引用本文:郭磊磊,金楠,李琰琰,代林旺,王华清,章凯旋.基于滑模观测器的并网逆变器无交流电压传感器模型预测控制[J].电力自动化设备,2020,40(6):
GUO Leilei,JIN Nan,LI Yanyan,DAI Linwang,WANG Huaqing,ZHANG Kaixuan.Sliding mode observer based AC voltage sensorless model predictive control for grid-connected inverter[J].Electric Power Automation Equipment,2020,40(6):
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基于滑模观测器的并网逆变器无交流电压传感器模型预测控制
郭磊磊1, 金楠1, 李琰琰1, 代林旺2, 王华清1, 章凯旋1
1.郑州轻工业大学 电气信息工程学院,河南 郑州 450002;2.中国电力科学研究院有限公司 新能源与储能运行控制国家重点实验室,北京 100192
摘要:
为了提高并网逆变器的运行可靠性,降低交流电压传感器故障的影响,研究并提出了一种基于滑模观测器和双低通滤波器的电网电压频率自适应观测方法,并设计了一种基于电网电压观测值的并网逆变器模型预测电流控制策略。所提电网电压观测方法克服了频率偏差对电网电压观测的影响,提高了电网电压观测精度。同时,由于低通滤波器的使用,电网电压背景谐波对电流控制的影响也得到一定程度的抑制。通过详细的对比实验结果验证了所提方法的有效性。
关键词:  并网逆变器  滑模观测器  无交流电压传感器  模型预测控制  低通滤波器
DOI:10.16081/j.epae.202005010
分类号:TM464
基金项目:国家自然科学基金资助项目(51707176);新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司)开放基金资助项目;河南省高等学校重点科研项目(18A470020,20A470011);河南省青年人才托举工程项目(2019HYTP021)
Sliding mode observer based AC voltage sensorless model predictive control for grid-connected inverter
GUO Leilei1, JIN Nan1, LI Yanyan1, DAI Linwang2, WANG Huaqing1, ZHANG Kaixuan1
1.College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China;2.State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China
Abstract:
To improve the operational reliability of grid-connected inverters, and reduce the fault influence of AC voltage sensors, a grid voltage and frequency adaptive observation method based on sliding mode observer and double low-pass filters is studied and proposed, and a predictive current control strategy based on the observed grid voltage is designed for grid-connected inverters. The proposed grid voltage observation method can overcome the influence of frequency deviation on grid voltage observation, and improve the grid voltage observation accuracy. Meanwhile, because of the utilization of the low-pass filter, the influence of the grid voltage harmonic on the current control can be suppressed to a certain extent. Detailed comparative experimental results verify the effectiveness of the proposed method.
Key words:  grid-connected inverter  sliding mode observer  AC voltage sensorless  model predictive control  low-pass filter

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