An improved MPPT technique for high gain DC-DC converter using model predictive control for photovoltaic applications

Mohammad B. Shadmand, Mostafa Mosa, Robert Balog, Haitham Abu-Rub

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

34 Citations (Scopus)

Abstract

This paper presents an enhanced Maximum Power Point Tracking (MPPT) of Photovoltaic (PV) systems by means of Model Predictive Control (MPC) techniques. The PV array can feed power to the load through a DC/DC converter boosting the output voltage. Due to stochastic behavior of solar energy, MPPT control technique of PV arrays is required to operate at maximum power point. Extracting the maximum power from PV systems has been widely investigated within the literature. The main contribution of this paper is enhancement of the Incremental Conductance (INC) method through a fixed step predictive control under measured fast solar radiation variation. The proposed predictive control to achieve Maximum Power Point (MPP) speeds up the control loop since it predicts error before the switching signal is applied to the selected high gain multilevel DC-DC converter. Comparing the developed technique to the conventional INC method shows significant improvement in PV system performance. Experimental validation is presented using the dSpace CP 1103 to implement the proposed MPC-MPPT.

Original languageEnglish
Title of host publicationAPEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2993-2999
Number of pages7
ISBN (Print)9781479923250
DOIs
Publication statusPublished - 2014
Event29th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2014 - Fort Worth, TX, United States
Duration: 16 Mar 201420 Mar 2014

Other

Other29th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2014
CountryUnited States
CityFort Worth, TX
Period16/3/1420/3/14

Fingerprint

Model predictive control
DC-DC converters
Solar radiation
Solar energy
Electric potential

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Shadmand, M. B., Mosa, M., Balog, R., & Abu-Rub, H. (2014). An improved MPPT technique for high gain DC-DC converter using model predictive control for photovoltaic applications. In APEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition (pp. 2993-2999). [6803730] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APEC.2014.6803730

An improved MPPT technique for high gain DC-DC converter using model predictive control for photovoltaic applications. / Shadmand, Mohammad B.; Mosa, Mostafa; Balog, Robert; Abu-Rub, Haitham.

APEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2993-2999 6803730.

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

Shadmand, MB, Mosa, M, Balog, R & Abu-Rub, H 2014, An improved MPPT technique for high gain DC-DC converter using model predictive control for photovoltaic applications. in APEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition., 6803730, Institute of Electrical and Electronics Engineers Inc., pp. 2993-2999, 29th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2014, Fort Worth, TX, United States, 16/3/14. https://doi.org/10.1109/APEC.2014.6803730
Shadmand MB, Mosa M, Balog R, Abu-Rub H. An improved MPPT technique for high gain DC-DC converter using model predictive control for photovoltaic applications. In APEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2993-2999. 6803730 https://doi.org/10.1109/APEC.2014.6803730
Shadmand, Mohammad B. ; Mosa, Mostafa ; Balog, Robert ; Abu-Rub, Haitham. / An improved MPPT technique for high gain DC-DC converter using model predictive control for photovoltaic applications. APEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2993-2999
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