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Neural Computing and Applications

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16.06.2020 | Original Article

An effective method to solve the problem of electric distribution network reconfiguration considering distributed generations for energy loss reduction

verfasst von: Thuan Thanh Nguyen, Thang Trung Nguyen, Long Thanh Duong, Viet Anh Truong

Erschienen in: Neural Computing and Applications | Ausgabe 5/2021

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Abstract

This paper proposes an effective network reconfiguration (NR) method in the presence of distributed generations (DGs) for energy loss. The proposed method uses average load and average power of DGs instead of the load and DGs’ generation curves. For finding the optimal network configuration, pathfinder algorithm (PFA) is used to solve the NR problem. The effectiveness of the proposed method has been validated on two distribution network systems without and with DGs placement. The obtained results show that the proposed method has a good ability to determine the optimal configuration similar to the method based on the graphs of loads and DGs with much shorter calculated time and PFA can reach optimal solution with a much higher success rate and better obtained solution compared with particle swarm optimization and sunflower optimization algorithms. As a result, the proposed method is an effective and reliable method for solving the NR problem for energy loss reduction considering time-varying condition of loads and DGs.

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Titel: An effective method to solve the problem of electric distribution network reconfiguration considering distributed generations for energy loss reduction
verfasst von: Thuan Thanh Nguyen
Thang Trung Nguyen
Long Thanh Duong
Viet Anh Truong
Publikationsdatum: 16.06.2020
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 5/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-05092-2

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