电工技术学报  2018, Vol. 33 Issue (15): 3450-3460    DOI: 10.19595/j.cnki.1000-6753.tces.171037
电力系统 |
实时电感辨识的模型预测并网逆变器控制方法
李伟, 张勇军, 肖雄
北京科技大学工程技术研究院 北京 100083
The Model Predictive Grid-Connected Inverter Control Method Based on Real-Time Inductance Identification
Li Wei, Zhang Yongjun, Xiao Xiong
Institute of Engineer Technology University of Science and Technology Beijing Beijing 100083 China
全文: PDF (53113 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 电能质量是光伏系统的重要性能指标,而逆变器的控制对其起着决定性作用。传统模型预测控制下的并网逆变器省去了脉冲宽度调制环节,一定程度上加快了系统动态响应速度,但前提是运行在精确的模型参数值下,当逆变电路的电感值受电压、电流的影响改变而导致模型失准时,其控制效果也会下降。针对该问题,提出一种实时电感辨识的模型预测控制方法,分析了电感模型与实际不匹配对预测电流误差的影响,并建立基于实际电流、电压采样值的电感辨识模型,同时加入延时补偿与参考值校正环节以保证电流预测值的准确性与输出开关状态的正确性。仿真与实验证明了改进方法能够对电感值进行实时准确跟踪,并有效降低了模型参数不匹配下的电流畸变率。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
李伟
张勇军
肖雄
关键词 逆变器并网控制模型预测控制实时电感辨识    
Abstract:Power quality is an important performance index of photovoltaic system, and the control of inverter plays a decisive role in it. The single-phase photovoltaic grid-connected inverter under traditional model predictive control omits pulse width modulation, which accelerates the response speed to a certain extent, but the premise is to operate at exact model parameter values. When the inductance value of the inverter circuit is changed by the influence of voltage and current, the model is not punctual, and the control effect will be reduced. To solve this problem, a model predictive control method with real-time inductance identification was proposed. The influence of the mismatch between inductance model and practical inductance on the error of predictive current was analyzed, and an inductance identification model based on the sampling value of actual current and voltage was established. Meanwhile, the time delay compensation and the reference value correction links were added, which guaranted the accuracy of the predicted current and the correctness of the output switching state. Simulation and experiment prove that the improved method can track the inductance in real-time and accurately, and effectively reduce the current distortion rate under the mismatch of model parameter.
Key wordsInverter    grid-connected contral    model predictive control    real-time inductance identification   
收稿日期: 2017-07-19      出版日期: 2018-08-14
PACS: TM464  
  TM615  
基金资助:科技部创新方法工作专项(2016IM010300)和教育部中央高校基本科研业务费资助
通讯作者: 张勇军 男,1973年生,研究员,博士生导师,研究方向为新型控制系统理论、交流调速控制理论与电力电子应用。   
作者简介: 李 伟 男,1993年生,硕士研究生,研究方向为光伏发电并网系统及其控制。E-mail:1120213653@qq.com
引用本文:   
李伟, 张勇军, 肖雄. 实时电感辨识的模型预测并网逆变器控制方法[J]. 电工技术学报, 2018, 33(15): 3450-3460. Li Wei, Zhang Yongjun, Xiao Xiong. The Model Predictive Grid-Connected Inverter Control Method Based on Real-Time Inductance Identification. Transactions of China Electrotechnical Society, 2018, 33(15): 3450-3460.
链接本文:  
https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.171037          https://dgjsxb.ces-transaction.com/CN/Y2018/V33/I15/3450