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Research on Mixed Logic Dynamic Modeling and Finite Control Set Model Predictive Control of Multi-Inverter Parallel System
Lanzhou Jiaotong University, Lanzhou, 730070, China
* Corresponding Author: Qingbo Zhang. Email:
(This article belongs to the Special Issue: Evolutionary Intelligence-Based Modelling, Optimization and Control in Renewable Energy Systems)
Energy Engineering 2023, 120(3), 649-664. https://doi.org/10.32604/ee.2023.025065
Received 20 June 2022; Accepted 05 September 2022; Issue published 03 January 2023
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Parallel connection of multiple inverters is an important means to solve the expansion, reserve and protection of distributed power generation, such as photovoltaics. In view of the shortcomings of traditional droop control methods such as weak anti-interference ability, low tracking accuracy of inverter output voltage and serious circulation phenomenon, a finite control set model predictive control (FCS-MPC) strategy of microgrid multi-inverter parallel system based on Mixed Logical Dynamical (MLD) modeling is proposed. Firstly, the MLD modeling method is introduced logical variables, combining discrete events and continuous events to form an overall differential equation, which makes the modeling more accurate. Then a predictive controller is designed based on the model, and constraints are added to the objective function, which can not only solve the real-time changes of the control system by online optimization, but also effectively obtain a higher tracking accuracy of the inverter output voltage and lower total harmonic distortion rate (Total Harmonics Distortion, THD); and suppress the circulating current between the inverters, to obtain a good dynamic response. Finally, the simulation is carried out on MATLAB/Simulink to verify the correctness of the model and the rationality of the proposed strategy. This paper aims to provide guidance for the design and optimal control of multi-inverter parallel systems.Graphic Abstract
Keywords
Multiple inverters in parallel; microgrid; mixed logic dynamic model; finite control set model predictive control; circulation
Cite This Article
APA Style
Lu, X., Chen, M., Zhang, Q. (2023). Research on mixed logic dynamic modeling and finite control set model predictive control of multi-inverter parallel system. Energy Engineering, 120(3), 649-664. https://doi.org/10.32604/ee.2023.025065
Vancouver Style
Lu X, Chen M, Zhang Q. Research on mixed logic dynamic modeling and finite control set model predictive control of multi-inverter parallel system. Energ Eng. 2023;120(3):649-664 https://doi.org/10.32604/ee.2023.025065
IEEE Style
X. Lu, M. Chen, and Q. Zhang, “Research on Mixed Logic Dynamic Modeling and Finite Control Set Model Predictive Control of Multi-Inverter Parallel System,” Energ. Eng., vol. 120, no. 3, pp. 649-664, 2023. https://doi.org/10.32604/ee.2023.025065
Copyright © 2023 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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