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Development of a Forward/Backward Power Flow Algorithm in Distribution Systems Based on Probabilistic Technique Using Normal Distribution

机译:基于正态分布概率技术的配电系统前/后潮流算法开发

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There are always some uncertainties in prediction and estimation of distribution systems loads. These uncertainties impose some undesirable impacts and deviations on power flow of the system which may cause reduction in accuracy of the results obtained by system analysis. Thus, probabilistic analysis of distribution system is very important. This paper proposes a probabilistic power flow technique by applying a normal probabilistic distribution in seven standard deviations on forward-backward algorithm. The losses and voltage of IEEE 33-bus test distribution network is investigated by our new algorithm and the results are compared with the conventional algorithm i.e., based on deterministic methods.
机译:配电系统负荷的预测和估计中始终存在一些不确定性。这些不确定性对系统的功率流产生一些不希望的影响和偏差,这可能导致通过系统分析获得的结果的准确性降低。因此,配电系统的概率分析非常重要。本文通过将正态概率分布在七个标准差中应用于正反算法,提出了一种概率潮流算法。我们的新算法研究了IEEE 33总线测试配电网的损耗和电压,并将结果与​​传统算法进行了比较,即基于确定性方法。

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