Hybrid Deep Learning-Based Grid-Supportive Renewable Energy Systems for Maximizing Power Generation Using Optimum Sizing

Abstract

The hybrid electricity production idea is a technology designed to produce and use electrical energy from many sources as part of an integrated setup. The combined size and power maximization technique for grid-connected renewable energy systems is presented in this research. This study optimizes three distinct geographic locations with various wind and sun renewable energy input potentials. Convolutional neural networks with long short-term memory are designed to maximize electricity production while taking consumer load, demand, and weather conditions into account. The established technique emphasizes the significance of taking into account the concurrent optimization of sizing and power management. To find the hybrid power system building option with the optimum cost–benefit ratio, the Shuffled Shepherd Optimization Technique is used. The optimization analysis uses annual demand data, solar irradiation, and wind turbine power output with a 10-min precision. Investigations have been done into how the system’s various parts behave. The amount of PV panels, wind turbines, battery banks, and the capacity of the diesel generator, together with the error rate, are the best choice factors shown by simulation results for sizing and producing the electricity for hybrid energy system. The results support the proposed strategy’s potential for producing hybrid renewable power.

Keywords:

• renewable energy systems
• power generation maximization
• optimum sizing
• hybrid deep learning
• CNN-LSTM models

Acknowledgment

There is no acknowledgment involved in this work.

Author Contributions

There is no authorship contribution.

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.

Funding

No funding is involved in this work.

Additional information

Notes on contributors

Sakthivel Kirubakaran

Sakthivel Kirubakaran is currently working as an Associate Professor in the Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad, Telangana, India. He completed his B.E. in Periyar University, Salem, M.E. in Anna University, Chennai and PhD in Anna University, Chennai. He has published 28 journal papers and 4 patents. His research interest includes Networking, Machine Learning, Big data and Healthcare.

Vijayasharathi Nagarajan

Vijayasharathi Nagarajan, Assistant Professor, Department of Humanities and Sciences have completed M.E. Energy Engineering in CEG Campus Anna University and B.E. Mechanical Engineering in Anna University. Have published various patterns, journals and currently working in Panimalar Engineering College Chennai City Campus. Have academic experience for more than 10 years. Have published books on various topics in Mechanical Engineering. Research interests include electric power components and systems.

Sai Chaitanya Kishore Dhayapulley

Sai Chaitanya Kishore Dhayapulley has about 15 years of teaching and research experience. Presently he is Professor at Srinivasa Ramanujan Institute of Technology, Rotarypuram, Anantapur District, A.P. He has filed 4 patents and has published several research papers in reputed Journals indexed by Scopus, Science Citation Index Expanded and Materials Science Citation Index. He is a member of professional bodies like IE, ISTE, SAE and IAENG. His areas of interest include advanced machining processes, additive manufacturing, optimization of machining processes, ANN and composite materials.

Irissappsne Dhanusu Soubache

Irissappsne Dhanusu Soubache completed his UG in the year 2004, PG in the year 2006, Ph.D. in the year 2016. He published 35+ International Journals including Springer, Elsevier, IEEE and Scopus. He filed 14 Patterns and he is having 3 International patterns granted. He is the approved guide for SRK University, Bhopal and Co-Guide for Annamalai University. Under his guidance 2 students completed Ph.D. 6 Students pursuing. He published book chapter in Wiley Publication and he acted paper evaluator and question paper setter for various Universities. He is NBA and Internal Auditor. He has overall Teaching Experience of 17 Years. He worked as Professor in different Engineering Colleges around Puducherry and 4 Years Industrial Experience. His research area of interest is Electrical Engineering (Power System).

Subrahmanya Ranjit Pasupuleti

Subrahmanya Ranjit Pasupuleti, Board of Studies Member of Jawaharlal Nehru Technological University, Kakinada (JNTUK). SAEINDIA Faculty Development Core Committee Member, SAEINDIA Amaravathi Division MC Member, and had more than 21 years of teaching experience in both U.G. and P.G. programmes and had more than 80 Research Papers including SCI, Scopus, Journals along with International and National Conferences in addition to 56 Patents, 14 Industrial Designs, 16 Copy Rights, 18 Book Chapters and six International Textbooks into his credit. Mentored various International and National level competitions like Formula 1 London, BAJA, Supra, Effi-Cycle, Go-kart, National Kart etc… And also part-time Faculty with New School of Architecture + Design, San Diago, USA. Come to his Education, Ph.D in I.C. Engines, M.E. in Mechanical Engineering, B.E. in Automobile Engineering with University 2nd Rank and Diploma in Automobile Engineering with State Rank. Presently associated with Aditya Engineering College as a Professor in Department of Mechanical Engineering since 2018. His research interests include electric power components and systems.

Avinash Kumar

Avinash Kumar working as an Associate Professor in RTC Institute of Technology, Ormanjhi Ranchi. His education includes a Ph.D. in Electrical Engineering from B.R.A. University in Bihar in 2015, a Master in Technology in Power Systems from NIT in Patna in 2010, and a B.Sc. in Electrical Engineering from BIT Sindri in 2005. He has more than 15 years of experience in academic, administrative, and research fields. He is a lifetime member of the International Association of Engineers (IAENG) and the Institution of Engineers (IEI), Ranchi Chapter. He belongs to various technical societies and serves as a member, reviewer, and editor. Numerous SCI, national, and worldwide papers and articles have been published by him. In several engineering institutes, he has organised and participated in a variety of workshops, seminars, and conferences. His research interests include electric power components and systems.

Ravi Rastogi

Ravi Rastogi received his M.Tech. Degree in Electronics Engineering from MNNIT Allahabad, UP in 2013. He is currently pursuing Ph.D. course in Electronics Engineering from AKTU Lucknow, UP. His research interests include electronic devices and circuits, signal and image and processing.

Saravanan Vasudevan

Saravanan Vasudevan is an Associate Professor and the Head of the Aeronautical Department Nehru Institute of Technology, affiliated to Anna University located at Kaliyaburam Campus in Coimbatore District, Thirumalayampalayam 641105. He has been a teacher for more than 12 years, both in UG and PG courses. He has delivered a number of papers at national and international conferences in India and published more than 10 papers in well-known journals both at home and abroad. In numerous Tamilnadu institutions, he has delivered intellectual lectures. His research interests include electric power components and systems.