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Energies 2018, 11(5), 1278; https://doi.org/10.3390/en11051278

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

Department of Power Engineering, University of Split-FESB, 21000 Split, Croatia
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Received: 3 April 2018 / Revised: 2 May 2018 / Accepted: 12 May 2018 / Published: 16 May 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

This paper presents novel cycle-break (spanning tree generation) algorithms which can be used to find the optimal distribution network topology. These algorithms (adjacency matrix/top-down/bottom-up cycle break) represent a novel way of obtaining radial network topology by cycle regrouping using adjacency matrix or elementary cycle information. Proposed methods assure connected radial network topology and can be used in combination with genetic algorithms to obtain optimal distribution network structure under minimum active power loss or network loading index framework. The cycle-break algorithms are used in initial population generation, crossover and mutation process to enhance the performance of the genetic algorithms in terms of convergence rate. These modifications make the proposed approach suitable for the use on realistic distribution networks without concern of its complexity. The algorithms are tested on a several standard test networks and the results are compared with the other existing approaches. View Full-Text
Keywords: distribution network reconfiguration; active power loss; load balancing; cycle-break algorithms; genetic algorithms distribution network reconfiguration; active power loss; load balancing; cycle-break algorithms; genetic algorithms
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Čađenović, R.; Jakus, D.; Sarajčev, P.; Vasilj, J. Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms. Energies 2018, 11, 1278.

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