Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System

ISBN-13: 9789811904462 / Angielski

Dipayan Guha; Provas Kumar Roy; Subrata Banerjee

Opis

This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a “hybrid power system (HPS)” integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular.

Spis treści

Introduction: Hybrid Distributed Power System (HDPS).- Modeling of HDPS.- Optimization techniques.- Performance analysis of HDPS with conventional controllers.- Optimal and Modern Controller for HDPS.- Fuzzy logic controller for HDPS.- Non-integer controller and Estimation.- Sliding mode controller for HDPS.- Khartinovs theorem-Robustness study of the designed controller.- Model order reduction of HDPSModel order reduction of HDPS.

O autorze

Dipayan Guha received the Ph.D. degree in Electrical Engineering from the National Institute of Technology Durgapur, India, in 2017. He is presently associated with the Electrical Engineering Department of Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. He has seven years of teaching experience. He has published around 60 research papers in international journals and conference records. His research interest includes load frequency control, distributed generations, model order reduction, intelligent control, fractional-order systems/controllers, optimization techniques, estimation, etc. He was awarded Gold Medal in 2013 for ranking in M.Tech. degree and acknowledged with the best journal paper award from Taylor and Francis in 2020. He has supervised eight M.Tech. students, and four are perusing their thesis work. He has reviewed many research works submitted to national/international journals. He has conducted several short-term courses/faculty development programs. He also has records of Govt. funded Consultancy Project. He has also contributed to international conferences like INDICON 2021, UPCON 2020, etc. He is Member of IEEE Control Systems Society, IEEE Power & Energy Society.

Provas Kumar Roy obtained Ph.D. degree in Electrical Engineering from National Institute of Technology, Durgapur, in 2011. He received his Master degree in Electrical Machine in 2001 from Jadavpur University, Kolkata. He finished his engineering studies in Electrical Engineering from Regional Engineering College (Presently Known as National Institute of Technology), Durgapur. Presently, he is working as Professor in Electrical Engineering Department at Kalyani Government Engineering College, West Bengal, India. He was Recipient of the Outstanding Reviewer Award for International Journal of Electrical Power and Energy Systems (Elsevier) in 2018, Engineering Application of Artificial Intelligence (Elsevier) in 2017, Renewable Energy Focus (Elsevier) in 2018, and Ain Shams Engineering Journal (Elsevier) in 2017. He has published more than 180 research papers in national/international journals and conferences. He has more than 100 journals published in reputed SCI and Scopus indexed journals. Moreover, he has more than 12 chapters and one international standard book. Eight research scholars have obtained their Ph.D. degree under his guidance, and 8 students are pursuing their Ph.D. degree. His research interest includes economic load dispatch, optimal power flow, FACTS, automatic generation control, radial distribution network, power system stabilizer, image processing, machine learning, evolutionary computing techniques, etc. The total citation count of his papers is 3750. His name has been included in the “World Ranking of top 2% Scientists” list by Stanford University scientists for two consecutive years, i.e., for the years 2019 and 2020.

Subrata Banerjee has received his Ph.D. degree from IIT Kharagpur, India, in 2005. He is working as Professor with the Department of Electrical Engineering, NIT, Durgapur, India. His research interest includes modeling & control of switch-mode converters and inverters, multilevel inverters, different modulation techniques, electromagnetic levitation, control system design, load frequency control, etc. He has successfully completed a few research and consultancy projects. He has authored about 200 research papers in national/international journals and conference records and 07 chapters. He has guided eleven (11) Ph.D. and twenty-three (23) M.Tech. students, and many are pursuing their degree under his guidance. He has filed three Indian patents out of which one has been granted. Prof. Banerjee is Recipient of several academic awards, including 10 nos. Best Paper Awards and TATA RAO Prize, etc. He is Fellow of the IE (India), the IETE (India), and the IET (UK), Senior Member IEEE (USA). He is serving as Associate Editor in IEEE Access (USA), IET Power Electronics (UK), IEEE TEC eNewsletter (USA), and Transportation Electrification IEEE (USA).

Shubhi Purwar received B.E. from VRCE, Nagpur, India, M.E. from MNREC, Allahabad, India, and Ph.D. from the Indian Institute of Technology Delhi, New Delhi, India, all in Electrical Engineering. She is currently Professor with the Department of Electrical Engineering, MNNIT Allahabad. She has twenty-nine years of teaching experience and has published more than eighty research papers in international journals and conferences. Her research interests include cyber-physical systems, stability and control of hybrid systems, nonlinear control, robotics, and intelligent control.