论文标题
用Hatsga算法评估智能电网中电力网络重新配置的功率损失
On Evaluating Power Loss with HATSGA Algorithm for Power Network Reconfiguration in the Smart Grid
论文作者
论文摘要
本文以“ R”建模方法介绍了Power网络重新配置算法Hatsga，并评估了其在智能电网上下文中为电力网络计算新的重新配置拓扑时的行为。使用语言“ R”的功率分配网络的建模用于表示网络并支持对新重新配置拓扑评估的不同算法配置的计算。 Hatsga算法采用了混合禁忌搜索和遗传算法策略，可以通过不同的方式进行配置以计算网络重新配置解决方案。 Hatsga对功率损失的评估使用IEEE 14-BUS拓扑作为电源测试方案。用Hatsga对最低功率损失的重新配置拓扑的评估表明，可以在可行的计算时间内达到有效的解决方案。这表明Hatsga可以可能用于计算重新配置网络拓扑，除此之外，它可用于需要可行的计算时间的自主性自我修复管理方法。
This paper presents the power network reconfiguration algorithm HATSGA with a "R" modeling approach and evaluates its behavior in computing new reconfiguration topologies for the power network in the Smart Grid context. The modeling of the power distribution network with the language "R" is used to represent the network and support the computation of distinct algorithm configurations towards the evaluation of new reconfiguration topologies. The HATSGA algorithm adopts a hybrid Tabu Search and Genetic Algorithm strategy and can be configured in different ways to compute network reconfiguration solutions. The evaluation of power loss with HATSGA uses the IEEE 14-Bus topology as the power test scenario. The evaluation of reconfiguration topologies with minimum power loss with HATSGA indicates that an efficient solution can be reached with a feasible computational time. This suggests that HATSGA can be potentially used for computing reconfiguration network topologies and, beyond that, it can be used for autonomic self-healing management approaches where a feasible computational time is required.
