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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Bibliographic Details
Published in:	IEEE transactions on smart grid Vol. 7; no. 2; pp. 740 - 750
Main Authors:	Kavousi-Fard, Abdollah, Niknam, Taher, Fotuhi-Firuzabad, Mahmud
Format:	Journal Article
Language:	English
Published:	IEEE 01.03.2016
Subjects:	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 Access:	Get full text
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