Short-ranged maximum power point tracking algorithm for series connected photovoltaics in partial shading situation

Jirada Gosumbonggot, Nguyen Duy-Dinh, Goro Fujita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Photovoltaic (PV) technology has increased its usage significantly due to its operation which contribute no harm towards environment. However, its efficiency strongly depends on the irradiation whereas less irradiation causes towards energy efficiency. Shadows from Partial shading situation contributes degradation toward photovoltaics (PV) technology, making less generated energy. The maximum power point tracking (MPPT) which used to control the PV system's to maintain the operation at the highest power might fall due to more number of local peaks when shading situation occurs. In this research presents alternative method called 'Short-ranged Maximum Power Point Tracking' which has been studied and developed to be integrated with tracking system in order to perform in shading condition. Case studies indicated degrees of shading are investigated and its efficiency is proposed.

Original languageEnglish
Title of host publicationProceedings - 12th SEATUC Symposium, SEATUC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538650943
DOIs
Publication statusPublished - 2018 Mar
Event12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia
Duration: 2018 Mar 122018 Mar 13

Publication series

NameProceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

Conference12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018
Country/TerritoryIndonesia
CityYogyakarta
Period18/3/1218/3/13

Keywords

  • Irradiation
  • MPPT
  • Maximum power
  • Partial shading
  • Photovoltaics
  • Tracking system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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