GA based distribution network expansion. Part 2. Case study: IEEE-30 test system

S. Kilyeni, C. Barbulescu, C. Oros, A. Deacu
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Abstract

The renewable sources' influence regarding the distribution network expansion planning is tackled. The network expansion is discussed in two cases: with and without renewable sources. The obtained expansion solutions are analyzed and a final one is proposed by the authors. To achieve this goal network reconfiguration and N-1 contingecies are performed. The goal is to supply all the consumers for each operating condition. Also, the technical losses have to be minimized. The power flow is computed using conventional methods, but the optimal power flow and distribution network expansion are performed using genetic algorithms (GA). Thus, the authors have developed an own software tool in Matlab environment.
基于遗传算法的配电网扩展。第2部分。案例研究:IEEE-30测试系统
论述了可再生能源对配电网扩容规划的影响。讨论了两种情况下的网络扩展:使用和不使用可再生能源。对得到的展开式解进行了分析,并给出了最后一个展开式解。为了实现这一目标,进行了网络重构和N-1应急。目标是为每个操作条件提供所有的消费者。同时,技术上的损失也必须降到最低。配电网潮流计算采用传统方法,配电网最优潮流和扩容采用遗传算法。因此,作者在Matlab环境下开发了自己的软件工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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