An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

Mostafa Ahmed, Mohamed Abdelrahem, Ralph Kennel, Christoph M. Hackl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (PO) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.

Original languageEnglish
Title of host publication2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158495
DOIs
StatePublished - Feb 2020
Event11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of
Duration: 4 Feb 20206 Feb 2020

Publication series

Name2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conference

Conference11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
Country/TerritoryIran, Islamic Republic of
CityTehran
Period4/02/206/02/20

Keywords

  • FCS-MPC
  • MPPT
  • Modeling
  • PV module
  • PV system

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