摘要
为研究环境因素对风机最大功率点跟踪(MPPT)的功率信号反馈算法(PSF)的影响,首先根据温度和湿度与空气密度的数学关系,分析温度和湿度影响PSF算法的机理。然后提出考虑温度和湿度的最优功率曲线获取方法,给出计及温度和湿度的PSF算法实施过程和具体流程,该方法考虑了风机损耗对PSF算法的影响。最后在Matlab/Simulink分析平台上,搭建基于功率信号反馈算法的双馈机组模型,仿真分析和风电场现场测试验证了考虑温度和湿度的PSF算法能够获得较高的风能转换效率。
In order to study the effects of environmental factors on maximum power pointtracking(MPPT)control of wind turbine,taken power signal feedback algorithm as an example,themechanism of temperature and humidity affecting PSF algorithm is analyzed based on mathematicalrelationships of temperature and humidity with air density.Then this paper presents the method for theoptimal power curve acquisition,the implementation process and flow chat of PSF algorithmconsidering temperature and humidity.The influence of loss of wind turbine is considered in this PSFalgorithm.The models with doubly fed induction generator wind turbines based PSF algorithm are builton Matlab/Simulink platform.At last,the simulation results and field test in wind farm show that thePSF algorithm considering temperature and humidity can obtain high wind energy conversion efficiency.
作者
苏勋文
徐殿国
杨荣峰
岳红轩
Su Xunwen;Xu Dianguo;Yang Rongfeng;Yue Hongxuan(Institute of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin 150027 China;Institute of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China;Xu Ji Group Corporation Xuchang 461000 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2017年第13期210-218,共9页
Transactions of China Electrotechnical Society
基金
国家电网公司科技项目资助(SGSDDK00KJJS1500155)
国家自然科学基金重点项目(51237002)
国家自然科学基金(51677057)
哈尔滨市科技创新人才研究专项资金(青年后备)项目(RC2015QN007019)
博士后研究人员落户黑龙江科研启动项目(LBH-Q15125)资助
关键词
温度
湿度
功率信号反馈算法
风电机组
最优功率曲线
Temperature, humidity, power signal feedback algorithm, wind turbine, maximum power curve
