Sliding mode observer based AC voltage sensorless model predictive control for grid-connected inverter

被引：0
|
作者：
Guo L. [1 ]
Jin N. [1 ]
Li Y. [1 ]
Dai L. [2 ]
Wang H. [1 ]
Zhang K. [1 ]
机构：
[1] College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou
[2] State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2020年 / 40卷 / 06期
基金：
中国国家自然科学基金;
关键词：
AC voltage sensorless; Grid-connected inverter; Low-pass filter; Model predictive control; Sliding mode observer;
D O I：
10.16081/j.epae.202005010
中图分类号：
学科分类号：
摘要：
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. © 2020, Electric Power Automation Equipment Press. All right reserved.
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收藏
页码：108 / 114
页数：6
相关论文
共 24 条
  • [1] GUO Xiaorui, WANG Peiliang, GUO Jifeng, Et al., Analysis and control of bus voltage ripples for grid-connected photovoltaic inverter, Electric Power Automation Equipment, 37, 5, pp. 48-53, (2017)
  • [2] FANG Gang, YANG Yong, LU Jinjun, Et al., Resonance suppression method of high impedance power grid for three-phase photovoltaic grid-connected inverters, Electric Power Automation Equipment, 38, 2, pp. 109-116, (2018)
  • [3] YIN Chenxu, LIU Bang, XIONG Xuan, Et al., Analysis of PWM pulse width error and modeling of grid-connected inverter in HIL simulation system, Electric Power Automation Equipment, 36, 2, pp. 83-89, (2016)
  • [4] YANG Xingwu, JI Hongchao, GAN Wei, Switching loss optimization based on model predictive control for grid-connected inverter, Electric Power Automation Equipment, 35, 8, pp. 84-89, (2015)
  • [5] SHANG Shuyu, CHEN Hao, JIANG Suxia, Et al., Optimized design of active power filter switching loss based on model predictive control, Journal of Light Industry, 32, 2, pp. 103-108, (2017)
  • [6] GUO Leilei, HAN Dongxu, RUI Tao, Hybrid voltage vector preselection strategy based model predictive control method for inverters to reduce common-mode voltage, Electric Power Automation Equipment, 39, 1, pp. 33-39, (2019)
  • [7] DU Shaotong, WU Xiaojie, ZHOU Juan, Et al., A novel algorithm of PWM using virtual flux model prediction, Proceedings of the CSEE, 35, 3, pp. 688-694, (2015)
  • [8] TAO Y, WU Q, WANG L, Et al., Voltage sensorless predictive direct power control of three-phase PWM converters, IET Power Electronics, 9, 5, pp. 1009-1018, (2016)
  • [9] WU Fengjiang, SUN Xiudong, SUN Li, Et al., Control strategy of grid-connected converter without AC voltage sensor and its improvement, Electric Power Automation Equipment, 29, 7, pp. 33-37, (2009)
  • [10] HOU Zhaoran, Research on control method of PWM rectifier based on virtual flux orientation, Power System Protection and Control, 42, 21, pp. 105-109, (2014)
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