Maximum Power Point Tracking using Model Predictive Control of a flyback converter for photovoltaic applications

Mohammad Shadmand, Robert S. Balog, Haitham Abu Rub

Research output: Contribution to conferencePaperpeer-review

39 Citations (Scopus)

Abstract

Due to the variable, stochastic behavior of the solar energy resource, Maximum Power Point Tracking (MPPT) of photovoltaic (PV) is required to ensure continuous operation at the maximum power point to generate the most electrical energy. This paper presents a Model Predictive Control (MPC) MPPT technique. Extracting the maximum power from PV systems has been widely investigated within the literature; the main contribution of this paper is improvement of the Perturb and Observe (P&O) 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 flyback DC/DC converter. Comparing the developed technique to the conventional P&O method indicates significant improvement in PV system performance. The proposed MPC-MPPT technique for a flyback converter is implemented using the dSpace CP 1103.

Original languageEnglish
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE Power and Energy Conference at Illinois, PECI 2014 - Champaign, IL, United States
Duration: 28 Feb 20141 Mar 2014

Conference

Conference2014 IEEE Power and Energy Conference at Illinois, PECI 2014
Country/TerritoryUnited States
CityChampaign, IL
Period28/02/141/03/14

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