Current Control of Grid-Connected Inverter With LCL Filter Based on Extended-State Observer Estimations Using Single Sensor and Achieving Improved Robust Observation Dynamics

Current Control of Grid-Connected Inverter With LCL Filter Based on Extended-State Observer Estimations Using Single Sensor and Achieving Improved Robust Observation Dynamics
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基于扩展状态观测器估计的 LCL 滤波器并网逆变器的电流控制使用单传感器并实现改进的鲁棒观测动态

DOI:
10.1109/tie.2017.2674600
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发表时间:
2017-02
影响因子:
7.7
通讯作者:
Hong Liu
Hong Liu
中科院分区:
计算机科学1区
文献类型:
--
作者:
Baochao Wang;Yongxiang Xu;Zhaoyuan Shen;Jibin Zou;Chaoquan Li;Hong Liu

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在分布式发电和可再生能源向智能电网渗透的背景下,带LCL滤波器的并网逆变器受到了广泛关注,其电流控制通常需要多个传感器来实现有源阻尼和电网同步。提出了一种基于扩张状态观测器(ESO)的全状态观测策略,该策略仅采用逆变器电流反馈,不需要电网电压传感器。所提出的观测策略包括观测过程和转换过程。与传统的Luenberger观测器不同,ESO的观测过程中不存在系统参数,因此观测器动态和参数失配误差可以分开处理,在参数变化时提供更鲁棒的观测动态。对观测器参数失配进行了研究,发现有目的地选取小于真实的观测器参数可以获得相对较小的估计误差和较大的参数变化适应范围。所提出的观测策略实现简单,不需要基于专家知识的参数整定,如极点配置。实验结果表明,该控制方法具有良好的动态和稳态性能,并能适应系统参数的变化。
In the context of distributed generation and renewable energy penetration toward smart grid, grid-connected inverter with LCL filter has drawn many attentions, whose current control conventionally requires several sensors to realize active damping and grid synchronization. In this paper, a novel full status observation strategy based on extended state observer (ESO) is proposed using inverter current feedback only and without grid voltage sensor. The proposed observation strategy contains observation and transformation process. Unlike conventional Luenberger observer, by using ESO, the system parameters do not appear in observation process, thus the observer dynamics and parameter mismatch error can be separately handled, providing more robust observation dynamics during parameter variation. Parameter mismatch study was carried out, and it is found that purposely choosing the observer parameters smaller than the real value can achieve relatively low estimation error and a large adaption range for parameter variation. The proposed observation strategy is simple to implement, without the need of expert knowledge-based parameter tuning such as pole placement. Experimental tests validated that the proposed observation-based control is able to give satisfactory performance in both dynamic and steady states, as well as adaption for system parameter variation.
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