Reactive Power Control in Distribution System Using Genetic Algorithms

Yingyi Hong, Yi-Feng Luo
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引用次数: 9

Abstract

Reactive power control becomes extremely important after deregulation because costumers request high quality power supply with reasonable price. On the other hand, Distributed Generations (DGs) have attracted increasing attention due to considerations of environmental sustainability. Wind farm is one of the DGs and can provide considerable power generation. This paper presents a method using wind generator voltage, static compensator and transformer tap as controllers to regulate the voltage profile in the distribution system. Through Genetic Algorithms (GAs), the MW loss in the system is minimized and the operational constraints are fulfilled. Two encodings are adopted/compared in the proposed method, namely binary-tabulated code and Gray code. Applicability of the proposed method is verified through simulation using a 17-bus system and an autonomous 24-bus (Penghu) system.
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基于遗传算法的配电系统无功控制
解除管制后,由于用户对高质量、低价格的电力需求,无功控制变得尤为重要。另一方面,由于考虑到环境的可持续性,分布式代(dg)越来越受到关注。风电场是DGs之一,可以提供相当大的发电量。本文提出了一种利用风力发电机电压、静态补偿器和变压器分接器作为控制器来调节配电系统电压分布的方法。通过遗传算法使系统的毫瓦损耗最小化,并满足运行约束。该方法采用了二进位表码和格雷码两种编码方式进行比较。通过17总线系统和自主24总线(澎湖)系统的仿真验证了所提方法的适用性。
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