Optimal Reconfiguration of Distribution Networks Using Hybrid Heuristic-Genetic Algorithm

Damir Jakus, Rade Čađenović, Josip Vasilj and Petar Sarajčev
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Damir Jakus: Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split 21000, Croatia
Rade Čađenović: Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split 21000, Croatia
Josip Vasilj: Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split 21000, Croatia
Petar Sarajčev: Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split 21000, Croatia

Energies, 2020, vol. 13, issue 7, 1-21

Abstract: This paper describes the algorithm for optimal distribution network reconfiguration using the combination of a heuristic approach and genetic algorithms. Although similar approaches have been developed so far, they usually had issues with poor convergence rate and long computational time, and were often applicable only to the small scale distribution networks. Unlike these approaches, the algorithm described in this paper brings a number of uniqueness and improvements that allow its application to the distribution networks of real size with a high degree of topology complexity. The optimal distribution network reconfiguration is formulated for the two different objective functions: minimization of total power/energy losses and minimization of network loading index. In doing so, the algorithm maintains the radial structure of the distribution network through the entire process and assures the fulfilment of various physical and operational network constraints. With a few minor modifications in the heuristic part of the algorithm, it can be adapted to the problem of determining the distribution network optimal structure in order to equalize the network voltage profile. The proposed algorithm was applied to a variety of standard distribution network test cases, and the results show the high quality and accuracy of the proposed approach, together with a remarkably short execution time.

Keywords: distribution network reconfiguration; energy losses minimization; load balancing; heuristic approach; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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