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Optimization of distribution systems continuity indicators using immunological artificial algorithms

机译:使用免疫人工算法优化配电系统连续性指标

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With the issue of Normative Resolution no024 of January 27, 2000, the National Agency of Electric Energy - ANEEL redesigned the rules in dealing with electricity supply continuity. One of the focal points is the ability of dealers to group consumers, considering its electrical characteristics, O & M system, and the possibility of avoiding unnecessary investments in networks, which overtax the electric energy bill. This paper attempts to combine the utility consumers in sets that minimize the risk of penalties and network investments. This problem is a partitioning problem, similar to the redistribution of voting districts in the U.S., known as “Political Districting”. In order to solve the combinatorial explosion problem resulting from the possible areas combinations and minimization of penalties, the model proposed in this paper uses evolutionary computation techniques.
机译:随着2000年1月27日的第n o 024号规范性决议的发布,美国国家电力能源局(ANEEL)重新设计了处理电力供应连续性的规则。重点之一是经销商考虑消费者的电气特性,O&M系统以及对网络进行不必要的投资的可能性,从而对消费者进行分组,这会使电费过高。本文试图将公用事业用户组合在一起,以最大程度地减少罚款和网络投资的风险。此问题是分区问题,类似于美国的投票区重新分配,即所谓的“政治区划”。为了解决可能的区域组合和惩罚最小化而导致的组合爆炸问题,本文提出的模型采用了进化计算技术。

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