中国电机工程学报2017，Vol.37Issue(6)：1599-1609,11.DOI:10.13334/j.0258-8013.pcsee.160120
大型风电基地风电波动特征分析
Characteristics Analysis of Wind Power Fluctuations for Large-scale Wind Farms
摘要
Abstract
The fine data at 10min and lkm temporal and spatial resolutions,respectively,were used in the weather research and forecasting model assimilating synchronous 10min average wind-speed data from four masts and surrounding weather stations.The fluctuation characteristics of regional wind parameters were analyzed,using the wind capacity factor (CF),wind capacity credit factor (CCF),and wind peak-valley factor (PVF) and compared the differences in these parameters in three sizes of area.The major findings are as follows.1) Increasing the area where the grid interconnection of wind farms yielded a good smoothing effect on the fluctuation characteristics of wind power,which is apparent as decreases in the hourly and monthly variations of CF,CCF,and PVF with increasing area.2) Regional wind power had positive or opposite effects on the peak-load regulation of the receiving-end power grid,with varying effects with time and in different areas.3) CCF involvement in balancing the electrical power load was equal to 9％ and 5％ in the study region with a guaranteed rate of 85％ and 95％,respectively,and 29％ during peak-load hours.These methods and results are valuable for planning of large-scale wind power transmission and relevant policy making.关键词
风电外送/波动特征/风电容量系数/风电可信容量系数/风电峰谷系数Key words
wind power transmission/fluctuation characteristics/wind capacity factor/wind capacity credit factor/wind peak-valley factor分类
信息技术与安全科学引用本文复制引用
黄林宏,宋丽莉,周荣卫,李刚..大型风电基地风电波动特征分析[J].中国电机工程学报,2017,37(6):1599-1609,11.基金项目
科技部科技基础性工作专项项目(2013FY112400) （2013FY112400）
国家电网公司科技项目“极端环境条件下强风区输电线路风荷载特性和铁塔结构研究” （）
江苏省普通高校研究生科研创新计划资助项目(KYLX_0825).China Basic Fund for Special Subject of Supported by the Ministry of Science and Technology (2013FY112400) （KYLX_0825）
Research project of State Grid Corporation of China （）
Scientific Research & Innovation Project for University Students of Jiangsu Province (KYLX_0825). （KYLX_0825）
