An Improved Variable Step Hill-Climbing Searching Algorithm for Tracking Maximum Power Point of Wind Power System
This paper proposes a novel algorithm to improve the traditional variable step hill-climbing searching (VHCS) algorithm of maximum power point tracking (MPPT). First, by using the feed forward module, the searching direction is decided by wind speed, output power and generator rotational speed. Then, a feed forward value is calculated according to the changing rate of wind speed. The feed forward value is used for correcting the length of the searching step after wind speed changed, which can shorten the searching time and effectively accelerate the searching speed by using the information of wind speed. Besides, its noted that the IVHCS can decrease the influences of the inaccurate measure of wind speed, because it uses the value of the difference of wind speed between two adjacent sample while no the wind speed itself. At last, a maximum power point tracking control system of 2MW capacity doubly-fed induction generator (DFIG) wind-turbine is modeled to verify the proposed algorithm. Three cases of wind speed are set for testing, including step wind, periodic slope wind, and random wind. The results show that the IVHCS has better performances on both tracking accuracy and speed than VHCS, which makes the system more adaptive to the rapid change of wind.
Double-fed induction generator feed forward control hill climbing searching maximum power point tracking wind power system
Fei Lan Li Tao Jinghua Li Zhiyang Yao
Guangxi Key Laboratory of Power System Optimization and Energy Technology (Guangxi University),Nanning 530004,Guangxi Zhuang Autonomous Region,China
国际会议
西安
英文
1-6
2016-09-01（万方平台首次上网日期，不代表论文的发表时间）