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Selection of optimal location and rated power of capacitor banks in distribution network using genetic algorithm

机译:遗传算法选择配电网电容器组的最佳位置和额定功率

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In this paper, the problem of placement and rated power of capacitor banks in the Distribution Network (DN) is considered. We try to suggest the best places for installing capacitor banks and define their reactive power. The considered formulation requires the optimization of the cost of two different objectives. Therefore the use of properly multiobjective heuristic optimization methods is desirable. To solve this problem we use a heuristic method such as Genetic Algorithm. The first goal is to achieve a voltage level in every nodes of the power network on required level. The second goal is to limit the cost connected with buying and installing capacitors. Finally, numerical results on a distribution system demonstrate that the proposed formulation and approach are effective and feasible for finding an optimal placement of capacitor banks.
机译:本文考虑了配电网中电容器组的放置和额定功率问题。我们尝试建议安装电容器组的最佳位置,并定义其无功功率。所考虑的公式要求优化两个不同目标的成本。因此,期望使用适当的多目标启发式优化方法。为了解决这个问题,我们使用了一种启发式方法,例如遗传算法。第一个目标是使电力网络中每个节点的电压水平达到要求的水平。第二个目标是限制与购买和安装电容器有关的成本。最后,在配电系统上的数值结果表明,所提出的公式和方法对于寻找电容器组的最佳放置是有效和可行的。

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