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Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method

机译:使用Fuzzy-GA方法的径向分布系统中电容器的最佳放置

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The paper presents a genetic algorithm (GA) based fuzzy multi-objective approach for determining the optimum values of fixed and switched shunt capacitors to improve the voltage profile and maximize the net savings in a radial distribution system. The two objectives, i.e. maximization of net savings and minimization of the nodes voltage deviation are first fuzzified and, then, dealt with by integrating them into a fuzzy satisfaction objective function through appropriate weighting factors. The optimization technique of the GA is then adopted to solve the fuzzy multi-objective problem for obtaining the optimum values of shunt capacitors. The effectiveness of the proposed technique is demonstrated through an example.
机译:本文提出了一种基于遗传算法(GA)的模糊多目标方法,用于确定固定和开关并联电容器的最佳值,以改善电压分布并最大程度地增加径向配电系统的净节省额。首先模糊两个目标,即净节省的最大化和节点电压偏差的最小化,然后通过适当的加权因子将它们集成到模糊满意度目标函数中来处理。然后采用遗传算法的优化技术解决模糊多目标问题,以获得并联电容器的最优值。通过示例演示了所提出技术的有效性。

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