Parameter Estimation of Solar Photovoltaic Cells Using an Improved Artificial Bee Colony Algorithm

Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan

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

Abstract

The solar photovoltaic (PV) array is one of the main components of the solar PV system. The accuracy of the solar PV cell parameters and models is directly affected to the operation and control of the solar PV system. It is obvious that the solar PV cell parameters may change with various operation conditions. Thus, it is important to estimate parameters of the solar PV cell model. Due to the non-linearity, multivariable and multimodal features of the solar PV cell model, the existing approaches are incapable to estimate parameters of the solar PV cell model with a high accuracy. This paper proposes an improved artificial bee colony (ABC) algorithm for estimating parameters of the solar PV cell model. The estimation results obtained by using the improved ABC algorithm are promising and better than those found by other existing approaches.

Original languageEnglish
Title of host publicationComputational Intelligence Methods for Green Technology and Sustainable Development. GTSD 2020
EditorsYo-Ping Huang, Wen-June Wang, Hoang An Quoc, Le Hieu Giang, Nguyen-Le Hung
PublisherSpringer
Pages281-292
Number of pages12
ISBN (Electronic)9783030623241
ISBN (Print)9783030623234
DOIs
Publication statusPublished - 2021
Event5th International Conference on Green Technology and Sustainable Development 2020 - Da Nang City, Viet Nam
Duration: 27 Nov 202028 Nov 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1284
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference5th International Conference on Green Technology and Sustainable Development 2020
Abbreviated titleGTSD 2020
CountryViet Nam
CityDa Nang City
Period27/11/2028/11/20

Keywords

  • Artificial bee colony algorithm
  • Parameter estimation
  • Solar photovoltaic cell

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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