文章摘要
杨博,束洪春,邱大林,等.变风速下双馈感应发电机非线性鲁棒状态估计反馈控制[J].电力系统自动化,2019,43(4):60-69. DOI: 10.7500/AEPS20180330007.
YANG Bo,SHU Hongchun,QIU Dalin, et al.Nonlinear Robust State Estimation Feedback Control of Doubly-fed Induction Generator Under Variable Wind Speeds[J].Automation of Electric Power Systems,2019,43(4):60-69. DOI: 10.7500/AEPS20180330007.
变风速下双馈感应发电机非线性鲁棒状态估计反馈控制
Nonlinear Robust State Estimation Feedback Control of Doubly-fed Induction Generator Under Variable Wind Speeds
DOI:10.7500/AEPS20180330007
关键词: 双馈感应发电机  最大功率点跟踪  状态估计反馈控制  硬件在环实验
KeyWords: doubly-fed induction generator(DFIG)  maximum power point tracking(MPPT)  state estimation feedback control  hardware-in-the-loop test
上网日期:2018-12-19
基金项目:国家自然科学基金资助项目(51777078)
作者单位E-mail
杨博 昆明理工大学电力工程学院, 云南省昆明市 650500  
束洪春 昆明理工大学电力工程学院, 云南省昆明市 650500  
邱大林 昆明理工大学电力工程学院, 云南省昆明市 650500  
朱德娜 昆明理工大学电力工程学院, 云南省昆明市 650500  
韩一鸣 昆明理工大学电力工程学院, 云南省昆明市 650500  
余涛 华南理工大学电力学院, 广东省广州市 510641 taoyu1@scut.edu.cn 
摘要:
      风速的强随机性与风力发电机建模的不确定性给风力发电系统的优化运行带来了极大的挑战。文中设计了一种新型非线性鲁棒状态估计反馈控制(NRSEFC),从而实现双馈感应发电机的最大功率点跟踪。首先,将风轮机的非线性、发电机参数不确定性以及随机风速的综合影响聚合为一个扰动,同时应用一个滑动模态状态扰动观测器对该扰动进行实时快速估计。随后,将该扰动估计值作为附加控制分量加入状态估计反馈控制中进行在线完全补偿。NRSEFC兼具状态反馈线性控制的结构简单、可靠性高以及非线性鲁棒控制的控制全局一致性和鲁棒性强等双方优点,不依赖于双馈感应发电机系统精确模型且仅需测量转子角速度和无功功率两个状态量。基于阶跃风速、随机风速、发电机参数测量误差以及机端电压跌落4个算例的仿真结果验证了NRSEFC的有效性和鲁棒性。最后,基于dSpace的硬件在环实验验证了所提算法的实际应用性能。
Abstract:
      The high randomness of wind speed and the uncertainties of wind generator modelling have posed great challenges to the optimal operation of wind power generation systems. This paper designs a new nonlinear robust state estimation feedback control(NRSEFC)of doubly-fed induction generator(DFIG)for maximum power point tracking(MPPT). Firstly, the combined effect of wind turbine nonlinearities, generator parameter uncertainties, and wind speed randomness is aggregated into a perturbation, which is then rapidly estimated in real-time by a sliding-mode state and perturbation observer(SMSPO). Furthermore, the perturbation estimation value is fully compensated online as a supplementary control component by a state estimation feedback controller. NRSEFC has the advantages of simple structure, high reliability of linear feedback control, as well as global control consistency and significant robustness of nonlinear robust control, while it does not require an accurate DFIG model and only need the state variables of rotor speed and reactive power. Four case studies, including step change of wind speed, random wind speed, generator parameter measurement error and voltage drop are carried out. Simulation results verify the effectiveness and robustness of the proposed approach. Finally, a dSpace based hardware-in-the-loop(HIL)test validates the application feasibility of the proposed approach.
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