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 tornimprove voltage stability margin in distribution system using arnchaotic artificial bee colony algorithm
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Optimal location and sizing of MWand MVAR based DG units tornimprove voltage stability margin in distribution system using arnchaotic artificial bee colony algorithm

机译:基于神经混沌人工蜂群算法的基于MW和MVAR的DG装置的最优位置和尺寸设计,以提高配电系统中的电压稳定裕度

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This paper presents an application of the chaotic artificial bee colony (CABC) algorithmrnto identify the optimal location and sizing of the distributed generation (DG)rnunits in order to improve the voltage stability margin in the radial distributionrnsystem. Artificial bee colony algorithm is an optimization algorithm based on thernintelligent foraging behavior of honey bee swarm. To improve the searching abilityrnof an artificial bee colony algorithm, chaos theory is united with artificial beerncolony, called the CABC algorithm. The various impact indices are used to evaluaternthe multi‐objective performance index aimed to identify the optimal location andrnsizing of combined real and reactive power–based DGs on the distribution systems.rnThe presence of DG in the distribution system has been potential to improve voltagernstability of the system. The effect of DG on the weakest bus is analyzed byrnconstructing the PV curve. The effectiveness of the proposed method is tested onrn38‐node and 69‐node radial distribution systems.
机译:本文提出了一种应用混沌人工蜂群算法(CABC)来确定分布式发电单元(DG)单元的最佳位置和大小,以提高径向配电系统的电压稳定性裕度的方法。人工蜂群算法是一种基于蜂群智能觅食行为的优化算法。为了提高人工蜂群算法的搜索能力,将混沌理论与人工蜂群法相结合,称为CABC算法。各种影响指标用于评估多目标性能指标,旨在确定配电系统中有功和无功组合式DG的最佳位置和大小。DG在配电系统中的存在一直在改善配电系统的电压稳定性。系统。通过构造PV曲线分析了DG对最弱母线的影响。在38节点和69节点的径向分配系统上测试了该方法的有效性。

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