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The Distribution Network Reconfiguration Improved Performance of Genetic Algorithm Considering Power Losses and Voltage Profile

机译:考虑功率损耗和电压曲线的配电网重构改进遗传算法性能

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Power losses issues persevered over few decades in the high demand utilization of energy electricity in developing countries. Thus, the radial structure of distribution network configuration is extensively used in high populated areas to ensure continuity of power supply in the event of fault. This paper proposes heuristic Genetic Algorithm known as SIGA (Selection Improvement in Genetic Algorithm) in consideration of genetic operator probabilities likewise the progression of switch adjustment in Distribution Network Reconfiguration (DNR) while satisfying the parameters constraints. The SIGA algorithm was embodied throughout the process in IEEE 33-bus distribution system in selection of five tie switches. As a consequence, the power losses were ranked in accordance to the minimum values and voltage profile improvement obtainable by the proposed algorithm. The results show that the SIGA performs better than GA by giving the minimized value of power losses.
机译:几十年来,在发展中国家对能源电力的高需求利用中,电力损耗问题一直存在。因此,配电网络配置的径向结构被广泛用于人口稠密的地区,以确保发生故障时电源的连续性。考虑到遗传算子的概率,同时提出了满足参数约束的配电网重构(DNR)中开关调整的进度,本文提出了一种称为SIGA(遗传算法的选择改进)的启发式遗传算法。在选择33个总线开关的IEEE 33总线分配系统的整个过程中都体现了SIGA算法。结果,根据所提出的算法可获得的最小值和电压分布改善来对功率损耗进行排序。结果表明,通过给出最小的功率损耗值,SIGA的性能优于GA。

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