Machine Learning-Based Optimization of Wind-PV Solution for Grid Demand

Abstract

This research addresses the imperative need for innovative approaches to harness renewable resources while ensuring grid stability amidst global electricity demand. The proposed optimization methodology, centered on machine learning, harmonizes the intermittent output of Wind-PV systems with dynamic grid requirements. Leveraging historical meteorological data, energy trends, and real-time demand, the study employs ensemble learning, specifically the CNN (Convolutional Neural Network) algorithm, for accurate forecasting of PMSG-based (Permanent Magnet Synchronous Generator) Wind-PV system output. The two-tiered optimization approach involves short-term prediction using the CNN model and real-time correction through a genetic algorithm, enhancing the Capacity Utilization factor from 73% to 92% and reducing mean absolute error from 8% to 4.5%. This method not only anticipates energy fluctuations efficiently but also contributes to grid stability and decreased reliance on nonrenewable sources. Comparative analyses demonstrate the superiority of the machine learning-based approach in terms of accuracy and adaptability over traditional control methods.

Keywords:

• ML
• CNN
• GA
• Wind-PV
• PMSG
• power grid
• energy demand
• dynamic response

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Malathi Govindasamy

Malathi Govindasamy received the Bachelor Degree in Electronics and Communication Engineering from Hindustan College of Engineering (Hindustan University), Chennai in 1993. She received the Master Degree in Power Electronics and Drives from Shanmugha College of Engineering (SASTRA), Thanjavur in 1998 and the Doctorate Degree in the Faculty of Electrical Engineering from Anna University, Chennai in 2017.She is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at M.A.M. School of Engineering, Trichy, India. She had 20 years experience in ihe teaching field. Her area of interest are Power Quality, Power System, Electrical Drives , Embedded System and Control Systems. She has published 15 articles in Peer-reviewed inter national journals and presented 25 papers in international conferences. She can be contacted at email [email protected].

A.M.J. Zubair Rahman

A. M. J. Md. Zubair Rahman received the Engineer degree in Computer Science and Engineering from Institute of Road and Transport Technology, Erode in 1989. He received the Master degree in Computer Science and Engineering from Kongu Engineering College, Perundurai, Erode, Tamilnadu, India in 2002. He is currently working as an Professor in the Department of Electronics and Communication Engineering at Al-Ameen Engineering College, Erode, Tamilnadu, India. His area of interests includes Data mining, Networking; Image processing, Sensors and Interfacing networks and Internet of Things. He has published 65 articles in peer reviewed International journals and presented 13 papers in International conferences. ,He can be contacted at email: [email protected].

S.D Vijayakumar

S.D.Vijayakumar is currently working as an Associate Professor in the Department of ECE at Builders Engineering College, Tirupur, Tamilnadu. He received his Bachelor Engineering degree in Electronics and Communication Engineering from Sasurie College of Engineering, Vijayamangalam and Master Engineering degree in Computer and Communication Engineering from Mahendra Engineering College, Tiruchengode. He has over 18 years of teaching experience in the field of Electronics and Communication Engineering. Presently he is pursuing Ph.D. in the area of Information and Communication Engineering at Anna University, Chennai. His area of interests includes Mobile Adhoc Networks, Wireless Sensor Networks, Renewable Energy and Data analytics. He has published 10+ research papers in National and International Journals, presented 20+ papers in National and International Conferences. He can be contacted at email: [email protected].

Karthikeyan Jayabalan

Karthikeyan Jayabalan received the Engineer degree in Electrical and Electronics Engineering from Jayaram College of Engineering in 2011.He received the Master degree in Power Electronics and Drives from Shivani College of Engineering and Technology, Trichy, Tamilnadu, India in 2014.He is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at Kongunadu College of Engineering and Technology, Trichy, India. His area of interests includes Power Electronics, Electrical Machines, Power Systems and Internet of Things. He has published 6 article in peer reviewed International journals and presented 10 papers in International conferences. He can be contacted at email: [email protected].