Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

A maximum power point tracking technique for partially shaded photovoltaic systems in microgrids

Alajmi, Bader N F M T and Ahmed, Khaled and Finney, Stephen and Williams, Barry (2013) A maximum power point tracking technique for partially shaded photovoltaic systems in microgrids. IEEE Transactions on Industrial Electronics, 60 (4). pp. 1596-1606. ISSN 0278-0046

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

A modified fuzzy-logic controller for maximum power point tracking is proposed to increase PV system performance during partially shaded conditions. Instead of perturbing and observing the PV system maximum power point, the controller scans and stores the maximum power during the perturbing and observing procedure. The controller offers accurate convergence to the global maximum operating point under different partial shadowing conditions. A Mathematical model of PV system under partial shadowing conditions is derived. To validate the proposed modified fuzzy-logic based controller simulation and experimentation results are provided.

Item type: Article
ID code: 35646
Keywords: power point tracking technique, photovoltaic systems, microgrids, maximum power point tracking technique, power generation control, distributed power generation, fuzzy control, mathematical analysis, maximum power point trackers, photovoltaic power systems, power distribution control, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 07 Nov 2011 14:24
    Last modified: 05 Sep 2014 13:29
    URI: http://strathprints.strath.ac.uk/id/eprint/35646

    Actions (login required)

    View Item