Optimal power flow using evolutionary algorithms

Provas Kumar Roy (Kalyani Government Engineering College, India), Susanta Dutta (Dr. B. C. Roy Engineering College, India)

"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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Year of publication:	[2019]
Authors:	Roy, Provas Kumar ; Dutta, Susanta
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Evolutionärer Algorithmus \| Evolutionary algorithm \| Theorie \| Theory \| Mathematische Optimierung \| Mathematical programming

Extent:	1 Online-Ressource (xiii, 323 Seiten)
Series:	Advances in computer and electrical engineering (ACEE) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Chapter 1. Description of various evolutionary optimization techniques -- Chapter 2. Economic load dispatch: optimal power flow and optimal reactive power dispatch concept -- Chapter 3. Evolutionary algorithm applied to economic load dispatch -- Chapter 4. Optimal power flow and optimal reactive power dispatch using different evolutionary optimization techniques -- Chapter 5. Flexible AC transmission systems (FACTS) controller in power transmission -- Chapter 6. Power flow modeling in power system with multiple FACTS controller -- Chapter 7. Optimal power flow and optimal reactive power dispatch incorporating TCSC-TCPS devices using different evolutionary optimization techniques -- Chapter 8. Optimal location of TCSC, TCPS, and SVC devices for solving OPF and ORPD problem using different evolutionary optimization techniques -- Chapter 9. Optimal location of statcom, SSSC, and UPFC devices for solving OPF and ORPD problem using different evolutionary optimization techniques Also available in print.
ISBN:	978-1-5225-6972-5 ; 1-5225-6971-5 ; 978-1-5225-6971-8
Other identifiers:	10.4018/978-1-5225-6971-8 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

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