Open AccessOpen Access

ARTICLE

Research on Mixed Logic Dynamic Modeling and Finite Control Set Model Predictive Control of Multi-Inverter Parallel System

Xiaojuan Lu, Mengqiao Chen, Qingbo Zhang*

Lanzhou Jiaotong University, Lanzhou, 730070, China

* Corresponding Author: Qingbo Zhang. Email:

(This article belongs to this 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

Abstract

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.

Graphical Abstract

Research on Mixed Logic Dynamic Modeling and Finite Control Set Model Predictive Control of Multi-Inverter Parallel System

Keywords


Cite This Article

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.



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.
  • 544

    View

  • 262

    Download

  • 0

    Like

Share Link