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可模拟绕组内部故障的双馈风力发电半实物实时仿真平台
引用本文:魏书荣,王健,张路,高瑾,黄苏融. 可模拟绕组内部故障的双馈风力发电半实物实时仿真平台[J]. 电机与控制应用, 2017, 44(5): 102-107
作者姓名:魏书荣  王健  张路  高瑾  黄苏融
作者单位:上海电力学院 电气工程学院,上海200090,上海电力学院 电气工程学院,上海200090,上海电力学院 电气工程学院,上海200090,上海大学 机电工程与自动化学院,上海200072,上海大学 机电工程与自动化学院,上海200072
摘    要:双馈风力发电机(DFIG)系统控制复杂,离线仿真与传统全实物的故障试验存在一定局限性。在控制功能强大的MATLAB/Simulink环境下构建基于d SPACE1007系统的双馈风力发电系统半实物实时仿真平台,解决可模拟绕组内部故障的实物电机、d SPACE与Simulink软件三方联调时的数据接口与控制问题。试验结果表明,该平台在DFIG定、转子匝间短路故障工况下,通过Control Desk界面可灵活改变控制参数及算法,实现电机绕组内部故障状态下的容错运行,为DFIG故障检测和容错控制研究提供硬件平台。

关 键 词:双馈风力发电机   绕组内部故障   半实物实时仿真

SemiSubstantial RealTime Simulation Platform of Doubly Fed Wind Generation to Simulate Winding Internal Fault
WEI Shurong,WANG Jian,ZHANG Lu,GAO Jin and HUANG Surong. SemiSubstantial RealTime Simulation Platform of Doubly Fed Wind Generation to Simulate Winding Internal Fault[J]. Electric Machines & Control Application, 2017, 44(5): 102-107
Authors:WEI Shurong  WANG Jian  ZHANG Lu  GAO Jin  HUANG Surong
Affiliation:College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China,College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China,College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China,School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China and School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
Abstract:The control of doubly fed induction generator (DFIG) was complicated. Offline simulation and traditional fullsubstantial fault experiments had their limitations. A semisubstantial realtime platform of doubly fed wind generation based on dSPACE1007 was constructed in the environment of powerful MATLAB/Simulink. Data interface and control of debugging motors with winding faults, dSPACE and Simulink software together were solved. The experimental results indicated that the platform funtion well in the working condition of stator or rotor winding interrnal faults through changing control parameters and algorithms by control Desk, which provided hardware platforms for fault detective and fault tolerance of DFIG.
Keywords:doubly fed induction gererator (DFIG)   winding internal fault   semisubstantial realtime simulation
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