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Pregled bibliografske jedinice broj: 715635

The estimation of I–V curves of PV panel using manufacturers’ I–V curves and evolutionary strategy


Barukčić, Marinko; Hederić, Željko; Špoljarić, Željko
The estimation of I–V curves of PV panel using manufacturers’ I–V curves and evolutionary strategy // Energy conversion and management, 88 (2014), 447-458 doi:10.1016/j.enconman.2014.08.052 (međunarodna recenzija, članak, znanstveni)


Naslov
The estimation of I–V curves of PV panel using manufacturers’ I–V curves and evolutionary strategy

Autori
Barukčić, Marinko ; Hederić, Željko ; Špoljarić, Željko

Izvornik
Energy conversion and management (0196-8904) 88 (2014); 447-458

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Evolutionary strategy; optimization; I–V curve; PV panel; maximum power point

Sažetak
The method for estimation of I–V curves of photovoltaic (PV) panel by analytic expression is presented in the paper. The problem is defined in the form of an optimization problem. The optimization problem objective is based on data from I–V curves obtained by manufacturers’ or measured I–V curves. In order to estimate PV panel parameters, the optimization problem is solved by using an evolutionary strategy. The proposed method is tested for different PV panel technologies using data sheets. In this method the I–V curve approximation with two linear and a sigmoid function is proposed. The method for estimating the knee of the I–V curve and maximum power point at any irradiance and temperature is proposed.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • CAB Abstracts
  • Compendex (EI Village)
  • GeoRef
  • INSPEC
  • Scopus
  • CSA Engineering Research Database (Cambridge Scientific Abstracts)
  • Engineering Information Database EnCompass LIT
  • Cambridge Scientific Abstracts


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