配电网规划问题进化算法中的边集编码第二部分:多目标优化规划

Electronics, Robotics and Automotive Mechanics Conference (CERMA'06) Pub Date : 1900-01-01 DOI:10.1109/cerma.2006.122

F. Rivas-Dávalos, M. Irving

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引用次数: 2

摘要

第1页见同上，第z000240 -5页(2006)。本文在多目标配电网规划问题上对边缘集编码技术进行了测试。描述了边缘集编码技术及其遗传算子。在Pareto进化算法2的基础上，提出了一种多目标进化算法，并对具有经济成本和无能源两个目标函数的实际配电系统进行了实例研究。结果表明，边集编码技术适用于解决配电系统扩容规划的多目标优化问题

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The Edge-set Encoding in Evolutionary Algorithms for Power Distribution Network Planning Problem Part II: Multi-objective Optimization Planning

For pt.1 see ibid., p.Z000240-5 (2006). In this paper, the edge-set encoding technique is tested on multi-objective power distribution network planning problems. The edge-set encoding technique and its genetic operators are described. A multi-objective evolutionary algorithm was developed, based on the strength Pareto evolutionary algorithm 2, in order to test this encoding technique on several case studies with a real power distribution system with two objective functions: economical cost and energy non-supplied. From the results, it can be said that the edge-set encoding technique is suitable to resolve the multi-objective optimization problem of power distribution system expansion planning

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Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)

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