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Research Article Open access CC BY 4.0

Reliable Distribution Feeder Reconfiguration Containing Distributed Generation Using Evolutionary Algorithm

Mahmoud Boskabadi, Mahmoud Oukati Sadegh

Current Journal of Applied Science and Technology · pp. 1–8 · Published 12 Dec 2017

10.9734/CJAST/2017/38162

Abstract

Aims: One of very important method for saving electrical energy and loss reduction in distribution systems is distributed feeder reconfiguration (DFR). This process is carried out by changing distribution system topology by opening and/or closing of circuit breakers. Place and Duration of Study: Department of Electrical and Electronic Eng, University of Sistan and Baluchestan, Zahedan, Iran, 2015-2016. Methodology: Status of the circuit breakers is optimally determined to have an improved system operation and reduced power losses. Results: This paper proposes a multi-objective evolutionary method for distribution feeder reconfiguration. The multi-objectives optimization minimizes power losses and improves reliability of the system. For this purpose, a particle swarm optimization algorithm is used for solving the problem. Conclusion: Simulation results show the efficiency of the proposed method for DFR.

Feeder reconfiguration distributed generation hybrid evolutionary algorithm loss reduction

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