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Cross‐entropy method for distribution power systems reconfiguration

Sebaa, Karim; Gelen, Ayetül; Nouri, Hassan

Authors

Karim Sebaa

Ayetül Gelen

Hassan Nouri Hassan.Nouri@uwe.ac.uk
Reader in Electrical Power and Energy



Abstract

Cross-entropy (CE) is a powerful simulation method for the solution of continuous and combinatory optimization problems. The work presented here utilizes the CE method for the optimal topology of distribution power systems (DPSs). The optimal network switches are determined for the reduction of active power loss. The adapted CE method is tested on three case studies, namely, the 33-node, 83-node, and 880-node DPSs. The results are compared with other reconfigura-tion algorithms to demonstrate the superiority of the proposed algorithm. The impact of the distributed generation is also investigated. The effective integration of the photovoltaic panels at midday, when their production is highest and meets the peak demand, is showed. Finally, the real-time reconfiguration strategy based on the switching effort reduction is proposed and enhanced via an adequate selection of the initial switch states.

Journal Article Type Article
Publication Date 2019-10
Journal Engineering Reports
Electronic ISSN 2577-8196
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 1
Issue 3
APA6 Citation Sebaa, K., Nouri, H., & Gelen, A. (2019). Cross‐entropy method for distribution power systems reconfiguration. Engineering Reports, 1(3), https://doi.org/10.1002/eng2.12052
DOI https://doi.org/10.1002/eng2.12052
Keywords combinatory optimization; cross-entropy; distribution power system; loss reduction; reconfiguration; topology
Publisher URL https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.12052
Additional Information Received: 2019-05-19; Accepted: 2019-10-09; Published: 2019-10-29

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Licence
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2019 John Wiley & Sons, Ltd.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.





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