基于思维进化算法的风电功率预测研究  

Wind Power Prediction Research Based on Mind Evolutionary Algorithm

作　　者：俞俊 王召 籍天明 裘炜浩[2] 裴旭斌[2] 胡楠[3] 

机构地区：[1]南京南瑞集团公司信息系统集成分公司 [2]国网浙江省电力公司信息通信分公司 [3]国网辽宁省电力有限公司信息通信分公司

出　　处：《计算技术与自动化》2017年第2期95-99,共5页Computing Technology and Automation

摘　　要：风电作为可再生能源,具有波动性、间歇性和随机性的特点,容易造成电力系统的不稳定。通过对风电功率进行预测,不仅可以保证电能质量,而且可以降低电力系统运行成本。传统的几种风电功率预测技术均存在一定的局限性。针对上述问题,提出一种基于思维进化算法的风电功率预测方法,并构建了预测模型。结合风电场风电实测数据进行仿真分析,结果表明所提出的方法可以有效可靠地进行风电功率预测,具有良好的工程应用前景。Due to the characteristics of volatility, intermittent and randomness of wind power, interconnection with the power grid will bring about impact on the stability of power system. The wind power prediction can not only ensure the quality of electric energy, but also reduce the cost o~ power system operation. There were some limitations in several traditional wind power prediction methods. According to the above problem, the wind power prediction method based on Mind Evolutionary Algorithm （MEA） is put forward and the prediction model is provided. The experimental results show that the proposed approach can be effective and reliable for the wind broad prospect of engineering application. power prediction. The Mind Evolutionary Algorithm method has a

关 键 词：思维进化算法 风电功率 预测模型 

分 类 号：TK81[动力工程及工程热物理—流体机械及工程]