Comparison of Current Probabilistic Power Flow Calculation Based on Cumulated Method

Siyuan Hou, Yipeng Li
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Abstract

The probabilistic load flow distribution of power system is calculated based on Cornish-Fisher expansion, which constructs the immediate relationship between unknown and known variables with the cumulated as a link and takes a deterministic load flow calculation as the starting point to generate the probabilistic load flow distribution function with high accuracy. Simulative results show that, compared with the Monte Carlo simulation sampling method, the proposed method enhances the computational speed significantly while maintains the computational accuracy.
基于累积法的电流概率潮流计算比较
基于Cornish-Fisher展开的电力系统概率潮流分布计算,以累积量为纽带,构建未知变量与已知变量之间的直接关系,以确定性潮流计算为起点,生成高精度的概率潮流分布函数。仿真结果表明,与蒙特卡罗模拟采样方法相比,该方法在保持计算精度的同时,显著提高了计算速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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