基于非支配遗传算法的双花瓣配电网多故障抢修策略

Multi-fault Repair Strategy for Petal-shape Distribution Network Based on NSGA-Ⅱ

  • 摘要: 新型的双花瓣配电网络具有极高的供电可靠性,但是在面对多重故障时,其多环网闭合运行的特性导致缺少适配的算法进行抢修策略的制定。为解决这一问题,建立一种考虑双花瓣配电网合环运行特性,根据抢修时间和负荷等级的配电网多故障抢修目标优化模型,提出一种针对环网改进的非支配遗传算法(Non-dominated sorting genetic algorithm-Ⅱ,NSGA-Ⅱ),实现了在双花瓣环网构型中应用智能优化算法求解抢修方案。最后经过模拟仿真,验证了所提算法在制定抢修恢复策略上表现得更为高效,且适合在实际抢修工作中使用。

     

    Abstract: Petal distribution network has extremely high power supply reliability, but its multi-loop closed operation characteristics in the face of multiple faults lead to a lack of adaptive algorithms for formulating repair strategies. To address this issue, an optimization model for multi-fault repair objectives in distribution networks that takes into account the operational characteristics of dual petal distribution networks is established. Based on the repair time and load level, a non-dominated sorting genetic algorithm-Ⅱ is proposed for improving the ring network. The intelligent optimization algorithm is applied to solve the repair plan in the dual petal ring network configuration. Finally, through simulation, it is verified that the proposed algorithm performs more efficiently in formulating repair and recovery strategies, and is suitable for practical repair work.

     

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