An approach based on the strength pareto evolutionary algorithm 2 for power distribution system planning

Authors:
Francisco Rivas-Dávalos;Malcolm R. Irving
Affiliations:
Instituto Tecnológico de Morelia, Morelia, Mich., México;Brunel University, Uxbridge, Middlesex, United Kingdom
Venue:
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Year:
2005

Citing 1
Cited 4

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Fuzzy-Pareto-dominance driven possibilistic model based planning of electrical distribution systems using multi-objective particle swarm optimization

Expert Systems with Applications: An International Journal
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Fuzzy Sets and Systems

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Abstract

The vast majority of the developed planning methods for power distribution systems consider only one objective function to optimize. This function represents the economical costs of the systems. However, there are other planning aspects that should be considered but they can not be expressed in terms of costs; therefore, they need to be formulated as separate objective functions. This paper presents a new multi-objective planning method for power distribution systems. The method is based on the Strength Pareto Evolu-tionary Algorithm 2. The edge-set encoding technique and the constrain-domination concept were applied to handle the problem constraints. The method was tested on a real large-scale system with two objective functions: economical cost and energy non-supplied. From these results, it can be said that the proposed method is suitable to resolve the multi-objective problem of large-scale power distribution system expansion planning.