Isbn: 9783659524448 - hybrid differential evolution particle swarm optimization algorithm (9 resultados)

Condición: New. pp. 64.

Taschenbuch. Condición: Neu. Hybrid Differential Evolution Particle Swarm Optimization Algorithm | Vaddi Ramesh (u. a.) | Taschenbuch | 64 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659524448 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In an alternating current system, if the system is resistive i.e. voltage and current are in phase only real power is transmitted and if there is a time shift between voltage and current both active and reactive power are transmitted. When the average with respect to time is calculated, the average active power exists causing a net flow of energy from one point to another, whereas average reactive power is zero, irrespective of the network or state of the system.This project presents and compares three algorithms based on swarm intelligence and evolutionary techniques for solving the reactive power optimization problem Case studies on the IEEE 10-bus,34-bus systems illustrate the effectiveness of these algorithms in terms of the quality of the solutions found and their convergence characteristics. The results proved that the proposed DEPSO algorithm provides higher-quality solution with smaller iterations than the other two methods. DEPSO indeed outperforms DE or basic PSO method on this problem when comparing power loss reduction and number of iterations required for achieving convergence 64 pp. Englisch.…

Condición: New. Print on Demand pp. 64 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 64.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramesh VaddiThe author obtained his B.Tech degree in Electrical and Electronics Engineering from the college of JNTU Hyderabad, M.Tech degree in with a specialization in Power Electronics from JNTU Anantapur,India and Presently Pursu.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In an alternating current system, if the system is resistive i.e. voltage and current are in phase only real power is transmitted and if there is a time shift between voltage and current both active and reactive power are transmitted. When the average with respect to time is calculated, the average active power exists causing a net flow of energy from one point to another, whereas average reactive power is zero, irrespective of the network or state of the system.This project presents and compares three algorithms based on swarm intelligence and evolutionary techniques for solving the reactive power optimization problem Case studies on the IEEE 10-bus,34-bus systems illustrate the effectiveness of these algorithms in terms of the quality of the solutions found and their convergence characteristics. The results proved that the proposed DEPSO algorithm provides higher-quality solution with smaller iterations than the other two methods. DEPSO indeed outperforms DE or basic PSO method on this problem when comparing power loss reduction and number of iterations required for achieving convergenceVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an alternating current system, if the system is resistive i.e. voltage and current are in phase only real power is transmitted and if there is a time shift between voltage and current both active and reactive power are transmitted. When the average with respect to time is calculated, the average active power exists causing a net flow of energy from one point to another, whereas average reactive power is zero, irrespective of the network or state of the system.This project presents and compares three algorithms based on swarm intelligence and evolutionary techniques for solving the reactive power optimization problem Case studies on the IEEE 10-bus,34-bus systems illustrate the effectiveness of these algorithms in terms of the quality of the solutions found and their convergence characteristics. The results proved that the proposed DEPSO algorithm provides higher-quality solution with smaller iterations than the other two methods. DEPSO indeed outperforms DE or basic PSO method on this problem when comparing power loss reduction and number of iterations required for achieving convergence.…