电力系统保护与控制2016，Vol.44Issue(13)：96-103,8.DOI:10.7667/PSPC151355
基于改进混合抽样与最小切负荷计算的电力系统可靠性评估方法
Reliability evaluation based on modified mixed sampling and minimum load-cutting method
摘要
Abstract
As its sampling frequency is independent of the scale of the system and non-linear performance, Monte-Carlo simulation is widely applied to reliability evaluation ofacomplex large transmission system because of its accurate result. However, it takes a relatively long period of time to obtain a higher accurate reliability index. In order to solve this problem, the combination ofimportance sampling method anddiscrete Latin hypercube sampling method is able to reduce the variance of the sample space and uniformly sample it simultaneously, which improves the convergence of Monte-Carlo simulation. This paper points out that, the combination of sensitivity analysis and linear programming in the process of overload correction is able to guarantee the solution optimality as well as improve the solving speed. Finally, the algorithm is presented for IEEE RTS79, IEEE RTS96 and a certain system to obtain the reliability index, the result proves its practicability.关键词
改进离散拉丁超立方抽样/最小切负荷计算/电力系统/可靠性评估/蒙特卡罗模拟/灵敏度分析Key words
modified Latinhypercube sampling/minimum load-cutting method/power system/reliability evaluation/Monte-Carlo simulation/sensitivity analysis引用本文复制引用
孙腾飞,程浩忠,张立波,周勤勇,贺海磊,曾平良..基于改进混合抽样与最小切负荷计算的电力系统可靠性评估方法[J].电力系统保护与控制,2016,44(13):96-103,8.基金项目
国家自然科学基金重点项目(51337005)；国家电网公司基础性前瞻性项目(XT71-14-002) （51337005）
