About the Book
This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analyzing nonlinearities in power plants. The book introduces optimization methods, including machine learning, genetic algorithms, and neural networks, to enhance power system stability, reliability, and efficiency. It bridges theoretical insights with real-world applications in modern power networks.
• Explores the use of AI techniques, including genetic algorithms and fuzzy logic, for power system analysis and optimization.
• Examines power quality issues such as frequency deviations, tie-line power flow variations, and area control errors
• Discusses the tuning of secondary controllers, including PID controllers, using advanced optimization algorithms
• Addresses PQ challenges posed by renewable energy integration and energy storage units
• Covers real-time system monitoring and control for maintaining power quality under nonlinear operating conditions
• Provides a structured approach to analysing system behaviour using mathematical modeling and time-domain simulations
This book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies.
Table of Contents:
1. Introduction 2. Computational techniques in power systems 3. Mathematical model of power systems 4. Different optimization techniques for frequency regulation of multi-source power systems 5. Impact of renewable energy sources in multiarea multi source
power systems 6. Load frequency control of the multiarea multisource power system
with renewable energy and energy storage unit 7. Design of secondary controllers for nonlinear multi-source power systems with energy storage unit and renewable energy 8. Challenges and future work 9. References
About the Author :
Jagatheesan Kaliannan is a Professor in the Department of Electronics and Communication Engineering at M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. He has more than 14 years of teaching experience and 12 years of research experience. He is the author of the book “Bio-Inspired Algorithms in PID Controller Optimization” published by CRC Press, Taylor & Francis Group, New York. Additionally, he has published more than 85 research papers in various reputed journals, book chapters, and international/national conferences with reputed publishers.
His Google Scholar profile shows an h-index of 23 and an i10-index of 42, with 1,734 citations. His primary research interests include power system operation and control, stability analysis, digital controllers, and bio-inspired optimization techniques. He has also organized several national and international-level technical events such as faculty development programs (FDPs), seminars, and workshops. Furthermore, he has published patents and served as a co-coordinator for various academic councils and social activities.
Boopathi Dhanasekaran works as an Associate Professor, Department of Electrical and Electronics Engineering, Paavai Engineering College (Autonomous), Namakkal, Tamil Nadu. He completed B.E (Electrical and Electronics Engineering) in the year 2008, M.E (Applied Electronics) in the year 2011, and Ph.D. degree in the year 2021. He has 16 years of teaching and 13 years of research experience. His research interests are Power system optimization, Power quality, and Power system stability analysis. He has published more than 20 research articles in reputed journals, as book chapters, and through conferences. His h-index is 11, and his i10 index is 11 with more than 350 citations.
Sourav Samanta is currently working as Assistant Professor in the Department of Computer Science and Engineering at University Institute of Technology, The University of Burdwan, West Bengal, India. Before joining the University Institute of Technology, he worked as a lecturer at the Gobindpur Sephali Memorial Polytechnic, Guskara, Burdwan, West Bengal. He has completed Ph.D. on Application of Computer Vision in Smart Agriculture at the Indian Institute of Information Technology, Kalyani. He has completed M. Tech in Computer Science and Engineering from JIS College of Engineering, WBUT, West Bengal and completed B.E in Information Technology from University Institute of Technology, The University of Burdwan, Burdwan, West Bengal respectively. He has approximately twelve years of academic experience. He has also completed a certificate program in Intellectual Property Rights and Technology Business Management from MAKAUT.
He is working with researchers from five different countries. His research area includes Nature Inspired Computing, Quantum Machine Learning, Computer Vision in Agriculture and Information Security. He has authored 75 research papers, including articles in reputed journals, conference proceedings, and book chapters published by IEEE, Springer, Elsevier, and others. As per Google Scholar, he has 2109 citations with an h-index of 24. He is a member of IEEE, ACM, and other professional organizations. He is the co-author of the book Optimization ofWatermarking in Biomedical Signal published by Lambert Academic Publishing. He is also co-editor of the two books: Design Frameworks for Wireless Networks and Architectural Wireless Networks Solutions and Security Issues published by Springer in Lecture Notes in Networks and Systems Series.
Anand Baskar received his B.E. in Electrical and Electronics Engineering in 2001 from Government College of Engineering, Tirunelveli and M.E. in Power Systems Engineering from Annamalai University in 2002, and Ph.D. in Electrical Engineering from Anna University, Chennai, in 2011. Since 2003, he has been associated with Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India. Currently he is working as a Professor and Head, Department of Electronics and Instrumentation Engineering in the same institution. He is the Chair of the annual IEEE – International Conference on Sustainable Computing and Smart Systems (ICSCSS) being organized by this institution. He received a research grant for a solar-related project from the Anusandhan National Research Foundation (ANRF), Government of India, as an ongoing research work. His research interests include electrical power system operation, control, optimization, and application of AI in power system problems. He has published more than 140 papers in national/international journals and conferences. He is an active member of IEEE, SSI, ISTE, and a Fellow in IE(I).
Kanendra Naidu is a Senior Lecturer at the Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia. He holds both an M.Eng.Sc. and a Ph.D. in Electrical Engineering from the University of Malaya. His research focuses on artificial intelligence applications in power systems, including areas such as load frequency control, energy management systems, virtual power plants, and electric vehicle integration. He has authored over 60 publications in esteemed journals like the International Journal of Electrical Power & Energy Systems, IET Generation, Transmission & Distribution, and IEEE Access, amassing more than 2,602 citations with an h-index of 22. He has led and collaborated on various research projects, notably the development of Virtual Power Plants (VPP) for frequency control ancillary services, modeling of electric vehicle (EV) charging patterns integrating photovoltaic-based stations, and a project on multi-energy ship microgrids. Beyond academia, he consults on initiatives related to EV battery recycling, EVSE scheduling, and energy storage systems. Professionally, he is a Chartered Engineer with the IET (UK), a Senior Member of IEEE, and an active member of the Board of Engineers Malaysia (BEM) and the Malaysia Board of Technologists (MBOT).
