| 引用本文: | 茅靖峰,吴博文,吴爱华,张旭东.风力发电系统最大功率跟踪自适应鲁棒控制[J].电力系统保护与控制,2018,46(22):80-86.[点击复制] |
| MAO Jingfeng,WU Bowen,WU Aihua,ZHANG Xudong.Adaptive robust MPPT control for wind power generation system[J].Power System Protection and Control,2018,46(22):80-86[点击复制] |
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| 摘要: |
| 为了提高风力发电系统最大功率跟踪(MPPT)运行的工作性能，针对系统未知建模误差和外部扰动等不确定问题，提出了一种MPPT自适应鲁棒控制方法。该方法建立在基于广义扰动的风力发电系统角速度跟踪动态模型基础上，不依赖于系统模型参数和外部扰动辨识。利用MPPT跟踪偏差的非线性状态反馈和扰动边界值的在线实时估计，自适应地调整切换控制项增益，以加快系统收敛的速度。实际控制律经过一阶积分输出，进一步削弱控制输出信号幅值的抖振，平滑发电转矩，提高跟踪精度。通过构造Lyapunov函数，验证了闭环系统的全局稳定性。通过与常规线性PID控制和非线性动态状态反馈控制(SFC)进行仿真比较，验证了该控制器实现最大功率跟踪控制的良好效果，具有较强的鲁棒性和自适应性。 |
| 关键词: 风力发电系统 最大功率跟踪 自适应控制 鲁棒控制 |
| DOI：10.7667/PSPC171714 |
| 投稿时间：2017-11-21修订日期：2018-01-29 |
| 基金项目:国家自然科学基金项目资助(61673226，51877112);江苏省六大人才高峰项目资助(2015-JY-028);江苏省高校自然科学研究重大项目资助(17KJA470006) |
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| Adaptive robust MPPT control for wind power generation system |
| MAO Jingfeng,WU Bowen,WU Aihua,ZHANG Xudong |
| (School of Electrical Engineering, Nantong University, Nantong 226019, China) |
| Abstract: |
| In order to improve the working performance of the Maximum Power Point Tracking (MPPT) for wind power generation system, this paper proposes an Adaptive Robust Control (ARC) method to overcome uncertain problems, including unknown modeling errors and external disturbances. The ARC method is designed according to a new dynamic model of angular velocity tracking for wind power generation system based on generalized perturbation. It does not require the system model parameters and external disturbance identification. In terms of the on-line estimation of the disturbance boundary value and the nonlinear state feedback based on MPPT tracking error, the gain of the switching control is adaptively adjusted to speed up the convergence of the system. A first-order integral process is involved in the control law to further weaken the chattering of output signal amplitude, hence smooth the torque and improve the tracking accuracy during generation. In addition, the global stability of the closed-loop control system is proved by the Lyapunov approach. By simulation comparing with the conventional linear PID control and the nonlinear dynamic State Feedback Control (SFC), the results show that the proposed controller has good performance in the process of realizing MPPT and has stronger robustness and adaptability. This work is supported by National Natural Science Foundation of China (No. 61673226 and No. 51877112), Six Talents Peak Projects of Jiangsu Province (No. 2015-JY-028), and Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 17KJA470006). |
| Key words: wind power generation system maximum power point tracking adaptive control robust control |
