This paper presents a methodology for the optimal placement and sizing of reactive power compensation devices in a distribution system (DS) with distributed generation. Quasi-static time series is embedded in an optimization method based on a genetic algorithm to adequately represent the uncertainty introduced by solar photovoltaic generation and electricity demand and its effect on DS operation. From the analysis of a typical DS, the reactive power compensation rating power results in an increment of 24.9% when compared to the classical genetic algorithm model. However, the incorporation of quasi-static time series analysis entails an increase of 26.8% on the computational time required.

中文翻译：

---

在遗传算法中嵌入准静态时间序列以进行随机优化：配电系统无功补偿的情况

本文提出了一种在具有分布式发电的配电系统（DS）中无功功率补偿装置的最佳放置和尺寸确定方法。在基于遗传算法的优化方法中嵌入了准静态时间序列，以充分表示太阳能光伏发电和电力需求带来的不确定性及其对DS运行的影响。通过对典型DS的分析，与经典遗传算法模型相比，无功补偿额定功率增加了24.9％。但是，准静态时间序列分析的引入使所需的计算时间增加了26.8％。