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Electric distribution network multiobjective design using a problem-specific genetic algorithm
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DOI：10.1109/TPWRD.2005.858779.png)
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Abstract
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This paper presents a multiobjective approach for the design of electrical distribution networks. The objectives are defined as a monetary cost index (including installation cost and energy losses cost) and a system failure index. The true Pareto-optimal solutions are found with a multiobjective genetic algorithm that employs an efficient variable encoding scheme and some problem-specific mutation and crossover operators. Results based on 21- and 100-bus systems are presented. The information gained from the Pareto-optimal solution set is shown to be useful for the decision-making stage of distribution network evolution planning.
Keywords:
decision-making
energy distribution networks
genetic algorithms (GAs)
multiobjective optimization
network topology optimization
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