Maximum power point tracking techniques under partial shading condition-A review

Reyaz Hussan, Adil Sarwar

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

20 Scopus citations

Abstract

Partially shaded condition (PSC) is one of the major problems in large photovoltaic generation systems. It causes losses in output power and hot spot effects. Under PSC, PV characteristic curve exhibits multiple peaks having one global maximum power point and multiple local maximum power points. Tracking the global maximum power point is one of the main challenges the design engineers have to face. The paper presents the recent work done on the development of Global Maximum Power Point Tracking (GMPPT) algorithms under partial shading condition and their comparative analysis. To have focus on GMPPT techniques used in PSC, traditional MPPT techniques that cannot distinguish GMPP from local maximum power points have not been discussed.

Original languageEnglish
Title of host publication2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages293-298
Number of pages6
ISBN (Electronic)9781538666258
DOIs
StatePublished - Oct 2018
Externally publishedYes
Event2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018 - Delhi, India
Duration: 22 Oct 201824 Oct 2018

Publication series

Name2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018

Conference

Conference2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
Country/TerritoryIndia
CityDelhi
Period22/10/1824/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Global Maximum Power Point Tracking (GMPPT)
  • P-V characteristics
  • Partial Shading Condition (PSC)

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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