A GMPPT algorithm for preventing the LMPP problems based on trend line transformation technique

Hwa Dong Liu, Chang Hua Lin*, Kai Jun Pai, Chien Ming Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This study realises a new solar-power generation system that can complete the global maximum power point tracking (GMPPT) control under uniform irradiation and partial shading conditions (UIC and PSC, respectively). The microcontroller unit of the proposed system calculates the IGMPP of the photovoltaic (PV) module to accurately execute GMPPT on the basis of the PV module current (Ipv), power (Ppv) and temperature trend line slope (dIpv/dPpv). The microcontroller unit can then confirm whether the PV module suffers from shading according to the slope (dIpv/dPpv) and immediately executes the PSC mode control strategy to calculate the VGMPP of the PV module, thereby accurately tracking the GMPP. Further, the proposed algorithm is compared with the particle swarm optimization (PSO) method, traditional hill-climbing (HC), and perturbation and observation (P&Q) algorithms for MATLAB simulation and actual measurement. These four algorithms firstly use MATLAB to simulate the dynamic response of the solar irradiance level from 1000 W/m2 to 500 W/m2. Then the measured separately under UIC of 1000 W/m2, and measured under PSC of 500 W/m2 and 1000 W/m2, respectively. Finally, all the simulations and experimental results confirm that the proposed algorithm has better GMPPT performance and convergence time than the PSO, the traditional HC, and P&O techniques.

Original languageEnglish
Pages (from-to)53-67
Number of pages15
JournalSolar Energy
Volume198
DOIs
Publication statusPublished - 2020 Mar 1
Externally publishedYes

Keywords

  • Global maximum power point tracking
  • Partial shading condition
  • Uniform irradiation condition

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)

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