Model predictive control for PV maximum power point tracking of single-phase subMultilevel Inverter

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

6 Citations (Scopus)

Abstract

Dynamic behavior of solar energy resource entails the need of robust controllers that can converge to the maximum power point (MPP) to maximize energy harvest. This paper explores an improved Perturb and Observe (P&O) technique that combines a fixed step model predictive controller (MPC), to speed up the control loop, applied to a boost converter. The proposed MPC Maximum Power Point Tracking (MPPT) technique is of higher efficacy and robustness over conventional MPPT. The improved MPCMPPT is tested for the first time on an MPC strategy of sevenlevel subMultilevel Inverter (sMI) using three power arms cascaded with the H-bridge inverter. Such topology brings about many sizable benefits such as reduced number of power switches and their gate drivers when compared to the traditional multilevel inverter. MPC is also used as the control strategy for the sMI to eliminate complexities in the space vector pulse width modulation (SVPWM) and overcome the weaknesses of the inner control loop performance.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Conference at Illinois, PECI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509002610
DOIs
Publication statusPublished - 25 Apr 2016
EventIEEE Power and Energy Conference at Illinois, PECI 2016 - Urbana, United States
Duration: 19 Feb 201620 Feb 2016

Other

OtherIEEE Power and Energy Conference at Illinois, PECI 2016
CountryUnited States
CityUrbana
Period19/2/1620/2/16

Fingerprint

Model predictive control
Controllers
Energy resources
Vector spaces
Pulse width modulation
Solar energy
Switches
Topology

ASJC Scopus subject areas

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

Cite this

Metry, M., Bayhan, S., Balog, R., & Abu-Rub, H. (2016). Model predictive control for PV maximum power point tracking of single-phase subMultilevel Inverter. In 2016 IEEE Power and Energy Conference at Illinois, PECI 2016 [7459220] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECI.2016.7459220

Model predictive control for PV maximum power point tracking of single-phase subMultilevel Inverter. / Metry, Morcos; Bayhan, Sertac; Balog, Robert; Abu-Rub, Haitham.

2016 IEEE Power and Energy Conference at Illinois, PECI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7459220.

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

Metry, M, Bayhan, S, Balog, R & Abu-Rub, H 2016, Model predictive control for PV maximum power point tracking of single-phase subMultilevel Inverter. in 2016 IEEE Power and Energy Conference at Illinois, PECI 2016., 7459220, Institute of Electrical and Electronics Engineers Inc., IEEE Power and Energy Conference at Illinois, PECI 2016, Urbana, United States, 19/2/16. https://doi.org/10.1109/PECI.2016.7459220
Metry M, Bayhan S, Balog R, Abu-Rub H. Model predictive control for PV maximum power point tracking of single-phase subMultilevel Inverter. In 2016 IEEE Power and Energy Conference at Illinois, PECI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7459220 https://doi.org/10.1109/PECI.2016.7459220
Metry, Morcos ; Bayhan, Sertac ; Balog, Robert ; Abu-Rub, Haitham. / Model predictive control for PV maximum power point tracking of single-phase subMultilevel Inverter. 2016 IEEE Power and Energy Conference at Illinois, PECI 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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