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Mesh grid power quality enhancement with synchronous distributed generation: optimal allocation planning using breeder genetic algorithm

机译:同步分布式发电提高网格电网电能质量:使用遗传算法的最优分配计划

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This paper discusses optimal allocation planning of synchronous distributed generation (SDG) on mesh grid power system, using breeder genetic algorithm (BGA) method. This optimization technique was built to allocate SDG units for obtaining the smallest power losses, while all buses voltage awakens in standard value. Furthermore, the proposed method was tested on IEEE 30 bus test system, and the optimal solution was reached for three SDG unit installation on 27.73 MW + J1.502 MVAr total power, with 22.46% powerlosses reduction.
机译:本文讨论了基于网格遗传算法(BGA)的电网分布式同步发电(SDG)的最优分配规划。建立此优化技术的目的是分配SDG单元以获得最小的功率损耗,而所有母线电压均以标准值唤醒。此外,该方法在IEEE 30总线测试系统上进行了测试,并以27.73 MW + J1.502 MVAr总功率安装了三个SDG单元,从而获得了最佳解决方案,降低了22.46%的功率损耗。

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