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Multi Objective Optimization Of RDS Using HSA
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139983231
ISBN 13: 9786139983230
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Da: Buchpark, Trebbin, Germania
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 96 | Sprache: Englisch | Produktart: Bücher. Codice articolo 33420634/2
Quantità: 1 disponibili
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Multi Objective Optimization Of RDS Using HSA
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139983231
ISBN 13: 9786139983230
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Thangavelu MaliniT.Malini, Assistant Professor/EEE at Sri Krishna College of Engineering and Technology, Coimbatore. She is Specialized in the area of Power Systems for the past 8 years.A.Sruthi, Assistant Professor/EEE at Sri Krishn. Codice articolo 264519290
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Multi Objective Optimization Of RDS Using HSA
Editore:
LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 6139983231
ISBN 13: 9786139983230
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss, reactive power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously re-configure and identify the optimal locations for installation of DG units in a distribution network. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on 33- bus radial distribution systems. 96 pp. Englisch. Codice articolo 9786139983230
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Multi Objective Optimization Of RDS Using HSA
Editore:
LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 6139983231
ISBN 13: 9786139983230
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -This book presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss, reactive power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously re-configure and identify the optimal locations for installation of DG units in a distribution network. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on 33- bus radial distribution systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Codice articolo 9786139983230
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Multi Objective Optimization Of RDS Using HSA
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139983231
ISBN 13: 9786139983230
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss, reactive power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously re-configure and identify the optimal locations for installation of DG units in a distribution network. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on 33- bus radial distribution systems. Codice articolo 9786139983230
Quantità: 1 disponibili