Model predictive control of grid-tied photovoltaic systems: Maximum power point tracking and decoupled power control

Mohammad B. Shadmand, Xiao Li, Robert Balog, Haitham Abu-Rub

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

6 Citations (Scopus)

Abstract

This paper presents maximum power point tracking (MPPT) and decoupled power control for single phase grid-tied photovoltaic (PV) systems. Model predictive control (MPC) technique is used to extract the maximum power from the PV array and feed it to grid. The stochastic behavior of solar energy necessitates MPPT of PV system to operate at maximum power point and make the system economical. Power control of grid-tied inverters are commonly based on synchronous reference frame transformation, this methodology requires the phase angle information by phase-looked loop (PLL). In this paper MPC technique is used for decoupled active and reactive power control of the single phase grid-tied inverter. The proposed technique does not need PLL, modulation module and synchronization transform, which makes the control algorithm simple for digital implementation. Comparing the developed technique to the conventional perturb & observe (P&O) method indicates significant improvement in PV system performance. The simulation result is validated by implementing the control algorithm experimentally using dSPACE 1007.

Original languageEnglish
Title of host publication2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467367653
DOIs
Publication statusPublished - 17 Aug 2015
Event1st Workshop on Smart Grid and Renewable Energy, SGRE 2015 - Doha, Qatar
Duration: 22 Mar 201523 Mar 2015

Other

Other1st Workshop on Smart Grid and Renewable Energy, SGRE 2015
CountryQatar
CityDoha
Period22/3/1523/3/15

Fingerprint

Model predictive control
Power control
Reactive power
Solar energy
Synchronization
Modulation

Keywords

  • Cost function
  • Inverters
  • Maximum power point trackers
  • Power control
  • Predictive control
  • Reactive power
  • Switches

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

Cite this

Shadmand, M. B., Li, X., Balog, R., & Abu-Rub, H. (2015). Model predictive control of grid-tied photovoltaic systems: Maximum power point tracking and decoupled power control. In 2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015 [7208726] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGRE.2015.7208726

Model predictive control of grid-tied photovoltaic systems : Maximum power point tracking and decoupled power control. / Shadmand, Mohammad B.; Li, Xiao; Balog, Robert; Abu-Rub, Haitham.

2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7208726.

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

Shadmand, MB, Li, X, Balog, R & Abu-Rub, H 2015, Model predictive control of grid-tied photovoltaic systems: Maximum power point tracking and decoupled power control. in 2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015., 7208726, Institute of Electrical and Electronics Engineers Inc., 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015, Doha, Qatar, 22/3/15. https://doi.org/10.1109/SGRE.2015.7208726
Shadmand MB, Li X, Balog R, Abu-Rub H. Model predictive control of grid-tied photovoltaic systems: Maximum power point tracking and decoupled power control. In 2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7208726 https://doi.org/10.1109/SGRE.2015.7208726
Shadmand, Mohammad B. ; Li, Xiao ; Balog, Robert ; Abu-Rub, Haitham. / Model predictive control of grid-tied photovoltaic systems : Maximum power point tracking and decoupled power control. 2015 1st Workshop on Smart Grid and Renewable Energy, SGRE 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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