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A new adaptive modified Firefly Algorithm to solve optimal capacitor placement problem

机译:一种新的自适应改进萤火虫算法,用于解决最佳电容器放置问题

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In this paper, a novel adaptive optimization method based on Firefly Algorithm (FA) is proposed to handle the optimal capacitor placement problem suitably. The proposed method is based on the social behavior of firefly insects and their shining phenomenon. A sufficient two phase modification technique is proposed to improve the total search ability of the algorithm effectively. The objective function to be investigated is the total annually cost including the cost of power losses as well as the capacitor placement cost simultaneously. During the optimization process, several equality and inequality constraints should be met when the discrete nature of the capacitor placement problem should be satisfied too. The superiority and effectiveness of the proposed method is examined on the 9-bus and 34-bus standard distribution test systems.
机译:本文提出了一种基于萤火虫算法(FA)的自适应优化方法,以适当地解决电容器的最优放置问题。该方法基于萤火虫昆虫的社会行为及其发光现象。为了有效地提高算法的总搜索能力,提出了一种足够的两阶段修改技术。要研究的目标函数是每年的总成本,其中包括功率损耗成本以及同时的电容器放置成本。在优化过程中,当也应满足电容器放置问题的离散性质时,应满足几个相等和不相等的约束。在9总线和34总线标准配电测试系统上检查了该方法的优越性和有效性。

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