A particle swarm optimization-based maximum power point tracking algorithm for PV systems operating under partially shaded conditions

Yi Hwa Liu*, Shyh Ching Huang, Jia Wei Huang, Wen Cheng Liang

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

470 Scopus citations

Abstract

A photovoltaic (PV) generation system (PGS) is becoming increasingly important as renewable energy sources due to its advantages such as absence of fuel cost, low maintenance requirement, and environmental friendliness. For large PGS, the probability for partially shaded condition (PSC) to occur is also high. Under PSC, the P-V curve of PGS exhibits multiple peaks, which reduces the effectiveness of conventional maximum power point tracking (MPPT) methods. In this paper, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed. The standard version of PSO is modified to meet the practical consideration of PGS operating under PSC. The problem formulation, design procedure, and parameter setting method which takes the hardware limitation into account are described and explained in detail. The proposed method boasts the advantages such as easy to implement, system-independent, and high tracking efficiency. To validate the correctness of the proposed method, simulation, and experimental results of a 500-W PGS will also be provided to demonstrate the effectiveness of the proposed technique.

Original languageEnglish
Article number6317161
Pages (from-to)1027-1035
Number of pages9
JournalIEEE Transactions on Energy Conversion
Volume27
Issue number4
DOIs
StatePublished - 2012
Externally publishedYes

Keywords

  • Maximum power point tracking (MPPT)
  • partially shaded condition (PSC)
  • particle swarm optimization (PSO)
  • photovoltaic (PV) generation system (PGS)

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