可再生能源预测技术在电力系统中的实时应用  

Real-Time Application of Renewable Energy Forecasting in Power Systems

作　　者：纪艳菊 张玉 李翠 Ji Yanju;Zhang Yu;Li Cui(Beijing Hualian Power Engineering Consulting Co.,Ltd.,Beijing 100071,China)

机构地区：[1]北京华联电力工程咨询有限公司,北京100071

出　　处：《现代工业经济和信息化》2023年第12期143-145,149,共4页Modern Industrial Economy and Informationization

摘　　要：本实验采用实际数据集对可再生能源预测在电力系统中的实时应用进行了评估。实验结果表明,基于支持向量回归的算法能够较为准确地预测风电和太阳能的出力,预测结果的RMSE和MAE均保持在较低水平。可再生能源预测可以帮助电力系统更好地应对可再生能源的不稳定性和间歇性,从而提高电力系统的稳定性、安全性和经济性。在电力系统应用方面,可再生能源预测可以与其他控制策略相结合,实现电力系统的优化运行。This experiment evaluates the real-time application of renewable energy forecasting in power systems using real data sets.The experimental results show that the algorithm based on support vector regression can predict the wind and solar power output more accurately,and the RMSE and MAE of the prediction results are kept at a low level.Renewable energy prediction can help the power system better cope with the instability and intermittency of renewable energy,thus improving the stability,security and economy of the power system.In terms of power system application,renewable energy prediction can be combined with other control strategies to achieve optimal power system operation.

关 键 词：可再生能源预测 电力系统 支持向量回归 稳定性 

分 类 号：TM73[电气工程—电力系统及自动化]