Optimal Power Flow Using Evolutionary Algorithms (Advances in Computer and Electrical Engineering) - Hardcover

Roy, Provas Kumar; Dutta, Susanta

 
9781522569718: Optimal Power Flow Using Evolutionary Algorithms (Advances in Computer and Electrical Engineering)
Hardcover
ISBN 10: 1522569715 ISBN 13: 9781522569718
Verlag: Engineering Science Reference, 2018

Inhaltsangabe

"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"--

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Über die Autorinnen und Autoren

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.

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Verlag
Engineering Science Reference
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
1522569715
ISBN 13 
9781522569718
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
344
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

Weitere beliebte Ausgaben desselben Titels

9781522587699: Optimal Power Flow Using Evolutionary Algorithms

Vorgestellte Ausgabe

ISBN 10:  1522587691 ISBN 13:  9781522587699
Verlag: Engineering Science Reference, 2018
Softcover