Fault Prediction and Awareness for Power Distribution in Grid Connected RES Using Hybrid Machine Learning

Abstract

This study addresses defects in electrical power systems, focusing on short circuits that can disrupt normal operation. The method emphasis is on hybrid microgrid systems connected to the grid, crucial for efficient power management. The novel method proposes an adaptive electricity management technique for fault scenarios in grid-tied conversions, minimizing sensor requirements. Power flow involves the hybrid energy storage system (HESS), renewable energy sources (RES), the electrical grid, and loads through a parallel hybrid RES arrangement. Semiconductor switch failures are common vulnerabilities, impacting grid functionality. The novel electricity management technique considers converter failures, renewable energy availability, and HESS state of charge restrictions. Power quality goals such as harmonic reduction, reactive power support, and a power factor of one are addressed. The proposed method was evaluated using MATLAB–based Simulink, showcasing its performance. The approach employs an Adaptive Power Management Strategy (APMS) in a hybrid renewable energy system, integrating wind and solar sources with battery and supercapacitor storage. A Hybrid Machine Learning-based Active Power Management System (HML-APMS) optimizes energy production, storage, and distribution for stability, reliability, and efficiency in the power utility system. The study underscores the significance of technology integration in achieving sustainable, reliable, and cost-effective power solutions.

Keywords:

• grid connected RES
• HESS
• hybrid machine learning
• fault prediction and adaptive power management

Acknowledgement

There is no acknowledgement involved in this work.

Conflict of Interest

Conflict of interest is not applicable in this work.

Authorship Contributions

All authors are contributed equally to this work.

Disclosure Statement

No potential conflict of interest was reported by the authors.

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.

Data Availability Statement

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

Additional information

Notes on contributors

Rajanish Kumar Kaushal

Rajanish Kumar Kaushal was born in 1986. He received the B.Tech degree in Electrical Engineering from Madan Mohan Malviya Engineering College Gorakhpur, in 2009, M.Tech degree in Power System from the National Institute of Technology Hamirpur, Himachal Pradesh in 2011 and Ph.D. degree in Electrical Engineering from Punjab Engineering College (Deemed to be University), Chandigarh. He is currently an Assistant Professor in the Department of Electrical Engineering at Chandigarh University, Mohali, Punjab, and has about 11 years of total experience. He has published many research papers in referred International journals and proceedings of various National and International conferences. His research interests include Power System, Electrical Machines, Internet of Things (IoT) and Renewable Energy. He is an active member of IFERP and ISTE.

K. Raveendra

K. Raveendra was born in SPSR Nellore, Andhra Pradesh, India on 15th July 1978. Completed his Bachelors degree at Sri Rama Krishnam Raju (SRKR) Engineering college, Bhimavaram, West Godavari District, Andhra Pradesh, India in 2001. Completed Masters at Jawaharlal Nehru Technological University College of Engineering, Kakinada, Andhra Pradesh, India in 2010. Done his Doctoral degree at Koneru Lakshmaiah (KL) University, Vijayawada, Andhra Pradesh, India in 2022. Presently working as Professor in ECE at Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India. He has 22 Years of teaching experience and his research areas are Digital Image Processing, Machine Learning, Artificial Intelligence and Wireless Communications. He has published 15 articles in reputed International and National Journals. He received two Australian Patents Granted and One Indian Patent Published and Received 5 Awards in Teaching and Research fields from Reputed Organizations.

N. Nagabhooshanam

N. Nagabhooshanam 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.

Mohammed Azam

Mohammed Azam is a distinguished electronics and communication engineer and alumni of SHRI JJT (shri Jagdish Prasad Jhabarmal Tibrewala university), Rajasthan university. He is a spirited and passionate philosopher, engineer and author and is considered as an asset to the electronics and communication industry for his invaluable contribution and visionary leadership. There have been many golden landmarks in his career marked with successful ventures. He has more than 20 International and national published research articles and contributed his knowledge in various international Patents. He pioneered in establishing a research based project and took the initiative of sharing his precious knowledge by authoring his book and His love for sci-fci and automotive fiction sparked his overactive imagination and fueled a growing ambition to bring his vision of the future to readers. Decades, after his inception of his ideas, he released his first book “AUTOMOTIVE ELECTRONICS: UNRAVELLING THE FUTURE “ in year 2022. Dr. Azam has taken a lead in upgrading the process of education in electronics and communication engineering.

G. Brindha

G. Brindha received the B.E. degree in Electronics and Instrumentation Engineering from Anna University of Institution St. Joseph’s College of Engineering, Chennai, Tamil Nadu in the year 2005 and M.E. degree in Electronics and control engineering from Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu in the year 2011. Received Ph.D. degree in Electronics Engineering at Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu in the year 2020. She is interested in research on bioMEMS, biological techniques, integrated circuit layout, lab-on-a-chip, microfluidics biochips.

D. Anand

D. Anand is currently an Assistant Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He is having 12+ years of academic experience. He currently doing PhD degree in computer science and engineering from Annamalai University, India, and M.Tech degree in computer science and engineering from Acharya Nagarjuna University, India, in 2012, a B.Tech degree in information technology from Jawaharlal Nehru Technological University kakinada, India, in 2004. He has published various papers in reputed journals SCI; Scopus-indexed journals, UGC journals, conferences, books, book chapters, and national and international patents. He is also the editor and reviewer in various journals. His research interests include machine learning, deep learning.

L. Natrayan

L. Natrayan is an Associate Dean of Accreditation at SIMATS Deemed University – Chennai, India. He completed his PhD at Vellore Institute of Technology, India. He received B.E (Mechanical Engineering), M.E (Engineering Design) degrees from Anna University - Chennai and MBA (Operational Management) from RVD University - Rajasthan, India. His interests lie in the broad area of Computer Integrated Manufacturing. His research works focus on mathematical analysis of material models and Non-homogenous materials. He was honoured with the prestigious SIMATS Best Faculty (Rank 1) award in 2022 and has received 13 more research awards in SIMATS. His PhD work has been granted two Indian utility patents, and he has authored several technical books in Engineering Design. He has 280+ SCI/Scopus research publications in the Scopus database (cumulative IF: 637+) and more than 4000+ citations (H-index: 40+, i-10 index: 120+) to his credit indexed. He has been recognized by Elsevier and Stanford University -USA, as one of the ‘Top 2% Scientists in the World’.

Kasukurthi Rambabu

Kasukurthi Rambabu received a B. Tech degree in Electrical and Electronics Engineering in 2007 from Jawaharlal Nehru Technological University Hyderabad, Andhra Pradesh and an M. Tech degree in Power Systems Engineering in 2011 from Acharya Nagarjuna University Guntur. Currently pursuing Ph.D. degree in Electrical Engineering from Andhra University, Vishakhapatnam. Also, published 3 Indian Patents. His research interests include Power System Control, Power Electronics, Automatic Generation Control.