| 引用本文: | 孙志辉,郝万君,曹松青,等.基于自适应广义滑模观测器的风力发电系统故障重构[J].电力系统保护与控制,2021,49(3):123-130.[点击复制] |
| SUN Zhihui,HAO Wanjun,CAO Songqing,et al.Fault reconstruction of a wind power system based on an adaptive generalized sliding mode observer[J].Power System Protection and Control,2021,49(3):123-130[点击复制] |
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| 摘要: |
| 针对风力发电系统的状态估计和执行器故障重构问题，提出一种自适应广义滑模观测器。通过构建一个增广系统，使得执行器故障成为系统状态的一部分。设计广义滑模观测器对增广系统进行状态估计从而获得所需的故障信息。针对实际风力发电系统中故障上界未知的问题，设计一种自适应算法来估计故障信息的上界。以5 MW的风电机组为研究对象，在Matlab/Simulink平台下进行仿真，结果证明了所提方法能够准确地实现系统状态以及故障的估计。 |
| 关键词: 风力发电系统 状态估计 故障重构 自适应算法 广义滑模观测器 |
| DOI：DOI: 10.19783/j.cnki.pspc.200347 |
| 投稿时间：2020-04-02修订日期：2020-09-14 |
| 基金项目:国家自然科学基金项目资助(51477109，61703296)；江苏省研究生科研与实践创新计划项目资助(KYCX19_2016) |
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| Fault reconstruction of a wind power system based on an adaptive generalized sliding mode observer |
| SUN Zhihui,HAO Wanjun,CAO Songqing,WANG Hao,HAO Shiyuan,ZHOU Jiayu |
| (1. Institute of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China;
2. Department of Electrical Engineering, Technical University of Denmark, Lyngby 999017, Copenhagen) |
| Abstract: |
| An adaptive generalized sliding mode observer is proposed for the state estimation and actuator fault reconstruction of a wind power system. By constructing an augmentation system, the actuator fault becomes a part of the system state. A generalized sliding mode observer is designed to estimate the state of the augmentation system to obtain the required fault information. Given that the upper bound of fault is unknown in the actual wind power generation system, an adaptive algorithm is designed to estimate it. Taking a 5 MW wind turbine as the research object, a simulation is carried out on the Matlab/Simulink platform, and the results show that the proposed method can accurately estimate the system state and fault.
This work is supported by the National Natural Science Foundation of China (No. 51477109 and No. 61703296) and the Scientific Research and Practical Innovation for Postgraduates in Jiangsu Province (No. KYCX19_2016). |
| Key words: wind energy conversion system state estimation fault reconstruction adaptive algorithm generalized sliding mode observer |
