基于支持向量机的风电短期功率的研究及应用  

Research and Application of Wind Short Term Power Based on Support Vector Machine Algorithm

作　　者：杜海舟[1] 杨晨[1] 毛俊隽[2] 

机构地区：[1]上海电力学院计算机科学与技术学院,上海200090 [2]丹江口水力发电厂机修部,湖北丹江口442700

出　　处：《上海电力学院学报》2013年第6期532-535,共4页Journal of Shanghai University of Electric Power

摘　　要：以风电场功率数据为基础,介绍了支持向量机理论的新应用,讨论了支持向量机算法用于风电场功率数据的具体过程,建立了基于支持向量机的风电场功率数据处理模型.该模型能对风电场功率数据进行有效的分析和处理,能为风电并网的规划、调度、运行和控制提供及时、有效的信息.Based on data from wind farms, new applications of support vector machine theory is introduced, support vector machine theory wind data for the specific process is discussed. A model wind farm data processing based on support vector machine is established, which can be carried on the wind farm data simple. The model will be effective in the analysis and processing, and network operation of the wind power planning, scheduling, operation and control to provide timely and effective information.

关 键 词：短期功率 数据挖掘 支持向量机 

分 类 号：TM614[电气工程—电力系统及自动化]