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Three-phase power flow calculation considering probability and interval uncertainties for power distribution systems

机译:考虑配电系统的概率和间隔不确定性的三相电流计算

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摘要

Factors such as the stochastic nature of weather condition and arbitrariness of loads make power flow have both probability and interval properties. In order to solve power flow considering probability and interval uncertainties for power distribution systems, an approximate method, which combines affine linear three-phase power flow and Latin hypercube sampling (LHS) method, is proposed. The formulation of affine node voltage is derived based on affine inverse operation and conservative estimation method. Bound influences of interval variables (BIIVs) of affine node voltage are used to determine the upper bound and lower bound of the result of probabilistic power flow. Further decomposition of BIIVs, which contributes to reduce the conservation of results, is given. The effectiveness of the proposed method is verified using the modified IEEE 13-bus system and IEEE 123-bus system by comparing with LHS-Monte-Carlo simulation method.
机译:诸如载荷的天气状况和荷的随机性的因素,使功率流具有概率和间隔性能。为了解决电力流量考虑配电系统的概率和间隔不确定性,提出了一种结合仿射线性三相电流和拉丁超立体采样(LHS)方法的近似方法。基于仿射逆转操作和保守估计方法导出仿射节点电压的制剂。仿射节点电压的间隔变量(BIIV)的束缚影响用于确定概率功率流量结果的上限和下限。给出了有助于降低结果的BIIV的进一步分解。通过与LHS-Monte-Carlo仿真方法进行比较,通过与LHS-Monte-Carlo仿真方法进行比较来验证所提出的方法的有效性,通过与LHS-Monte-Carlo仿真方法进行比较来验证使用改进的IEEE 13总线系统和IEEE 123-BUS系统。

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