Reliable Distribution Feeder Reconfiguration Containing Distributed Generation Using Evolutionary Algorithm

Journal Title: Current Journal of Applied Science and Technology - Year 2017, Vol 25, Issue 1

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.

Authors and Affiliations

Mahmoud Boskabadi, Mahmoud Oukati Sadegh

Keywords

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  • EP ID EP318325
  • DOI 10.9734/CJAST/2017/38162
  • Views 142
  • Downloads 0

How To Cite

Mahmoud Boskabadi, Mahmoud Oukati Sadegh (2017). Reliable Distribution Feeder Reconfiguration Containing Distributed Generation Using Evolutionary Algorithm. Current Journal of Applied Science and Technology, 25(1), 1-8. https://europub.co.uk/articles/-A-318325