海洋预报2025，Vol.42Issue(5)：73-85,13.DOI:10.11737/j.issn.1003-0239.2025.05.008
江苏海上风电场风况特征及对发电量的影响研究
Study on the characteristics of wind conditions and its influence on power generation capacity in Jiangsu offshore wind farms
摘要
Abstract
Utilizing automatic meteorological observations collected at the Jiangsu offshore wind farm booster stations,a statistical analysis is conducted on the wind condition characteristics and the impact of primary weather types on power generation.The results reveal that the annual mean wind speed during the observation period is 3.8 m/s,the highest annual mean wind speed is 4.8 m/s recorded at the China General Nuclear booster station.Moreover,the annual mean wind speed increases from north to south in the wind farms.Concerning the daily variation characteristics of strong winds with a magnitude of 6 and above,the occurrence frequency peaks between 00:00-05:00,in contrast to the low frequency from afternoon until midnight.Strong winds are observed in all months at different stations,but without significant seasonal variation observed.Notably,the prevailing wind directions with the top frequencies of strong winds exceeding magnitude 8 are the south-southeast and north-northeast,which are mainly observed from August to the next January,likely caused by typhoons and cold air masses.Three primary weather types affect the power generation of Jiangsu offshore wind farms:tropical cyclones,Jianghuai cyclones,and cold air systems.The cold air systems are the most prevalent in Jiangsu offshore wind farms and exert the most significant influence on power generation.Although tropical cyclones occur with low frequency,they have the most significant impact on power generation and pose the strongest influence on the power grid.关键词
海上风电场/风况特征/天气类型/发电量Key words
offshore wind farm/characteristics of wind conditions/weather type/power generation capacity分类
海洋学引用本文复制引用
王博妮,王锋,葛行成,桑小卓,张敏,周桂明..江苏海上风电场风况特征及对发电量的影响研究[J].海洋预报,2025,42(5):73-85,13.基金项目
中国气象局科技项目"揭榜挂帅"项目(CMAJBGS202315) （CMAJBGS202315）
江苏海洋气象开放研究基金(HYQX2022) （HYQX2022）
中国气象局公共气象服务中心创新基金项目(M202415) （M202415）
江苏省气象局科研项目(KM2024503). （KM2024503）
