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An optimized power terminal communication access network planning based on hierarchical genetic algorithm

机译:基于层次遗传算法的电力终端通信接入网优化规划

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Power terminal communication access network (PTCAN) is an important network for smart grid applications due to its ability of monitoring and remotely controlling smart power distribution devices and carrying the consumer information. In this paper, a hierarchical genetic algorithm is proposed to plan and optimize the Industrial Ethernet based PTCAN. The key idea of the algorithm is to transform the tree-form topology of power distribution network to a ring-form topology of PTCAN. A depth-first pre-order traversal based chromosome initialization method is raised in this paper and a hierarchical planning scheme is proposed to simplified the algorithm complexity. Corresponding evaluation and selection function, crossover and mutation method are designed and described in detail. At last, a simulation is performed, the result shows our algorithm is fully feasible and has advantages of faster convergence rate and better performance.
机译:电力终端通信访问网络(PTCAN)是智能电网应用程序的重要网络,因为它具有监视和远程控制智能配电设备并携带用户信息的能力。本文提出了一种层次遗传算法来对基于工业以太网的PTCAN进行规划和优化。该算法的关键思想是将配电网络的树形拓扑转换为PTCAN的环形拓扑。提出了一种基于深度优先的遍历遍历的染色体初始化方法,并提出了一种层次规划的方案来简化算法的复杂度。设计并描述了相应的评估和选择功能,交叉和变异方法。最后进行了仿真,结果表明我们的算法是完全可行的,具有收敛速度更快,性能更好的优点。

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