微型电脑应用2025，Vol.41Issue(2)：222-225,248,5.
基于风电场数据特征的功率预测与经济运行研究
Research on Power Prediction and Economic Operation Based on Wind Farm Data Characteristics
朱振军1
作者信息
- 1. 五凌电力有限公司,湖南,长沙 410004
- 折叠
摘要
Abstract
Because the wind is uncertain,the volatility of wind power is stronger.For accurate projections of wind power,pow-er prediction system based on data characteristics is established.According to the characteristic of wind data on NWP,wind speed data are modified,the abnormal wind data are filtered and filled by data processing,and the wind turbines are monitored in real time to achieve the economic operation of the wind farm.The power acquisition module of wind farm collects the infor-mation of wind farm dragon line,high voltage side and transformer.It adopts the method of PT secondary loop pressure drop to improve the measurement accuracy.Latin hypercube sampling strategy(LHS)is used to improve the grey wolf optimization algorithm to ensure the stability of sampling process of initial parameters of the population.A power prediction model based on gate recurrent unit is established to predict wind power.The experimental results show that the training time of the wind power prediction model is only 845 s,and the average prediction error is less than 5％,which indicates the maximum prediction accu-racy.关键词
风电场数据特征/功率预测/PT二次回路/灰狼寻优算法/门控循环单元Key words
wind farm data characteristic/power prediction/PT secondary loop/gray wolf optimization algorithm/gate recur-rent unit分类
信息技术与安全科学引用本文复制引用
朱振军..基于风电场数据特征的功率预测与经济运行研究[J].微型电脑应用,2025,41(2):222-225,248,5.
