The utilization of fixed capacitors (FCs) in shunt connection is one of the common methods to improve the power quality of distribution systems. In this paper, a novel optimization technique called Ant lion optimizer (ALO) is used to determine the optimal generated VARs capacity and locations of FCs. The objective functions are adopted to minimize the total distribution power lossand to improve the voltage profile. The ALO is performed to medium and large scales radial distribution systems (RDS) such as; IEEE 33-bus and 69-bus test systems. The Numerical results illustrate that the Ant lion optimizer (ALO) offer optimal solutions better than many other heuristic algorithms.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The utilization of fixed capacitors (FCs) in shunt connection is one of the common methods to improve the power quality of distribution systems. In this paper, a novel optimization technique called Ant lion optimizer (ALO) is used to determine the optimal generated VARs capacity and locations of FCs. The objective functions are adopted to minimize the total distribution power lossand to improve the voltage profile. The ALO is performed to medium and large scales radial distribution systems (RDS) such as; IEEE 33-bus and 69-bus test systems. The Numerical results illustrate that the Ant lion optimizer (ALO) offer optimal solutions better than many other heuristic algorithms. 64 pp. Englisch. Codice articolo 9783330044142
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The utilization of fixed capacitors (FCs) in shunt connection is one of the common methods to improve the power quality of distribution systems. In this paper, a novel optimization technique called Ant lion optimizer (ALO) is used to determine the optimal generated VARs capacity and locations of FCs. The objective functions are adopted to minimize the total distribution power lossand to improve the voltage profile. The ALO is performed to medium and large scales radial distribution systems (RDS) such as; IEEE 33-bus and 69-bus test systems. The Numerical results illustrate that the Ant lion optimizer (ALO) offer optimal solutions better than many other heuristic algorithms. Codice articolo 9783330044142
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Reddy A.V. SudhakaraDr. A. V. SUDHAKARA REDDY has 12 years of experience in Teaching and Research. He received Doctor of Philosophy from Sri Venkateswara University, India. Presently he is working as Assistant Professor and R&D Assoc. Codice articolo 516599132
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The utilization of fixed capacitors (FCs) in shunt connection is one of the common methods to improve the power quality of distribution systems. In this paper, a novel optimization technique called Ant lion optimizer (ALO) is used to determine the optimal generated VARs capacity and locations of FCs. The objective functions are adopted to minimize the total distribution power lossand to improve the voltage profile. The ALO is performed to medium and large scales radial distribution systems (RDS) such as; IEEE 33-bus and 69-bus test systems. The Numerical results illustrate that the Ant lion optimizer (ALO) offer optimal solutions better than many other heuristic algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Codice articolo 9783330044142
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Optimal Capacitor Placement In Distribution Systems | A. V. Sudhakara Reddy (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9783330044142 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 120686277
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