A Deep Learning-Based Approach to Optimize Power Systems with Hybrid Renewable Energy Sources

Abstract

This study proposes a deep learning-based approach to optimize power systems with hybrid renewable energy sources (HRES) using particle swarm optimization (PSO). The proposed algorithm is evaluated against the iterative optimization method to evaluate its efficacy. The study focuses on the network layer between the local HRES controllers and the distributed power control hub, where loads and renewable energy sources are aggregated and tested for their ability to interact with a centralized unit. The proposed method utilizes data from a variety of sources, both live and archived, to develop a Grey Wolf Optimization strategy for enhancing mitigation efforts and decreasing power quality disruptions. The system’s efficiency is improved by algorithms, giving designers the flexibility to build a more flexible system while switching between various energy sources to produce electricity. The study also includes a deep learning-based approach to power forecasting and optimum sizing to minimize the system’s cost while keeping its dependability. The proposed approach can help rural areas reduce their reliance on fossil fuels and improve dispatch efficiency, ultimately saving utility money.

Keywords:

• feedback control
• meta heuristic optimization techniques
• hybrid renewable energy systems
• power
• quality monitoring

Acknowledgment

There is no acknowledgment involved in this work.

Authorship Contribution

There is no authorship contribution.

Conflict of Interest

Conflict of Interest is not applicable in this work.

Data Availability Statement

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

Ethics Approval and Consent to Participate

No participation of humans takes place in this implementation process

Funding

No funding is involved in this work.

Human and Animal Rights

No violation of Human and Animal Rights is involved.

Additional information

Notes on contributors

Lakshmi Dhandapani

Lakshmi Dhandapani received B.E (Electrical and Electronics Engineering) from University of Madras in 1999, M.E (Power Systems Engineering) from B.S.A. Crescent Engineering College, Anna University, Chennai in 2006 and the Doctoral degree from Anna University in March 2018. She has 21 years of teaching experience. She has published over 40 national, international journals and nearly 35 National and International Conferences Proceedings. She has received certificate from World book of record (London) for participating in longest 150 hours conference, Senior Educator & Scholar Award in 10th National Teachers' Day Awards 2019 from NFED Association (Coimbatore) and Dr. Radhakrishnan award from ESN Publications on 5th September 2020. Best researcher award from AMET Deemed to be University in 2022. She has guided many UG and PG candidates. At present, 4 research scholars are working under her guidance. She is a life Member in 4 Professional Bodies, and acting as reviewer for reputed journals. She has published 4 books and 9 book chapter (indexed in Scopus). Her areas of interest are load frequency control, deregulated power system, power quality, power system dynamics, renewable energy systems, microgrid.

Sagar Bhilaji Shinde

Sagar Bhilaji Shinde is currently working as a Professor in the department of E & TC Engineering at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune. He had completed his Post doc from Lincoln University College, Malaysia. He is serving as a Reviewer for various IEEE, Springer conferences and Scopus, SCI journals. He has filed and Published 05 patents (currently 04 under examination for grant) and out of which one patent is granted. He is recognized guide for PhD and Post Doc. His research interests include electric power components and systems.

Lalitkumar Wadhwa

Lalitkumar Wadhwa is currently working as a Principal at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune. He had completed his PhD from IIT, Dhanbad. He is having more than 22 years of experience in teaching and published more than 30 research papers in well reputed journals and conferences. He is having 05 books and 08 parents on his credit. His research interests include electric power components and systems.

Perumal Hariramakrishnan

Perumal Hariramakrishnan received his bachelor's degree in Electrical and Electronics engineering under Madras University, Chennai. He received his Master's degree under Anna University and Ph.D. degree under Sathyabama Institute of Science and Technology. At present he is working as Associate Professor in Panimalar Engineering College, Chennai, Tamil Nadu. He has published many articles in international journals. His areas of interests are power quality in power systems, machine learning and deep learning techniques.

Suragani Mohini Padmaja

Suragani Mohini Padmaja currently working as a professor at department of Electrical & Electronics Engineering, Shri Vishnu Engineering College for Women, Bhimavaram. She was awarded Ph.D. degrees in Electrical Engineering from Jawaharlal Nehru Technological University, Hyderabad in 2016. She executed two DST sponsored R&D Projects on the objectives of FPGA based PWM control of multilevel inverters and real time performance analysis of Solar Module at different environmental conditions. Her research interests are power electronic applications to power systems, renewable energy systems, power quality, flexible AC transmission systems, artificial intelligence in electrical engineering.

Meena Devi Gurusamy

Meena Devi Gurusamy is currently an Associate Professor at St. Joseph’s College of Engineering, Chennai, Tamilnadu 600119, an autonomous college in India. She completed her Master’s degree in Mathematics, in 1997 from University of Madras, India. She earned her Masters of philosophy degree in Mathematics, in 1999 from University of Madras, India. In 2015, she obtained her PhD in Statistics (Interdisciplinary In Mathematics) from Bharathiyar University, Coimbatore - India and she is deeply interested in classification techniques like neural networks, CNN and SVM as well as deep learning methodologies.

Malini Kalale Venkatarao

Malini Kalale Venkatarao, M.Tech (PE), PGDEM, MIE, LMISTE, MISRD is as of now related with Sri Sairam College of Building Bangalore and serving as Head of the Division, Electrical and Hardware Building. She has over 23 a long time of cross Polynial involvement in the scholarly community and Businesses. She has distributed 6 licenses and distributed universal and national diaries on Vitality, Control Gadgets and related zones. She is a Counseling Board Part of National Official Admonitory Board, DST, Govt. of India. She has too served as Chief Editor for science diaries, Evaluator for prestigious challenges, coach for extend groups all over India. Stowed Prestigious national Grants from ISTE, Venus establishment, ASDF, ISIE, IEI having been closely related with IIC, MHRD, IEDC, DST, EDII and have been contributing Advancement Envoy within the area of business enterprise Advancement. Encompasses an energy in CSR exercises and related with IEEE Locate Chapter. She has written content books on machines and distributed articles on instruction supportability. Her research interests include electric power components and systems.

Shaik Razia

Shaik Razia, Associate professor received her Ph.D in Computer Science and Engineering from Koneru Lakshmaiah Education Foundation (formerly KL deemed to be University) and M. Tech Computer Science and Engineering, from Acharya Nagarjuna University. She has more than 19 years of experience in that Teaching 15 years in KL University, and 4 Years Industry. Completed 7 Consultancy Funded Projects, Member of various professional bodies like LMISTE, LMISCA, LM369 (SOLETE), SDIWC, CSTA, IEDRC and IAENG. 45 Research papers published in various National and International Journals and Conferences (25-Scopus indexed, 2-SCIE, 2-(ESCI) web of science paper published by Taylor & Francis. 16-Nonscopus papers in various UGC, National and International Journals), Active Editorial Board Member, Committee member, Conference Chair and Reviewer of various National, International Conferences, Workshops and Seminars, having h-index: 10, 234 citations and i10:10. Published one Book Chapter and published 6 no. of patents. She has been awarded with different prestigious awards like Best Academician National Award 2022, Women Researcher National Award 2020 from the IJIEMR – Elsevier SSRN Research Awards, India, Best Senior Faculty Inter National Award 2021 from Novel Research Academy, Puducherry, India. Research Achievement Award 2018 and Best Teacher Award 2013 from KLEF University, Vaddeswaram, India. Served in various capacities as Committee Member PSET2021, Reviewer for ICSCT-2019 (International Conference at Anurag Group of Institutions), IJICSE-2021 (IJICSE, University of Technology and Applied Sciences, Muscat), and Microsoft CMT (International Conference on Emerging Electrical Energy, Electronics and Computing Technologies 2021) and Editor for Immortal Publications (Begonia no:4, Harbour view -2, Mayer Street, Port Louis, Al-Khuwair, Muscat, Sultanate of Oman, Vijayawada) She is a recognized supervisor for Ph.D Programme. Supervising 6 no. of Ph.D. Scholars in that 1 Scholar from Annamalai University and 1 Scholar from Shri Venkateshwara University. Field of research includes machine learning, deep learning, data science, artificial intelligence, data analytics and soft computing.