Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing

P. Ravibabu, K. Venkatesh, C. Sudheer Kumar
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引用次数: 35

Abstract

Network reconfiguration of an electrical distribution system is an operation to alter the topological structure of distribution system by changing status (open/closed) of sectionalizing and tie switches. By transferring loads from the heavily loaded feeders to the relatively lightly loaded feeders, the network reconfiguration can balance feeder loads and eliminate overload conditions. The system load-balancing index (LBI) is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load balancing. This paper presents a new approach for optimal network reconfiguration of a distribution system using genetic algorithm to determine the optimal network reconfiguration. The switches are taken into consideration for crossover process. After obtaining number of solutions from the combinational analysis, the optimal solution is selected based on the fitness function, i.e., the solution having the minimum index value. The proposed approach is tested on IEEE 16 bus system.
配电网负载均衡优化网络重构的遗传算法实现
配电系统的网络重构是通过改变分闸开关的开/闭状态来改变配电系统拓扑结构的一种操作。通过将负荷从负荷较大的馈线转移到负荷较轻的馈线,网络重构可以平衡馈线负荷,消除过载情况。系统负载均衡指数(LBI)用于确定系统的负载状况和系统的最大负载能力。在负载均衡的最优网络重构中,索引值必须最小。本文提出了一种利用遗传算法确定配电网最优重构的新方法。在交叉过程中考虑了开关。组合分析得到若干个解后,根据适应度函数选择最优解,即指标值最小的解。该方法在IEEE 16总线系统上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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