh in 1999, M.Tech, (Information Technology in Power Engineering) from Jawaharlal Nehru Technological University (JNTU) College of Engineering, Hyderabad, Andhra Pradesh in 2004 and completed Ph.D. in Optimal Reactive power Dispatch using GA, ACO, ABC and BAT Algorithms- under Power Systems area of specialization) from Jawaharlal Nehru Technological University Hyderabad (JNTUH) College of Engineering, Hyderabad in 2018. He has 20 years of teaching experience. He has worked as faculty (Teaching Assistant) at JNTU College of Engineering, Hyderabad and is presently working as Professor & Head, B V Raju Institute of Technology (BVRIT), Narsapur, Medak District. He has 9 International and National Journals to his credit. He has 21 International and National papers published in various conferences held in India. He is a Life Member of ISTE, FIE, SESI and IEEE. His research interests are Artificial Intelligence applications to Power Systems, Reactive Power Dispatch, Voltage Stability, Computer Applications to Power Systems, Smart Grids & Microgrids and Distributed Generation.

Devaraj Vedhagiri

Devaraj Vedhagiri completed his undergraduate degree in Electrical and Electronics Engineering from PSG College of Technology, Coimbatore, Post graduate degree in Power System Engineering from Anna University Chennai and doing Ph.D from Dr. M.G.R Educational and Research Institute, Chennai. Currently serving as Associate Professor in the Department of Electrical and Electronics Engineering in Panimalar Engineering College Chennai. He is a Life Member of ISTE and IEEE. His research areas are Load frequency Control in Renewable Power Systems, Smart Grids & Microgrids.

Nageswara Rao Medikondu

Nageswara Rao Medikondu is an Associate Professor in, K L E F University, Guntur AP -522302, India. He did his bachelor’s from Andhra University, master’s from Andhra University, and Ph.D. in Artificial Intelligence based task scheduling from the Jawaharlal Nehru Technological University, Kakinada. He has 13 years of experience in TEACHING in subjects like Artificial Intelligence, Industrial Engineering Techniques, Operations Research, Total Quality Management, Work-study, and Ergonomics, and 3 years of INDUSTRY experience. He has published 62 research papers in National and International Journals in the area of Artificial Intelligence He has Published 14 Design patents and 3 utility patents. He has presented 10 research papers at International Conferences He is handling one DST-SERB project worth 30 Lakhs in the Area of Artificial intelligence based. Eight Scholars were Pursuing Ph.D. under his supervision in the areas of Optimization through AI.

Suji Prasad SudarsananNair JalajaKumari

Suji Prasad SudarsananNair JalajaKumari, is Associate Professor in the Department of Electronics and Instrumentation Engineering of Kongu Engineering College, Perundurai Erode - 638060, TamilNadu State, India, affiliated to Anna University, Chennai. He received his Bachelor’s degree in Electrical and Electronics Engineering in 2002 from Manonmaniam University, Master’s degree in Process Control and Instrumentation Engineering from Annamalai University in 2003 and Ph.D in the area of Process Control and Instrumentation Engineering from Anna University, Chennai in 2015. He was the Principal Investigator for one R&D project sponsored by UGC, worth of Rs. 4 Lakh and co-ordinator for one AICTE-MODROBS project sponsored by AICTE, worth of Rs. 12 Lakh. He has published 40 papers in SCI, Scopus and Wos indexed International Journals, National and International Conferences and reviewer for seven International journals. He received the Best Faculty Award from Kongu Engineering College, ASDF Best Researcher Award 2017-18, Best Researcher Award 2016-17 from Indian Academic Researchers Association and Best Engineer Award-2019 from Institution of Engineers (India)-Erode. He has put in fifteen years of experience in teaching and research. His areas of academic interest include Process Control, Soft Computing, Optimization, PLC and DCS.

Gopinathan Raghunathan

Gopinathan Raghunathan completed my undergraduate degree in Mechatronics Engineering and Post graduate degree in Manufacturing Engineering. I did my Ph.D. in Mechanical Engineering from PSG college of Technology (Anna University Chennai). Currently serving as Associate Professor in the Department of Mechatronics Engineering at Sri Krishna College of Engineering and Technology, Coimbatore. Earlier I was an Assistant Professor in the Department Automobile Engineering at Karpagam Academy of Higher Education, from June 2016 to March 2020. Prior to that, I served as an Assistant Professor in the Department Mechatronics Engineering at Akshaya college of engineering and Technology, from June 2015 to March 2016. I pitched my career mode as an Assistant Professor in the Department Mechatronics Engineering at SNS college of Technology, from June 2012 to May 2015. Areas of interest: Mechatronics, Robotics, Machine learning.

Nutan Saha

Nutan Saha is working as Assistant Professor in the department of Electrical Engineering in Veer Surendra Sai University of Technology. She has 15 years of teaching experience and more than 3 years of research experience. She has completed her Ph.D from Veer Surendra Sai University of Technology.

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