A Novel Stochastic Framework Based on Cloud Theory and \theta -Modified Bat Algorithm to Solve the Distribution Feeder Reconfiguration

Distribution feeder reconfiguration (DFR) is a precious operation strategy that can improve the system from different aspects including total cost, reliability, and power quality. Nevertheless, the high complexity of the new smart grids has resulted in much uncertainty in the DFR problem that necess...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 7; H. 2; S. 740 - 750
Hauptverfasser:	Kavousi-Fard, Abdollah, Niknam, Taher, Fotuhi-Firuzabad, Mahmud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2016
Schlagworte:	Algorithms Cloud theory Clouds Computer simulation distribution feeder reconfiguration (DFR) Entropy Feeders Optimization Probability density function Smart grid Sociology Stochastic processes Stochasticity Switches Uncertainty θ-modified bat algorithm (θ-MBA) Cloud theory distribution feeder reconfiguration (DFR) uncertainty theta -modified bat algorithm ( theta -MBA)
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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