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A novel correlated intervals-based algorithm for distribution power flow calculation

机译:一种新的基于相关区间的配电网潮流计算算法

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This paper proposes a novel correlated intervals-based algorithm for calculation of distribution power flows. The non-conservative interval operations are proposed. It takes into account the uncertainties of renewable resource-based generations (wind generators, solar panels and other) and distribution network loads. Their correlations are calculated from historically recorded patterns of input variables and directly integrated into the adopted forward-backward distribution power flow algorithm. The proposed algorithm is tested on two distribution network test examples: (1) 6-bus with the aim of detailed illustration of some algorithmic steps, and (2) 1003-bus for verification of global performances of the proposed algorithm. Obtained results are verified by Monte Carlo sampling and power flow calculations. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的基于相关区间的算法来计算配电潮流。提出了非保守区间操作。它考虑了基于可再生资源的发电(风力发电机,太阳能电池板等)和配电网络负荷的不确定性。它们的相关性是从输入变量的历史记录模式中计算出来的,并直接集成到采用的向前-向后分配潮流算法中。所提出的算法在两个配电网测试示例上进行了测试:(1)6总线,目的是详细说明一些算法步骤;(2)1003总线,用于验证所提出算法的整体性能。获得的结果通过蒙特卡洛采样和潮流计算得到验证。 (C)2017 Elsevier Ltd.保留所有权利。

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