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Model predictive controller for grid-connected photovoltaic based on quasi-Z-source inverter

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

This paper presents model predictive controller (MPC) design for grid-connected Photovoltaic system using quasi-Z-source inverter (QZSI). The QZSI provides a cheaper, simpler, and one stage approach for PV arrays. Using traditional control for QZSI, the two sides (DC-side and AC-side) should be controlled separately. PI controller has been extensively used for QZSI but still PI has some limitations such as system nonlinearity. The main idea of MPC is based on the model of the QZSI and using this model, the future behavior of the output current is predicted over a period of time. Using a cost function, the predictions are assessed and the best switching state is selected to be applied. Using MPC, the output current is regulated based on the maximum PV available power. The QZSI inductor current and capacitor voltage are manipulated based on the same cost function. The simulation results using MATLAB simulink confirm the effectiveness of this controller and the advantages of the MPC as a simple and powerful method for power electronics converter as it does not need additional modulation techniques or internal control loops.

Original languageEnglish
Title of host publicationSLED/PRECEDE 2013 - 2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics
PublisherIEEE Computer Society
ISBN (Print)9781479906819
DOIs
StatePublished - 2013
Event2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics, SLED/PRECEDE 2013 - Munich, Germany
Duration: 17 Oct 201319 Oct 2013

Publication series

NameSLED/PRECEDE 2013 - 2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics

Conference

Conference2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics, SLED/PRECEDE 2013
Country/TerritoryGermany
CityMunich
Period17/10/1319/10/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Boost factor
  • Model predictive control
  • Photovoltaic
  • Quasi-Z-source inverter

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