Optimal Configuration Planning of Multi-Energy Systems using Optimization-based Deep Learning Technique

Abstract

There has been discovered that the freestanding hybrid renewable resource, which combines energy sources like solar, wind, etc., is an efficient substitute for supplying electricity to isolated places that are not connected to utility grids. The appropriate supply of electricity is subject to several restrictions, including variations in peak load, power outage supply, and other factors like swings. This study suggests an effective strategy for managing and sizing hybrid renewable energy resources to get around the drawbacks. First, the prediction of weather and loading demand is carried out using Bi-Directional Gated Recurrent Unit (Bi-GRU) network, in which past data are utilized to predict the uncertainties in load. This is done to assist the right sizing of resources for that purpose, a Long Short-Term Memory (LSTM) is used. Furthermore, the Search and Rescue Optimization Algorithm (SRO) employed for optimizing the parameter of power management. Utilizing MATLAB R2020a, the proposed model is tested by simulating it and comparing its performance to that of other models using metrics like variation rate, battery energy, Loss of Power Supply Probability (LPSP), forecasting error, net present cost, and cost of energy.

Keywords:

• solar PV systems
• renewable energy systems
• energy management
• and optimum sizing

Additional information

Notes on contributors

U. M. Fernandes Dimlo

U. M. Fernandes Dimlo is working as Professor in the Department of CSE, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana State, India. He graduated in B.E (Computer Science and Engineering) from JCET, Bharathidasan University, Trichy, Tamilnadu. He completed M.E. from HCE, Anna University, Chennai and he received Doctor of Philosophy (PhD) in the area of automata theory from University of Mysore, Mysore, Karnataka, India. He is having 22 years of Teaching Experience in various Engineering Colleges. He has published various research papers in International / National Journals and also presented papers in National / International conferences. His area of interest is automata theory, compiler design, Cloud Computing, Machine learning and Data Science.

R. Umanesan

R. Umanesan, is currently working as an Assistant Professor in Computer Science Department at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamilnadu India. He has 12+ years of experience in the field of academic teaching. He started his career as a Lecturer and worked in various Engineering colleges in India at different levels. He has more than 6 publications in various National/International Conferences, Also, Dr. R. Umanesan published a book “Computer Organization and Architecture”, attended 15 Faculty development program over india and participated 2 international conference, He is a life time member of Computer Society of India (CSI), Indian Society for Technical Education (ISTE) and International Society for Research and Development (ISRD) life time member. His current research interests include Data Mining, Big data analytics, Artificial Intelligence, Data Science.

Jonnadula Narasimharao

Jonnadula Narasimharao is currently working as an Assistant Professor in the Department of Computer Science and Engineering, CMR Technical Campus, Medchal, Hyderabad. He obtained his Bachelor Degree in B.E. – Computer Science and Engineering from DMI College of Engineering, Anna University and Master’s Degree in M.Tech – Computer Science and Engineering from TRR Engineering College, JNTU Hyderabad. He is Pursuing his doctorate in the field of Image Processing at Madhav University, Pindwara, Rajastan. He has more than 15 years of Teaching Experience. He has Published his Research work in reputed international journals with high impact factor in Elsevier, Springer, web of science, Scopus. He has certified in NPTEL, Coursera courses. Added to that He has also presented papers in both international and national conferences. He has an Indian patent in his expertise areas from Computer Science and Engineering field. He is a life member of the professional body - Indian Society for Technical Education (ISTE). His areas of specialization include Image Processing, Deep Learning, Machine Learning, IOT, Data Mining and Networks.

N. Senthamilarasi

N. Senthamilarasi is currently working as Assistant professor in the department of information technology in the Panimalar Engineering College, Chennai. She has completed her M.Tech (CSE) in Vel Tech Dr. RR & Dr. SR Technical University in 2013 and pursuing Ph.D. in Anna University. She is having nine years of experience in teaching engineering students. She has published more than 15 papers in international journal and conference proceedings. She is one of the authors of four engineering books. She has awarded for “Best faculty of the year” under sub category published Research-where papers have been accepted in high ranking/indexed journals of the CSI TechNext India conference 2019-Awards to Academia. Her area of interest is in Internet of things, Networking and image processing.

P. S. Ranjit

P. S. Ranjit, 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 10 years of research experience along with 10 years administrative experience as head - Automotive Design Engineering at University of Petroleum & Energy Studies (UPES), Dehradun. He worked as a Program Director for M/s. Mahindra & Mahindra and M/s. Hero Motocorp plants at Haridwar for 5 years. He executed 8.1 Million Rupees MNRE, Govt. of India, project on Hydrogen engines 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. He is also a visiting faculty of United world Institute of Design, Gandhi Nagar, Gujarat and University of Technology & Management (UTM), Shillong. He established I.C. Engines Research Lab with NFPA Class I Division 2 Group B Standards at UPES. He is a Life member of “The Combustion Institute – Indian Section (CIIS)”, Member of “Society of Automotive Engineers (SAE)”, Fellow of Institution of Engineers (FIE), Life Member of “Indian Society for Technical Education”, Member of International Association of Engineers, and Charted Engineer. 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.

B. Balaji

B. Balaji was born in India. He received the master degree in VLSI Systems from JNTUK, India in 2009 and Ph.D. from OPJS University in 2017. He is currently working as Associate Professor in KL University, Vijayawada, AP, India. He published more than 55 journal papers and 8 conference papers in the field of Nano Scale Devices. His research interests include electric power components and systems.

I. Thamarai

I. Thamarai, is currently working as Associate Professor in the Department of Computer Science and Engineering, Panimalar Engineering College Chennai City Campus, Chennai. She completed her Bachelor of Engineering in Computer Science and Engineering in 1992 from Government College of Technology under Bharathiyar University, Coimbatore, Tamil Nadu, India. She obtained her Master of Engineering in Computer Science and Engineering from Sathyabama University, Chennai, Tamil Nadu, India in 2009. She obtained her Ph.D. from Sathyabama University, Chennai, Tamil Nadu, India in 2018. She has 22 years of experience in teaching and 4 years of experience in industry. Her research interests include Software Engineering, Artificial Intelligence, Computer Networks and Database Management Systems. Her area of interests includes programming languages like Ptython, C, C++ and Java.

Vijay Kumar Dwivedi

Vijay Kumar Dwivedi is presently an Assistant Professor of Mathematics at V.E.C. Ambikapur (C.G.). He is involved in teaching UG, PG classes and in Ph.D. course work for over 23 years. He has many patents; is the author of many national and international research papers. He is author of the books “Engineering Mathematics” and “Graph Theory”. He is editor of E-Book and has contributed in the translation of AICTE question bank of the subjects ‘Mathematics’ and ‘Mental Ability’ for implementation of ASLAP in Hindi language. He is also a life member of IMS. His research interests include electric power components and systems.