Application of Computational Techniques in Power Systems for Power Quality Improvement

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 analysing nonlinearities in power plants. The book introduces optimisation 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 optimisation.

- 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 optimisation 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 modelling 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.

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 80 research papers in various reputed journals, book chapters, and international/national conferences with reputed publishers.

His Google Scholar profile shows an h-index of 21 and an i10-index of 41, with 1,643 citations. His primary research interests include power system operation and control, stability analysis, digital controllers, and bio-inspired optimisation techniques. He has also organised 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, Tamilnadu. He has 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, Power system stability analysis. He has published more than 20 research articles in reputed journals, as book chapters, and throught conferences. His hindex is 11 and i10 index is 11 with more than 350 citations.

Sourav Samanta is an Assistant Professor in the Department of Computer Science & Engineering at the University Institute of Technology, The University of Burdwan, India. He has around twelve years of academic experience and previously worked as a lecturer at Gobindpur Sephali Memorial Polytechnic. He holds an M.Tech in Computer Science and Engineering and a B.E in Information Technology. His research areas include Nature-Inspired Computing, Quantum Machine Learning, and Computer Vision in Agriculture. He has authored 70 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 2050 citations with an h-index of 23. He is a member of IEEE, ACM, and other professional organizations.

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, Tamilnadu, India. Currently he working as a Professor and Head, Department of Electronics and Instrumentation Engineering in the same institution. He is the Chair of annual IEEE - International Conference on Sustainable Computing and Smart Systems (ICSCSS) being organized by this institution.

He received a research grant for solar related project from Anusandhan National Research Foundation (ANRF), Government of India, as an ongoing research work.His research interests includes electrical power system operation, control, optimization, and application of AI in power system problems. He has published more than 130 papers in national/ international journals and conferences. He is an active member in IEEE, SSI, ISTE and 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 2,500 citations with an h-index of 21. 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 project on multi-energy ship microgrid. 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).