PV systems control using fuzzy logic controller employing dynamic safety margin under normal and partial shading conditions

Mostafa Bakkar, Ahmed Aboelhassan, Mostafa Abdelgeliel, Michael Galea

Research output: Journal PublicationArticlepeer-review

11 Citations (Scopus)

Abstract

Because of the unpredictable activity of solar energy sources, photovoltaic (PV) maximum power point tracking (MPPT) is essential to guarantee the continuous operation of electrical energy generation at optimal power levels. Several works have extensively examined the generation of the maximum power from the PV systems under normal and shading conditions. The fuzzy logic control (FLC) method is one of the effective MPPT techniques, but it needs to be adapted to work in partial shading conditions. The current paper presents the FLC-based on dynamic safety margin (DSM) as an MPPT technique for a PV system to overcome the limitations of FLC in shading conditions. The DSM is a performance index that measures the system state deviation from the normal situation. As a performance index, DSM is used to adapt the FLC controller output to rapidly reach the global maxima of the PV system. The ability of the proposed algorithm and its performance are evaluated using simulation and practical implementation results for single phase grid-connected PV system under normal and partial shading operating conditions.

Original languageEnglish
Article number841
JournalEnergies
Volume14
Issue number4
DOIs
Publication statusPublished - 2 Feb 2021

Keywords

  • Dynamic safety margin
  • Fuzzy logic controller
  • PV system
  • Partial shading operation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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