Sensorless current model predictive control for maximum power point tracking of single-phase subMultilevel inverter for photovoltaic systems

Morcos Metry, Sertac Bayhan, Mohammad B. Shadmand, Robert Balog, Haitham Abu-Rub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces to maximize the energy harvest by continuous operation at maximum power point (MPP). This paper proposes a sensorless current model predictive control maximum power point tracking (SC-MPC-MPPT) algorithm. By predicting the future behavior of the power conversion stage, the proposed controller features fast and stable performance under dynamic ambient condition and negligible oscillation around MPP at steady state. Moreover, it does not require expensive sensing and communication equipment and networks to directly measure the changing solar insolation level. The power conversion stage includes an upstream boost dc/dc power conversion to a dc-link capacitor, and a downstream seven-level sub-Multilevel Inverter (sMI) from the dc-link capacitor to the grid. The sMI is using three power arms cascaded with an H-bridge inverter. This topology brings considerable benefits such as reduced number of power switches and their gate drivers when compared to the traditional multilevel inverters. Model Predictive Control (MPC) is employed for current regulation of the sMI, thus eliminating the need of cascaded classical control loops and modulator. The proposed SC-MPC-MPPT technique for a boost converter is implemented experimentally using the dSPACE DS1007 platform.

Original languageEnglish
Title of host publicationECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007370
DOIs
Publication statusPublished - 13 Feb 2017
Event2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States
Duration: 18 Sep 201622 Sep 2016

Other

Other2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
CountryUnited States
CityMilwaukee
Period18/9/1622/9/16

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Keywords

  • Maximum Power Point Tracking
  • Model Predictive Control
  • Multi-level Inverters
  • Optimal Control
  • Photovoltaic
  • Sensorless Current Mode Control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Control and Optimization

Cite this

Metry, M., Bayhan, S., Shadmand, M. B., Balog, R., & Abu-Rub, H. (2017). Sensorless current model predictive control for maximum power point tracking of single-phase subMultilevel inverter for photovoltaic systems. In ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings [7855423] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2016.7855423