基于支持向量机和微分进化算法的风电机优化运行  

Optimal Operation of Wind Turbines Based on Support Vector Machine and Differential Evolution Algorithm

作　　者：彭春华[1] 相龙阳[1] 刘刚[1] 易洪京 

机构地区：[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

出　　处：《电网技术》2012年第4期57-62,共6页Power System Technology

基　　金：国家自然科学基金项目(51167005;60964004);江西省教育厅科技项目(GJJ11114;GJJ12288)~~

摘　　要：风电机出力控制是风电场运行过程中的一个关键问题。针对风电机出力与风速和桨距角之间存在非常复杂的关系,很难建立通用准确的数学模型,提出了一种新的风电机出力优化模式,即首先通过支持向量机算法建立风电机出力与运行参数之间的非线性拟合模型,并基于此模型和风速的变化,采用高效的微分进化算法对风力机桨距角进行快速动态优化,从而实现风电机出力最大化。以鄱阳湖长岭风电场风电机组实际运行数据进行了仿真应用与分析。结果表明通过优化风力机桨距角可有效地提高风电机出力,验证了文中方法的可行性和优越性。采用文中方法可准确建立风速与最优桨距角的动态对应关系,为风电机的优化运行提供了科学的指导。Output control of wind turbines is the key item in the operation of wind farm. In view of complicated relations among wind turbine output, wind speed and blade pitch angle, it is hard to establish a versatile 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 operational 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 is optimized fast and dynamically. Using the proposed method, the dynamic relation between wind speed and optimal blade pitch angle can be established. Simulation results of the proposed method show that the output of wind turbine can be effectively uprated, thus the feasibility of the proposed method is verified.

关 键 词：风电机 支持向量机 微分进化 桨距角 

分 类 号：TM614[电气工程—电力系统及自动化]