引用本文:车玉龙,吕晓琴,王晓茹,韩润.含非正态分布概率潮流计算的改进型两点估计法[J].电力自动化设备,2019,39(12):
CHE Yulong,Lü Xiaoqin,WANG Xiaoru,HAN Run.Improved two point estimation method for probabilistic power flow calculation with non-normal distribution[J].Electric Power Automation Equipment,2019,39(12):
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含非正态分布概率潮流计算的改进型两点估计法
车玉龙1,2, 吕晓琴2, 王晓茹2, 韩润3
1.兰州交通大学 自动化与电气工程学院,甘肃 兰州 730070;2.西南交通大学 电气工程学院,四川 成都 611756;3.国网银川供电公司,宁夏 银川 750004
摘要:
采用两点估计法进行考虑不确定性电力系统的概率潮流计算时容易产生较大的误差。提出一种可用于计算含服从非正态分布负荷的概率潮流问题的改进型两点估计法。该方法通过增加均一概率的估计点进行额外计算,不需要进行正态变换和估计高阶矩,其计算精度高于两点估计法。采用含服从非正态分布负荷的5节点系统和IEEE 14节点系统作为算例,与蒙特卡洛仿真的结果比较验证了提出的改进型两点估计法的准确性。
关键词:  概率潮流  蒙特卡洛仿真  点估计法  非正态分布
DOI:10.16081/j.epae.201912010
分类号:TM711
基金项目:兰州交通大学青年基金资助项目(2016022);甘肃省高等学校创新能力提升项目(2019B-049)
Improved two point estimation method for probabilistic power flow calculation with non-normal distribution
CHE Yulong1,2, Lü Xiaoqin2, WANG Xiaoru2, HAN Run3
1.School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;2.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China;3.State Grid Yinchuan Power Supply Company, Yinchuan 750004, China
Abstract:
Large error is easily generated when the two point estimation method is applied to calculate the probabilistic power flow of power system considering uncertainties. An I2PEM(Improved Two Point Estimation Method) is proposed, which can be used to calculate the probabilistic power flow problem with loads subjected to non-normal distribution. The method performs additional calculation by adding the estimation points with uniform probability, without the need of normal transformation and estimation of higher-order moments, and its calculation accuracy is higher than that of the two point estimation method. Taking 5-bus system and IEEE 14-bus system with non-normal distributed loads as examples, the accuracy of the proposed method is verified by comparing with the results of Monte Carlo simulation.
Key words:  probabilistic power flow  Monte Carlo simulation  point estimation method  non-normal distribution

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