Implementation of photovoltaic array MPPT through fixed step predictive control technique

Panagiotis E. Kakosimos, Antonios G. Kladas

Research output: Contribution to journalArticle

95 Citations (Scopus)

Abstract

This paper proposes the implementation of Photovoltaic (PV) array Maximum Power Point Tracker (MPPT) through Fixed Step-Model Predictive Controller (FS MPC). The proposed controller scheme is based on the modified INcremental Conductance (INC) algorithm combined with the two-step horizon FS MPC. The current based INC algorithm is subject to major modifications in order to be capable of real time interaction between the MPPT and the controller obtaining sufficient information in one sampling time. The developed technique has been incorporated into a model for the overall simulation of the performance of a PV array for solar energy exploitation and is compared to the conventional approach under solar radiation variation improving PV system utilization efficiency and enabling to optimize system performance. This study also illustrates the effectiveness of the proposed controller scheme under various sky conditions with a simulation model employing real solar radiation data.

Original languageEnglish
Pages (from-to)2508-2514
Number of pages7
JournalRenewable Energy
Volume36
Issue number9
DOIs
Publication statusPublished - 1 Sep 2011

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Keywords

  • Incremental conductance algorithm
  • Maximum power point tracking
  • Photovoltaic arrays
  • Predictive control technique

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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