人民长江2018，Vol.49Issue(7)：77-80,4.DOI:10.16232/j.cnki.1001-4179.2018.07.016
基于风涌浪分离理论的波浪能短期预测
Short-term prediction on marine wave based on theory of wind-wave and swell separation
摘要
Abstract
The prediction of output power of offshore renewable energy is of great significance for the control and operation of marine renewable energy facilities. Due to the strong randomness of wave,the existing time series method is not universal for the short-term prediction of wave. Therefore,aiming at the prediction of wave power generation,a new time series method is pres-ented based on the principle of wave theory, which first identifies and separates the wind-wave and swell and then combines with ARIMA time series method to predict short-time wave. According to the wave data of an offshore renewable energy farm, the effectiveness of the new prediction method is verified. The results show that compared with previous method that only applies time series,the new method can effectively improve the prediction effect with a wider prediction range and better accuracy.关键词
波浪能/短期预测/风涌浪分离/ARIMA时间序列法Key words
wave energy/short-term prediction/separation of wind-wave and swell/ARIMA time series method分类
建筑与水利引用本文复制引用
朱寿建,李慧,吴迪,苏俊玮..基于风涌浪分离理论的波浪能短期预测[J].人民长江,2018,49(7):77-80,4.基金项目
国家自然科学基金重点项目"近海可再生能源综合发电基础研究"(51137002) （51137002）
江苏省自然科学基金重点项目"江苏沿海大规模潮流能发电技术基础研究"(BK2011026) （BK2011026）
