基于多目标遗传算法的配电网开关设备优化配置

M. Mazidi, M. Aghazadeh, Yousef Ahmadi Teshnizi, E. Mohagheghi
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引用次数: 8

摘要

客户不可用的主要原因是配电网中发生的事件。因此,提高配电网的可靠性是必须考虑的重要问题之一。在电网沿线安装分段器等交换设备,对系统的可靠性有积极的影响,但当然也涉及到效用成本。本文的主要目的是确定配电网络中分段器的最佳数量和位置。考虑到问题的非线性和不可微性,用一般的方法求解问题是不可能的。本文采用NSGAII多目标遗传算法求解优化问题,以最小化分段器的安装成本,同时提高可靠性指标,即系统平均中断时间指数(SAIDI)、期望客户中断成本(ECOST)。在50条馈线配电网上对该算法的有效性进行了评价,并对仿真结果进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal placement of switching devices in distribution networks using multi-objective genetic algorithm NSGAII
The main reason of customer unavailability is the events occurring in distribution networks. Hence, one of the most important issues should be considered is improving reliability of distribution networks. Installation of switching devices like sectionalizers along the network, positively affects the system reliability, but, of course, it involves utility cost. The main aim of this paper is to determine optimal number and place of sectionalizers in distribution networks. By considering non-linear and non-differentiable nature of problem, using common methods to solve the problem is not possible. In this paper the optimization problem is solved by multi-objective genetic algorithm NSGAII to minimize installation cost of sectionalizers, simultaneously improving reliability indices, i.e. System Average Interruption Duration Index (SAIDI), Expected customer interruption cost (ECOST). Effectiveness of the proposed algorithm is evaluated on a 50 feeder distribution network and simulation results are assessed.
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