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低功率双馈风力发电系统MPPT控制及仿真 被引量:1

The MPPT Control and Simulation of Low-Power Double-Fed Wind Power Generation System
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摘要 针对风力发电系统在额定风速以下运行时的最大风能跟踪问题,分别采用经典爬山搜索法和改进极值搜索法进行风电系统的最大风能跟踪控制。经典爬山搜索法通过判断输出功率和风力机转速的梯度值来搜索最佳运行点,而改进极值搜索法通过叶尖速比和风能利用系数经傅里叶变换获取的运行点相位信息来进行搜索,并通过改进积分器实现变步长快速追踪稳定运行的控制目标。通过Matlab/Simulink软件建立了低功率双馈风力发电系统最大风能跟踪控制仿真模型,并对两种控制方法进行了对比分析。仿真结果表明:改进极值搜索控制能够使系统快速地跟踪风速变化,保持最佳叶尖速比,提高了风能利用系数和风能的利用效率。 Aiming at the maximum power point tracking problem of doubly-fed wind power generation system under rated wind speed, the classic mountain climbing searching method and improved extremum seeking method are employed to MPPT control of the wind power system. The classic mountain climbing searching method searches for the optimal operating point by detecting the gradient values of the output power and the fan speed, whereas the improved extremum seeking method searches for the operating point phase information obtained by the Fourier transform by detecting the tip speed ratio and the wind energy utilization coefficient,,and implement variable step to quickly track and keep stable by improving the integrator.The simulation model of maximum wind energy tracking control of low power doubly-fed wind power generation system was established by Matlab/Simulink software, followed by comparison of the two methods. The simulation results show that improvements of extreme value search control can lead to rapid trace of the variation and maintenance of the optimal tip speed ratio, effectively enhancing the power coefficient and the utilization efficiency of wind energy.
作者 张瑞成 何丹阳 ZHANG Rui-cheng;HE Dan-yang(College of Electrical Engineering, North China University of Science and Technology, Hebei Tangshan 063210, China)
出处 《机械设计与制造》 北大核心 2019年第A01期114-117,122,共5页 Machinery Design & Manufacture
基金 河北省自然科学基金资助项目(F2018209201)
关键词 双馈风力发电系统 最大风能跟踪 爬山搜索 改进极值搜索 风能利用效率 Doubly-fed Wind Power Generation System Maximum Power Point Tracking Mountain Climbing Searching Improved Extremum Seeking Method Power Coefficient
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