无刷双馈独立发电系统的改进无参数预测电流控制  

Improved Nonparametric Predictive Current Control for Standalone Brushless Doubly-Fed Induction Generators

作　　者：徐伟[1] 陈俊杰[1] 刘毅[1] 黄守道[2] 高剑[2] 黄诚 Xu Wei;Chen Junjie;Liu Yi;Huang Shoudao;Gao Jian;Huang Cheng(State Key Laboratory of Advanced Electromagnetic Engineering and TechnologyHuazhong University of Science and Technology,Wuhan 430074 China;College of Electrical and Information Engineering Hunan University,Changsha 410082 China;Hubei Huanyee Electromagnetic Equipment Engineering Technology Co.Ltd,Wuhan 430205 China)

机构地区：[1]强电磁工程与新技术国家重点实验室(华中科技大学),武汉430074 [2]湖南大学电气与信息工程学院,长沙410082 [3]湖北环一电磁装备工程技术有限公司,武汉430205

出　　处：《电工技术学报》2021年第19期4002-4015,共14页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金面上项目(51877093);山东省自然科学基金优秀青年基金项目(ZR2020YQ40);国家重点研发计划项目(2018YFE0100200);湖北省技术创新专项重大项目(2019AAA026)资助。

摘　　要：无刷双馈感应发电机是一种新型交流感应电机,可用于并网发电和独立发电。模型预测电流控制以其概念直观和动态响应快的特点而备受关注。然而,由于其对模型参数的严重依赖,模型预测电流控制在无刷双馈感应发电机中的实际应用并不理想。为了克服这一问题,该文提出一种应用于独立无刷双馈发电系统的改进无参数预测电流控制方法,该方法用检测的电机状态信息替代系统参数来预测电流变化。仿真和实验表明该方法不仅保持了传统模型预测电流控制的快动态响应性能,同时又不受电机参数变化的影响,具有较强的鲁棒性。As a new type of AC induction machine,the brushless doubly fed induction generator(BDFIG)can be used for grid-connected and standalone power generation.Model predictive current control(PMCC)has attracted much attention due to its intuitive concept and fast dynamic response.However,due to its heavy dependence on the model parameters,the practical application of MPCC in the BDFIG is not satisfactory.In order to overcome this problem,this paper proposes an improved nonparametric predictive current control(NPCC)method,which uses the detected machine information instead of system parameters to predict the current change.Simulation and experimental results show that this method not only keeps the fast dynamic response performance of MPCC,but also is not affected by the change of machine parameters,which means that it is with strong robustness.

关 键 词：无刷双馈感应发电机 无参数预测电流控制 独立发电 参数鲁棒性 

分 类 号：TM346[电气工程—电机]