现代电子技术2026，Vol.49Issue(3)：180-186,7.DOI:10.16652/j.issn.1004-373x.2026.03.027
基于风速估算和改进复合算法的风机MPPT控制
Wind turbine MPPT control based on wind speed estimation and improved hybrid algorithm
摘要
Abstract
A maximum power point tracking(MPPT)algorithm for wind turbines is proposed for wind speed estimation.The wind speed estimation is based on a backpropagation(BP)neural network.The proposed algorithm is to reduce the dependence on wind speed measurement devices and enhance the power generation efficiency of wind power systems.In order to overcome the drawback that the initial weights and thresholds of the traditional BP neural networks are assigned randomly,an improved parrot optimization algorithm(POA)is employed to optimize the BP neural network,thereby improving the accuracy of wind speed estimation.Subsequently,a hybrid MPPT algorithm combining the tip speed ratio(TSR)method and the hill-climbing search(HCS)method is adopted to ensure both rapid response and stability of the MPPT.Since an inappropriate setting of TSR may lead to tracking failure,an adaptive TSR mechanism is introduced into the algorithm.The experimental results indicate that the wind turbine can stably and accurately track the maximum power point and reduce power fluctuations even without prior knowledge of the precise optimal TSR,which verifies the effectiveness and stability of this method for maximum power tracking.关键词
最大功率跟踪/改进鹦鹉优化算法/复合算法/风速估算/风力发电/自适应叶尖速比法Key words
MPPT/improved POA/hybrid algorithm/wind speed estimation/wind power generation/adaptive TSR method分类
信息技术与安全科学引用本文复制引用
官显夷,陈燕,孙海涛,温蕊菡..基于风速估算和改进复合算法的风机MPPT控制[J].现代电子技术,2026,49(3):180-186,7.基金项目
山西省科技厅基础研究计划面上项目(202403021221052) （202403021221052）
山西省科技战略研究专项(202304031401049) （202304031401049）
中国国家留学基金委员会项目(202206935019) （202206935019）
山西省省筹资金资助回国留学人员科研项目(2022-065) （2022-065）
