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A multiobjective evolutionary algorithm for distribution system reconfiguration

机译:配电系统重构的多目标进化算法

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This paper presents an effective method—variable scaling hybrid differential evolution (VSHDE)—for solving the network reconfiguration for power loss reduction and voltage profile improvement of distribution systems. The network reconfiguration of distribution systems is to beneficially recognize load transfers so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The variable scaling factor based on the 1/5 success rule is used in the VSHDE method to overcome the drawback of the fixed and random scaling factor and alleviate the problem of the selection of a mutation operator in the hybrid differential evolution (HDE). VSHDE algorithm has been applied for the test systems and the performance of the proposed method with genetic algorithms (GAs), and simulated annealing (SA). Numerical results show that the performance of the proposed method is better than the other methods.
机译:本文提出了一种有效的方法-可变比例混合差分进化(VSHDE)-解决网络重新配置以降低配电系统的功率损耗和改善电压曲线的方法。配电系统的网络重新配置将有利地识别负载转移,从而使由功率损耗组成的目标函数最小化,并满足规定的电压极限。在VSHDE方法中使用了基于1/5成功规则的可变比例因子,以克服固定比例因子和随机比例因子的缺点,并减轻了混合差分进化(HDE)中选择变异算子的问题。 VSHDE算法已应用于测试系统,并通过遗传算法(GA)和模拟退火(SA)来实现该方法的性能。数值结果表明,该方法的性能优于其他方法。

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