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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Vydáno v:Electric power components and systems Ročník 44; číslo 16; s. 1839 - 1853
Hlavní autoři: Leon Ibarra, Marco Antonio, Guardado, Jose Leonardo, Rivas-Davalos, Francisco, Torres Jimenez, Jacinto, Naredo, Jose Luis
Médium: Journal Article
Jazyk:angličtina
Vydáno: Philadelphia Taylor & Francis 01.10.2016
Taylor & Francis Ltd
Témata:
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
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Abstract 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.
AbstractList 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.
Author Leon Ibarra, Marco Antonio
Guardado, Jose Leonardo
Rivas-Davalos, Francisco
Naredo, Jose Luis
Torres Jimenez, Jacinto
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  givenname: Jose Luis
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SubjectTerms 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
Title An Elitist Local Search Based Multi-objective Algorithm for Power Distribution System Reconfiguration
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