Integration of RES and AI for Grid Distribution Network Energy Management

Abstract

In an era where sustainability and efficient resource utilization are paramount, optimizing energy management in grid distribution networks is a top priority. This research introduces a cutting-edge approach that harnesses the power of Renewable Energy Sources (RES), Artificial Intelligence (AI), Long Short-Term Memory (LSTM) networks, Quadratic Regression, and Demand Response mechanisms for Grid Distribution Network Energy Management. By fuzing these state-of-the-art technologies, we unlock the potential to revolutionize energy load forecasting with unprecedented precision and foresight. LSTM models, enriched with historical load data, weather conditions, and demand-response patterns, empower us to anticipate grid requirements with exceptional accuracy. Our approach consistently achieves an average Mean Absolute Percentage Error (MAPE) below 5% and a Root Mean Square Error (RMSE) under 2% for load predictions with an overall grid distribution efficiency is 98%, surpassing conventional forecasting methodologies. Furthermore, the integration of demand response strategies results in a remarkable 20% peak shaving ratio, contributing to a 15% reduction in energy demand during high-demand periods. This research not only enhances smart grid technologies but also ushers in a more resilient, adaptive, and eco-friendly energy infrastructure for the future.

Keywords:

• Grid distribution network
• energy management
• renewable energy sources
• artificial intelligence
• long short-term memory
• quadratic regression
• load forecasting
• demand response
• peak saving and sustainability

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Kannan Kaliappan

Kannan Kaliappan is working an Associate Professor in the Department of Electrical and Electronics Engineering, Sreenidhi Institute of Science and Technology, Hyderabad. He achieved a Doctorate Degree in Electrical Engineering from Anna University, Chennai in February 2015, for his research contribution Switched Reluctance Generator for Wind Energy Conversion Systems under the supervision of Prof. Dr. S. SUTHA. He awarded M.Tech, in Power Electronics and Drives from Anna University, Chennai in 2009 and M.E [Power Electronics and Drives] Degree from Anna University, Chennai in 2009. He had 13 years of academic, including 11 years of R &D Experience. He has Published 4 patents in IPR (India), 40 papers in International Journals and 15 Papers in International Conference and especially in 5 paper in IEEE & Springer Conferences. He Guiding as Research Supervisor of Electrical Engineering in Anna University, Chennai (2630002). His interested area of research is Power Electronics, Wind Energy, Solar Energy and Special Machines.

S. Dinakar raj

S. Dinakar raj working as an Assistant Professor in the Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, has about 14 years of teaching experience. He received his B.Tech degree in Electrical and Electronics Engineering in SRM University, M.E. degree in Power Electronic Drives from, Anna University and Ph.D in Controller Design in VIT University, Chennai. Presenting research in international and national conferences, he has 1 SCI and 2 Scopus indexed publications. His interests include E vechiles, Control Engineering, Signal & System Design, and wireless Communications.

R. Bhavani

R. Bhavani graduated in Electrical and Electronics Engineering from Thiagarajar College of Engineering, Madurai, Tamil Nadu, and India in 2000. In 2005, she received Master of Engineering (M.E) degree in Power Systems Engineering in the same college. She received her ph.D in the area of power quality under Anna University, Chennai in 2020. She had 3 years of teaching experience in PSNA College of Engineering and Technology, Dindigul. Now, she is an Associate Professor in the department of Electrical Engineering at Mepco Schlenk Engineering, Sivakasi, Tamil Nadu, and India. She has a teaching experience of more 18 years. Her area of interest is machines, control systems, microprocessor and microcontroller and power systems. Her research activities are focused on measurement and analysis of PQ problems, Applications of Custom Power Devices for PQ Enhancement using Artificial Intelligence Techniques, Lab VIEW software. She got Certified Lab view Associate Developer (CLAD) certification from NI lab view academy, USA. She has published eighteen papers in SCI and Scopus indexed journals. She is a life time member in ISTE and IEI. Email: [email protected].

Nagabhooshanam Nagarajan

Nagabhooshanam Nagarajan received his doctoral degree from Anna University under area interfacial heat transfer in die casting process and further received his Master Degree from Anna University, Chennai also received his Bachelor Degree under Faculty of Mechanical Engineering from Anna University, Chennai. He is currently working has an Associate Professor, Department of Mechanical Engineering, Aditya Engineering College, Aditya Nagar, ABD Road, Surampalem, East Godavari District, Andhra Pradesh, India. And also working as adjunct faculty in Department of Mechanical Engineering, Institute of Engineering and Technology, GLA University Mathura and Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai. He also worked as a Graduate Engineer Trainee in “Dynamatic Technologies Ltd” since June 2011 to June 2013, as an Assistant Professor in S.A. Engineering College Since June 2015 to 2017, Assistant Professor in St. Peter’s College of Engineering and Technology from June 2017 to May 2022, Associate Professor in Aditya Engineering College from July 2022 to Till Date. He is specialized in Mechanical Engineering, Fluid Mechanics and Manufacturing Process & Material Sciences. He has research interest in Heat Transfer Enhancement, Microstructure Study of Al-Mg Based Alloys, Minimization of Casting Defects in Al, Fe Based Materials, Die Improvement, Flow Analysis Techniques and Optimization Techniques. He has published 10+ Books, 19+ Patents, and 27+ Journals. He has presented 4 National/International Conferences. He has attended 5 Workshops and 2 FDPs.

Gaurav Vishnu Londhe

Gaurav Vishnu Londhe had completed the Bachelor of Engineering in Information Technology in 2007 and Master of Engineering in Computer Engineering from University of Mumbai, India in 2013 and Doctorate in 2020, with research domain of Wireless Sensor Networks. Working on Cloud using IoT based devices and analysis of data received through it. Cloud architecture design is the research area for upcoming development. He has around 20 years of technical teaching, administration and industry experience. He has around 10 plus research publications in versatile area of IT and Computer Science and Engineering. Currently associated with Alliance University Bangalore as Associate Professor and MBA DIGITAL TRANSFORMATION Program Director.

P. S. D. Bhima Raju

S. D. Bhima Raju obtained his B.Tech in Electrical and Electronics Engineering from Regency Institute of Technology, Yanam, in the year 2006 and M.Tech in Electrical Drives and Control from Pondicherry engineering college, Puducherry in 2009. He is pursuing his Ph.D. from J.N.T.U.K., Kakinada, India. Currently he is working as an Associate Professor in the Electrical and Electronics Engineering Department, Aditya Engineering College, Surampalem, India. His research interests are Power Quality and Smart Grids.