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基于支持向量机与微分进化算法的风电机优化运行.pdf

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基于支持向量机与微分进化算法的风电机优化运行.pdf

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文档介绍:第 36 卷第 4 期电网技术 Vol. 36 No. 4 2012 年 4 月 Power System Technology Apr. 2012 文章编号: 1000-3673 ( 2012 ) 04-0057-06 中图分类号: TM 614 文献标志码: A 学科代码: 470·40 基于支持向量机和微分进化算法的风电机优化运行彭春华 1 ,相龙阳 1 ,刘刚 1 ,易洪京 2 ( 1 .华东交通大学电气与电子工程学院,江西省南昌市 330013 ; 2 .江西中电投新能源发电有限公司,江西省南昌市 330038 ) Optimal Operation of Wind Turbines Based on Support Vector Machine and Differential Evolution Algorithm PENG Chunhua 1 , XIANG Longyang 1, LIU Gang 1, YI Hongjing 2 (1. School of Electrical and Electronic Engineering, East of China JiaoTong University, Nanchang 330013, Jiangxi Province, China; 2. Jiangxi CPI New Energy Ge nerating Co., Ltd., Nanchang 330038, Jiangxi Province, China) ABSTRACT: Output control of wind turbines is the key item in the operation of wind farm. In view plicated relations among wind turbine output, wind speed and blade pitch angle, it is hard to establish a versat ile and accurate mathematical model. For this reason, a new mode to optimize wind turbine output is proposed: firstly a model for nonlinear fitting between wind turbine output and operati onal parameters is built; then based on the built model and the variation of wind speed and adopting the high-efficient differential evolution algorithm, the blade pitch angle of wind turbine