电力系统及其自动化学报2024，Vol.36Issue(1)：37-45,9.DOI:10.19635/j.cnki.csu-epsa.001260
计及随机变量相关性的多点线性化概率潮流计算
Multi-spot Linearized Probabilistic Power Flow Calculation Considering Correlation Between Random Variables
摘要
Abstract
To accommodate the power flow analysis and calculation requirements for power systems with high uncertain-ties in source and load on both sides with high shares of renewable energy and power electronics,a novel probabilistic power flow calculation method is proposed in this paper.A probability distribution model of random input variables is es-tablished based on kernel density estimation,and the Copula function is constructed to describe the correlation between multi-dimensional random input variables and obtain the sample data,which is more in line with the actual situation of system operation.The multi-spot linearized power flow calculation method is introduced to reduce the amount of nonlin-ear power flow calculations while decreasing truncation errors in single-spot linearized power flow calculation.Finally,the test result of an IEEE 30-bus system verifies the accuracy and effectiveness of the proposed method.关键词
蒙特卡洛模拟/概率潮流/核密度估计/多点线性化/Copula理论/新能源Key words
Monte Carlo simulation/probabilistic power flow/kernel density estimation/multi-spot linearization/Cop-ula theory/renewable energy分类
动力与电气工程引用本文复制引用
叶希,王彦沣,黄杨,廖帮昆,欧阳雪彤,文云峰..计及随机变量相关性的多点线性化概率潮流计算[J].电力系统及其自动化学报,2024,36(1):37-45,9.基金项目
国家自然科学基金资助项目(52077066) （52077066）
国网四川省电力公司科学技术项目(521999220001) （521999220001）
