ANN-PSO Optimization of PV Systems under Different Weather Conditions

Adedayo M. Farayola, Yanxia Sun, Ahmed Ali

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

20 Citations (Scopus)

Abstract

Conventional maximum power point tracking (MPPT) techniques like Perturb 0bserve perform ineffectively under partial shading condition due to its inability to effectively track the global maximum power point (GMPP). Particle swarm optimization (PSO) is a recent metaheuristic technique and has been used to extract maximum power from PV systems but takes time to iteratively locate the GMPP. This paper presents a novel hybrid ANN-PSO technique using series-connected distributed MPPT configuration. The simulation MPPT results using ANN- PSO configuration, PSO, and Perturb observe (P O) were compared with theoretical power values under different weather conditions to determine the most efficient MPPT method that can be considered for MPPT task in PV systems under uniform irradiance and partial shading conditions. Obtained results show that ANN-PSO can achieve the best performance.

Original languageEnglish
Title of host publication7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1363-1368
Number of pages6
ISBN (Electronic)9781538659823
DOIs
Publication statusPublished - 6 Dec 2018
Event7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 - Paris, France
Duration: 14 Oct 201817 Oct 2018

Publication series

Name7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018

Conference

Conference7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
Country/TerritoryFrance
CityParis
Period14/10/1817/10/18

Keywords

  • ANN-PSO
  • Distributed MPPT
  • Global MPPT
  • MPPT
  • P O
  • PSO
  • Partial shading
  • Photovoltaic systems

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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