中国电机工程学报2017，Vol.37Issue(16)：4671-4679,9.DOI:10.13334/j.0258-8013.pcsee.160643
一种含风电场的发电系统可靠性解析计算方法
An Analytical Method for Reliability Evaluation of Generation System With Wind Farm
摘要
Abstract
On the basis of Markov chain,this paper presented an analytical method for reliability evaluation of generation systems with wind farm.In this method,the concept of state probability and incremental frequency for available capacity which had been used on generator units or loads was applied to wind farm considering the stochastic characteristics of wind speed and the effect of wind turbine outage.The probability-frequency distribution functions for available capacity of conventional generator,load and wind farm were constructed respectively.Through the proposed method,the reliability index including the probability,frequency and duration index of generation systems with wind farm can be acquired by convolution and addition operation of the probability-frequency distribution functions,to simplify the reliability evaluation.Moreover,this paper also presented an optimization method for the clustering number of random state to improve the accuracy of Markov model of multi-state time series random variables.Finally,an example of modified IEEE-RTS79 test system testified the validity of this proposed method and corresponding results showed that the reliability of the generation system with wind farm can be evaluated efficiently and accurately through the proposed method.关键词
发电系统/风电场/可靠性/解析计算/可用容量概率分布/可用容量频率分布Key words
generation system/wind farm/reliability/analytical method/probability distribution for available capacity/frequency distribution for available capacity分类
信息技术与安全科学引用本文复制引用
祝锦舟,张焰,杨增辉,苏运..一种含风电场的发电系统可靠性解析计算方法[J].中国电机工程学报,2017,37(16):4671-4679,9.基金项目
国家863高技术研究发展计划项目(2015AA050203) （2015AA050203）
国家电网公司科技项目(520900150037).The National High Technology Research and Development of China 863 Program (2015AA050203) （520900150037）
Project Supported by State Grid Corporation of China Research Program (520900150037). （520900150037）
