In today's society, modern power grids are driven closer to transfer capacities due to increased consumption and power transfers, endangering the security of the systems. Providing methods in controlling variables to minimize costs, transmission loss, and voltage deviation of power system operation yields valuable economic information and insight into power flow.
Optimal Power Flow Using Evolutionary Algorithms provides emerging research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. Featuring coverage on a broad range of topics such as hybridization algorithm, power system modeling, and transmission systems, this book is ideally designed for engineers, power system developers, academicians, and researchers seeking current research on emerging techniques in achieving quality power under normal operating conditions.
"synopsis" may belong to another edition of this title.
Provas Kumar Roy was born in 1973 at Mejia, Bankura, West Bengal, India. He received the BE degree in Electrical Engineering from R.E. College, Durgapur, Burdwan, India in 1997; ME degree in Electrical Machine from Jadavpur University, Kolkata, India in 2001 and PhD from NIT Durgapur in 2011. Presently he is working as Professor in the department of Electrical Engineering, Kalyani Government Engineering College, Kalyani, India. He has published more than 125 research papers in international journals and conferences. His field of research interest includes Economic Load Dispatch, Optimal Power flow, FACTS, Unit Commitment, Radial Distribution System, State Estimation, Automatic Generation Control, Power System Stabilizer and Evolutionary computing techniques.
Susanta Dutta was born in 1976 at Bankura, West Bengal, India. He received the BE degree in Electrical Engineering from Dr. B.C. Roy Engineering College, Durgapur, Burdwan, West Bengal India in 2004; ME degree from NIT Durgapur, India in 2007. He completed his PhD from NIT Durgapur in 2016.Presently he is working as Assistant Professor in the department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, India. His field of research interest includes Economic Load Dispatch, Optimal Power flow, FACTS, Automatic Generation Control, Evolutionary computing techniques. He has published more than 15 research papers in international journals and conferences.
"About this title" may belong to another edition of this title.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781522587699_new
Quantity: Over 20 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781522587699
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781522587699
Quantity: Over 20 available
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. The book featuring coverage of a broad range of topics, including hybridization algorithm, power system modelin. Seller Inventory # 448011478
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book explores how to optimize power system performance by analyzing a number of power system optimization problems such as optimal power flow (OPF) and OPF incorporating flexible AC transmission system (FACTS), optimal reactive power dispatch (ORPD) incorporating FACTS, optimal location of FACTS device for solving OPF and ORPD problems'. Seller Inventory # 9781522587699
Quantity: 1 available