电力系统自动化2011，Vol.35Issue(4)：18-22,76,6.
风速相关性对概率潮流计算的影响分析
Impact of Wind Speed Correlation on Probabilistic Load Flow
摘要
Abstract
Wind speeds at different wind farms with close geographical location have a strong correlation. The impact of wind speed correlation on probabilistic load flow (PLF) is studied by using a hybrid method of auto-regressive and moving average (ARMA) model and time-shifting technique. The factors with different influencing degrees are analyzed. The research focuses on three aspects of influence including probability density distribution of node voltage, wind farm maximum capacity and minimum reactive power compensation in order to meet certain requirements on voltage quality. The research results reveal that it can help to assess the impact of multiple wind farms on network voltage profile more reasonably and select better network planning scheme and operating modes if wind speed correlation is considered.关键词
概率潮流/风速相关性/自回归滑动平均模型/时移技术/风力发电Key words
probabilistic load flow (PLF)/wind speed correlation/auto-regressive and moving average (ARMA) model/time-shifting technique/wind power generation引用本文复制引用
范荣奇,陈金富,段献忠,李慧杰,姚美齐..风速相关性对概率潮流计算的影响分析[J].电力系统自动化,2011,35(4):18-22,76,6.基金项目
国家重点基础研究发展计划(973计划)资助项目(2009CB219701) （973计划）
国家自然科学基金重点项目(50937002) （50937002）
AREVA公司资助项目(CTC-HUST-002). （CTC-HUST-002）
