A Probabilistic Load Flow Calculation that taking into account the correlation of photovoltaic output
With the rapid development of photovoltaic power generation,the relativity and uncertainty of power system operation are intensified.According to the limitation of the assumption that the PV output obeys the Beta distribution,the cubic spline function to reconstruct the photovoltaic output by finite moments is proposed,and get the photovoltaic output samples that taking into account the correlation apply the improved Nataf Transformation Combined with Latin Hypercube Sampling Technique,reducing the error caused by the strong fluctuation of photovoltaic output by piecewise linearization,combined with Cholesky decomposition to obtain the cumulant of output,Finally,the probability density function of the output variable is obtained by using Cornish-Fisher series.In this paper,the algorithm can not only calculate the correlation between the output power,but also reduce the error caused by single point linearization,greatly shorten the operation time compared with Monte Carlo simulation method(MCSM).The accuracy and practicability of the proposed method are verified by testing the IEEE 34 bus system and Wiring Diagram of a Power Grid in Huining County,Gansu Province.
Probabilistic load flow Cubic spline function Improved Nataf Piecewise linearization cumulant method
Chen Wei Yang Xudong Pei Xiping
College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China
国内会议
南京
英文
102-111
2017-08-12（万方平台首次上网日期，不代表论文的发表时间）