摘要
在总结分析基于永磁同步发电机PMSG(permanent magnet synchronous generator)的风力发电系统数学模型的基础上,以PMSG风力发电系统的最大风能追踪为控制目标,引入分数阶PIλ控制理论,设计了基于分数阶PIλ的PMSG风力发电系统控制方案,采用遗传算法对分数阶PIλ控制器的参数进行优化整定。在Matlab/Simulink软件平台上建立了PMSG风力发电系统的仿真模型,并与传统整数阶PI控制进行了对比。采用分数阶PIλ控制方案使风力机在额定风速以下能够有效地保持最佳叶尖速比运行,系统控制性能得到有效提高,有较强的鲁棒性。仿真结果证明了该方案的可行性与正确性。
On the basis of analyzing the mathematical model of PMSG (permanent magnet synchronous genera- tor) wind power generation system, to realize the control target of the maximum wind energy tracking for PMSG wind power system, a novel control theory of fractional order PIλ control is proposed and the PMSG wind power system control scheme is designed based on the fractional order PIλ. The genetic algorithm is ap- plied to optimize and set the parameters of the design. A simulation model of PMSG wind power control sys- tem is established based on the Matlab/Simulink software platform. The novel fractional order PIλ control method is compared with the classical integer order PI control method. The proposed PIλ control method can effectively keep optimum tip-speed ratio under rated wind speed and the system control performance is im- proved with good robustness. The simulation results verify the validity and feasibility of the proposed control method.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2012年第6期67-72,共6页
Proceedings of the CSU-EPSA
关键词
分数阶控制
最大风能追踪
永磁同步发电机
遗传算法
建模与仿真
fractional order control
maximum wind energy tracking
permanent magnet synchronous genera-tor
genetic algorithm
model and simulation