An Elitist Local Search Based Multi-objective Algorithm for Power Distribution System Reconfiguration

This article proposes a new evolutionary algorithm for power distribution system reconfiguration considering a multi-objective optimization approach. The proposed algorithm is based on the use of local searches distributed strategically along the Pareto front. The combination of local searches with...

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Bibliographic Details
Published in:Electric power components and systems Vol. 44; no. 16; pp. 1839 - 1853
Main Authors: Leon Ibarra, Marco Antonio, Guardado, Jose Leonardo, Rivas-Davalos, Francisco, Torres Jimenez, Jacinto, Naredo, Jose Luis
Format: Journal Article
Language:English
Published: Philadelphia Taylor & Francis 01.10.2016
Taylor & Francis Ltd
Subjects:
Algorithms
Deviation
distribution systems
Electric potential
Electric utilities
Elitism
evolutionary algorithms
Interruption
local search
multi-objective optimization
network reconfiguration
Pareto front
Performance indices
Power distribution
Reconfiguration
Searching
ISSN:1532-5008, 1532-5016
Online Access:Get full text
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Summary:This article proposes a new evolutionary algorithm for power distribution system reconfiguration considering a multi-objective optimization approach. The proposed algorithm is based on the use of local searches distributed strategically along the Pareto front. The combination of local searches with elitism improves the convergence speed, diversity, and quality of the solutions found. The performance of the algorithm was successfully tested on several distribution systems, and the results show an improvement over those provided by other techniques. The objective functions to optimize are typical of distribution systems: power losses, voltage deviation, system average interruption frequency index, system average interruption duration index, energy not supplied, and customer average interruption duration index.
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ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2016.1198845