A Novel MPPT Method Based on Inflection Voltages

Kesilmis Z., Karabacak M. A., Aksoy M.

JOURNAL OF CLEANER PRODUCTION, cilt.266, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 266
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.jclepro.2020.121473
  • Dergi Adı: JOURNAL OF CLEANER PRODUCTION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Business Source Elite, Business Source Premier, CAB Abstracts, Chimica, Communication Abstracts, Compendex, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Photovoltaic, MPPT, Partial shading, Inflection voltage, Solar energy harvesting, MAXIMUM-POWER-POINT, INCREMENTAL CONDUCTANCE MPPT, TRACKING TECHNIQUES, PV SYSTEMS, HARDWARE IMPLEMENTATION, PHOTOVOLTAIC SYSTEMS, ALGORITHM, SIMULATION, PERFORMANCE, MODULES
  • Çukurova Üniversitesi Adresli: Evet

Özet

This study presents a novel maximum power point tracking method named inflection voltage method for photovoltaic systems. Inflection voltage method aims to find the global maximum power point using inflection voltages. It is known that multiple peaks occur in the power/voltage curves of photovoltaic arrays under partial shading conditions. Traditional methods such as perturb and observe and fractional open circuit voltage methods cannot perform MPPT with high performance in case of partial shading conditions. The inflection voltage method provides solutions to the problems of algorithms like fractional open circuit voltage and perturb and observe, such as failure to work under partial shading conditions and oscillation of output power. The success of inflection voltage method was tested first in the PSIM environment and then in the experimental setup developed. Computer simulations and experimental results showed that the proposed algorithm outperforms both fractional open circuit voltage, perturb and observe, particle swarm optimization under different partial shading conditions. (C) 2020 Elsevier Ltd. All rights reserved.