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An application of genetic algorithms to the network reconfiguration in distribution for loss minimization and load balancing problem. II

机译:遗传算法在配电网络重构中的应用,以最小化损失和负载均衡问题。 II

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Network reconfiguration in distribution systems is realized by changing the status of sectionalizing switches, and is usually done for loss reduction or for load balancing in the power system. This paper presents a new method which applies a genetic algorithm to determine which sectionalizing switch to operate in order to solve the distribution system loss minimization reconfiguration problem. In addition, the proposed method introduces a new limited life feature for performing natural selection of individuals. Simulations are carried out in order to verify the effectiveness of the proposed method. These results show that the proposed method is effective in dealing with the problems of homogeneity and genetic drift associated with the population in the initial state.
机译:配电系统中的网络重新配置是通过更改分段交换机的状态来实现的,通常是为了减少损耗或实现电力系统中的负载平衡而进行的。本文提出了一种新的方法,该方法运用遗传算法来确定要操作哪个分段开关,以解决配电系统损耗最小化的重新配置问题。另外,所提出的方法引入了新的有限寿命特征,用于进行个体的自然选择。为了验证所提出方法的有效性,进行了仿真。这些结果表明,所提出的方法在处理与初始状态下的种群有关的同质性和遗传漂移问题方面是有效的。

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