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首页> 外文期刊>Electric power systems research >A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders
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A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders

机译：一种多目标算法，用于确定配电馈线中的服务外节点的巡逻序列

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摘要

During outages, Distribution Operation Centers establish a restoration plan to isolate the area that is probably faulty and reconnect all functioning components of a feeder. Despite all technological advances made in the last few decades, the final step to locate the faulty point is taken visually by repair field crews based on a patrol sequence. There is a lack of procedures to determine patrol sequences in literature, which is usually performed by the repair crew itself. Therefore, this paper offers an introduction to define patrol sequences in a multi-objective context. Furthermore, the Multi-Objective Discrete Particle Swarm Optimization has been proposed by using the 3-Opt algorithm and initialization heuristics based on an RNN algorithm - MODPSO+RNN+LS(3-Opt)-, which emulates the decisions made by the repair crew in the field. Lastly, the MODPSO+RNN+LS(3-Opt) was evaluated based on the IEEE 37-node and 123-node test feeders. The obtained results cast light upon how the initialization heuristics and local search method improve the final set of patrol sequence. In addition, it is also possible to find how the multi-objective context of the problem increases its complexity and how likely decisions that are typically made by the field repair crew could be improved by an optimization technique.
机译：在中断过程中，分销操作中心建立了恢复计划，以隔离可能有故障并重新连接馈线的所有功能部件的区域。尽管在过去的几十年中取出的所有技术进步，但是通过基于巡逻序列修复现场工作人员，在视觉上取出故障点的最后一步。缺乏确定文献中的巡逻序列的程序，这通常由修复船员本身进行。因此，本文提供了在多目标背景下定义巡逻序列的介绍。此外，通过使用基于RNN算法的3-OPT算法和初始化启发式来提出多目标离散粒子群优化 - MODPSO + RNN + LS（3-OPT） - 这模拟了修复机组人员所做的决定在该领域。最后，基于IEEE 37节点和123节点测试馈线评估MODPSO + RNN + LS（3-OPT）。所获得的结果阐明了初始化启发式和本地搜索方法如何改善最终巡逻序列。另外，还可以找到问题的多目标背景如何增加其复杂性以及通常由现场修复机组人员通常做出的决定是通过优化技术提高的。

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