@inproceedings{3b0d2cbc62e14d6381e8494f2acb4500,
title = "Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters",
abstract = "To avoid the time-consuming weighting-factor tuning work in conventional finite control set model predictive control (FCS-MPC), a sequential model predictive control (SMPC) scheme for stand-alone voltage source inverters of an islanded ac microgrid is proposed in this paper. The main idea is that two cost functions for separately minimizing the capacitor voltage and the inductor current tracking errors of the $LC$ filter are deployed in a sequential structure instead of being integrated into a single cost function. As a result, the weighting factor for balancing the two control objectives is eliminated. Moreover, the proposed SMPC does not degrade the output-voltage control performance too much. Simulation results are provided, verifying the effectiveness of the presented approach.",
keywords = "Model predictive control,, LC filter, Inverters, Microgrid, Weighting factor design",
author = "Changming Zheng and Tomislav Dragicevic and Minrui Leng and Jose Rodriguez and Frede Blaabjerg",
year = "2020",
doi = "10.1109/PEDG48541.2020.9244416",
language = "English",
isbn = "9781728169897 ",
series = "2020 Ieee 11th International Symposium on Power Electronics for Distributed Generation Systems (pedg)",
pages = "409--412",
booktitle = "Proceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems",
publisher = "IEEE",
address = "United States",
note = "IEEE 11<sup>th</sup> International Symposium on Power Electronics for Distributed Generation Systems , PEDG 2020 ; Conference date: 28-09-2020 Through 01-10-2020",
}