Genetic Algorithm-based Optimal Placement of STATCOM in Pre-islanding and Post-islanding Condition

Dhruba Kumar, P. Bhowmik
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引用次数: 3

Abstract

Allocation of Var compensator is important for improving voltage profile, transmission flexibility, line stability, etc. as well as reducing transmission loss. In this paper, an IEEE 15 bus system is chosen to test genetic algorithm-based optimization technique to find out optimum location and size of the Var compensator. The optimization technique is applied again in steady-state after putting through the test system into islanding situation. Unlike the other genetic algorithm-based optimization technique published in established literature, the proposed technique does not allow two king chromosomes (having highest fitness values) for mating with the other chromosomes. The decrease in transmission loss and improvement in stability index are testified. Finally, the voltage profiles are validated from phasor measurements.
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基于遗传算法的孤岛前和孤岛后STATCOM优化配置
无功补偿器的配置对于改善电压分布、提高输电灵活性、提高线路稳定性等,降低输电损耗具有重要意义。本文选择ieee15总线系统,对基于遗传算法的无功补偿器优化技术进行了测试,以确定无功补偿器的最佳位置和尺寸。将试验系统置于孤岛状态后,在稳态状态下再次应用优化技术。与现有文献中发表的其他基于遗传算法的优化技术不同,所提出的技术不允许两条王染色体(具有最高适应度值)与其他染色体交配。结果表明,该方法降低了传输损耗,提高了稳定性指标。最后,通过相量测量验证了电压分布。
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