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首页> 外文期刊>International journal of RF and microwave computer-aided engineering >Optimal location and sizing of MWand MVAR based DG units toimprove voltage stability margin in distribution system using achaotic artificial bee colony algorithm
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Optimal location and sizing of MWand MVAR based DG units toimprove voltage stability margin in distribution system using achaotic artificial bee colony algorithm

机译：基于MWAND MVAR的DG单位的最佳位置和尺寸使用A改善分配系统的电压稳定性裕度混沌人工蜂菌落算法

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摘要

This paper presents an application of the chaotic artificial bee colony (CABC) algorithmto identify the optimal location and sizing of the distributed generation (DG)units in order to improve the voltage stability margin in the radial distributionsystem. Artificial bee colony algorithm is an optimization algorithm based on theintelligent foraging behavior of honey bee swarm. To improve the searching abilityof an artificial bee colony algorithm, chaos theory is united with artificial beecolony, called the CABC algorithm. The various impact indices are used to evaluatethe multi‐objective performance index aimed to identify the optimal location andsizing of combined real and reactive power–based DGs on the distribution systems.The presence of DG in the distribution system has been potential to improve voltagestability of the system. The effect of DG on the weakest bus is analyzed byconstructing the PV curve. The effectiveness of the proposed method is tested on38‐node and 69‐node radial distribution systems.
机译：本文介绍了混沌人工蜂殖民地（CABC）算法的应用确定分布式发电的最佳位置和尺寸（DG）单位为了提高径向分布中的电压稳定性余量系统。人造蜂菌落算法是一种基于的优化算法蜂蜜蜜蜂群的智能觅食行为。提高搜索能力一种人工蜂殖民地算法，混沌理论与人造蜜蜂联合起来殖民地，称为CABC算法。各种影响指数用于评估多目标性能指数旨在识别最佳位置和基于实际和无功基的DGS在分配系统上的尺寸。分配系统中DG的存在一直有可能改善电压系统的稳定性。分析了DG对最弱总线的影响构建PV曲线。测试了所提出的方法的有效性38节点和69节点径向分配系统。

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