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首页> 外文会议>Iinternational conference on industrial, engineering and other applications of applied intelligence systems >Multiple Objectives Reconfiguration in Distribution System Using Non-Dominated Sorting Charged System Search
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Multiple Objectives Reconfiguration in Distribution System Using Non-Dominated Sorting Charged System Search

机译：使用非支配排序收费系统搜索的配电系统中的多目标重新配置

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Distribution system reconfiguration is achieved by changing the statuses of the switches. A number of targets of distribution system operation can be achieved after feeder reconfiguration operation. In general, while constructing the feeder reconfiguration, some factors need be considered. For example, primary feeder losses minimization, the number of switch actions reduction and voltage profile. Weighted sum method is used when multiple objective problems have to be solved. However, through the use of the weighted sum method, only one solution can be found. This is not preferred by distribution systems operators. So as to provide multiple compromise solutions, the multi-objective approach is one of the methods. In order to provide operators with different compromise solutions, A Non-Dominated Sorting Charged System Search (NDSCSS) is proposed to solve the multi-objective problems of distribution systems. Because the values of different factors are made using diverse topologies, these topologies can find different solutions. In order to generate a legal topology, the Zone Real Number Strings (ZRNS) encoding/decoding scheme is used. The 33-bus is implemented. The performance of Non-Dominated Sorting Evolutionary Programming (NSEP), Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Charged System search (NDSCSS) are compared. The results indicate that NDSCSS can search for the best solutions among the three considered algorithms for distribution system reconfiguration problems.
机译：配电系统的重新配置是通过更改交换机的状态来实现的。馈线重新配置操作后，可以实现配电系统操作的许多目标。通常，在构造馈线重新配置时，需要考虑一些因素。例如，一次馈线的损耗最小化，开关动作的数量减少和电压曲线。当必须解决多个目标问题时，使用加权和方法。但是，通过使用加权和方法，只能找到一种解决方案。这不是配电系统运营商的首选。为了提供多种折衷解决方案，多目标方法是其中一种方法。为了给运营商提供不同的折衷解决方案，提出了一种非支配排序收费系统搜索（NDSCSS）来解决配电系统的多目标问题。由于使用不同的拓扑来确定不同因素的价值，因此这些拓扑可以找到不同的解决方案。为了生成合法的拓扑，使用了区域实数字符串（ZRNS）编码/解码方案。实现了33总线。比较了非支配排序进化规划（NSEP），多目标粒子群优化（MOPSO）和非支配排序收费系统搜索（NDSCSS）的性能。结果表明，NDSCSS可以在三种考虑的配电系统重配置算法中寻找最佳解决方案。

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