中国电机工程学报2011，Vol.31Issue(2)：119-123,5.
采用模糊推理最优梯度法的风力发电系统最大功率点跟踪研究
Research on Maximum Power Point Tracking of Wind Power Generation System Based on Fuzzy Inference Optimal Gradient
摘要
Abstract
The output power of wind power generation system varies with the random wind, and may lead tracking power to appear oscillation. So it is necessary to track the maximum power point tracking(MPPT) of the wind power generation system all the time. According to the mechanism and traditional three-points comparing algorithm of MPPT, a new power tracking algorithm was proposed to improve the performance under variable conditions via adaptively changing its setting according to the optimal gradient method of fuzzy inference system. Step length is adjusted to times index to effectively improve the maximum power point tracking accuracy, and has the convergence and anti-interference. The simulation results show that proposed algorithm is more accurate than the traditional three-points comparing algorithm.关键词
风力发电系统/模糊推理/最优梯度法/最大功率点跟踪/仿真分类
信息技术与安全科学引用本文复制引用
张秀玲,谭光忠,张少宇,窦春霞..采用模糊推理最优梯度法的风力发电系统最大功率点跟踪研究[J].中国电机工程学报,2011,31(2):119-123,5.基金项目
国家自然科学基金项目(60874023). （60874023）
