Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity
Su Xunwen1,2, Xu Dianguo2, Yang Rongfeng2, Yue Hongxuan3
1. Institute of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin 150027 China; 2. Institute of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China; 3. Xu Ji Group Corporation Xuchang 461000 China
Abstract：In order to study the effects of environmental factors on maximum power point tracking (MPPT) control of wind turbine, taken power signal feedback algorithm as an example, the mechanism of temperature and humidity affecting PSF algorithm is analyzed based on mathematical relationships of temperature and humidity with air density. Then this paper presents the method for the optimal power curve acquisition, the implementation process and flow chat of PSF algorithm considering temperature and humidity. The influence of loss of wind turbine is considered in this PSF algorithm. The models with doubly fed induction generator wind turbines based PSF algorithm are built on Matlab/Simulink platform. At last, the simulation results and field test in wind farm show that the PSF algorithm considering temperature and humidity can obtain high wind energy conversion efficiency.
苏勋文, 徐殿国, 杨荣峰, 岳红轩. 考虑温度和湿度的风机最大功率跟踪控制[J]. 电工技术学报, 2017, 32(13): 210-218.
Su Xunwen, Xu Dianguo, Yang Rongfeng, Yue Hongxuan. Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity. Transactions of China Electrotechnical Society, 2017, 32(13): 210-218.
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2017, Vol. 32 
