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Impact of Photovoltaic Systems Placement, Sizing on Power Quality in Distribution Network

机译:光伏系统布局,规模对配电网电能质量的影响

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The paper presents a Decision Tree Algorithm for impact of photovoltaic systems placement and sizing in order to improve power quality in distribution networks. The proposed approach is based primarily on ID3 and J48 Decision Tree Algorithms. With these algorithms, for different sizes of photovoltaic systems, can be defined the optimal location as well as minimal power losses of the distribution network. The simulations were carried out with real data obtained from the Kosovo Distribution Network and visualized with WEKA Toolbox. The obtained results compared with Genetic Algorithm MATLAB toolbox and DIGSILENT/Power factory software, prove that the Decision Tree Algorithm works well with an excellent and fast accuracy. The results from the application of the proposed method showed reduced power losses and optimal location in the distribution network confirmed method's validity. This approach can be used by engineers, electric utilities and distribution network operators for a quick decision with more efficient integration of new photovoltaic systems in the current distribution networks.
机译:本文提出了一种决策树算法,以影响光伏系统的布置和规模,以提高配电网络的电能质量。所提出的方法主要基于ID3和J48决策树算法。利用这些算法,可以为不同尺寸的光伏系统定义最佳位置以及配电网络的最小功率损耗。模拟是使用从科索沃分销网络获得的真实数据进行的,并使用WEKA Toolbox进行可视化。将所得结果与遗传算法MATLAB工具箱和DIGSILENT / Power工厂软件进行比较,证明了决策树算法具有良好的工作效率,且精度很高。所提方法的应用结果表明,降低了功率损耗,并且在配电网中的最佳位置证实了该方法的有效性。工程师,电力公司和配电网络运营商可以使用此方法来快速决策,并在当前配电网络中更有效地集成新的光伏系统。

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