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Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm

机译:使用飞蛾群算法确定径向分布网络中电容器的最佳位置和大小

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In this study, the problem of optimal capacitor location and size determination (OCLSD) in radial distribution networks for reducing losses is unraveled by moth swarm algorithm (MSA). MSA is one of the most powerful meta-heuristic algorithm that is taken from the inspiration of the food source finding behavior of moths. Four study cases of installing different numbers of capacitors in the 15-bus radial distribution test system including two, three, four and five capacitors areemployed to run the applied MSA for an investigation of behavior and assessment of performances. Power loss and the improvement of voltage profile obtained by MSA are compared with those fromother methods. As a result, it can be concluded that MSA can give a good truthful and effective solution method for OCLSD problem.
机译:在该研究中,通过MOTH群算法(MSA)解开了用于减少损耗的径向分布网络中最佳电容器位置和尺寸确定(OCLSD)的问题。 MSA是最强大的元启发式算法之一,从食物源发现行为的灵感中取出。在15柱径向分布试验系统中安装不同数量的电容器的四个研究案例,包括二,三,四个和五个电容器,用于运行所应用的MSA,以调查行为和表演评估。将MSA获得的功率损耗和改善由MSA获得的电压曲线与来自其他方法的方法进行比较。结果,可以得出结论,MSA可以为OCLSD问题提供良好的真实和有效的解决方法。

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