Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 847897

A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction


Gulin, Marko; Pavlović, Tomislav; Vašak, Mario
A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction // Solar energy, 142 (2017), 49-60 doi:10.1016/j.solener.2016.12.008 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 847897 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction

Autori
Gulin, Marko ; Pavlović, Tomislav ; Vašak, Mario

Izvornik
Solar energy (0038-092X) 142 (2017); 49-60

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

Ključne riječi
Photovoltaic array output power prediction ; Predictor-corrector method ; Output power prediction uncertainty ; Numerical weather prediction

Sažetak
In this paper we develop and verify a predictor-corrector method for a one-day-ahead photovoltaic array power production prediction. The most critical inputs to the prediction model are predictions of meteorological variables, such as solar irradiance components and the air temperature, which are the main source of the power prediction uncertainty. Through a straightforward application of the weather forecast data sequence, photovoltaic array power production prediction is refreshed with the frequency of new forecasts generation by the meteorological service. We show that the prediction sequence quality can be significantly improved by using a neural- network-based corrector which takes into account near-history realizations of the prediction error. In this way it is possible to refresh the prediction sequence as soon as new local measurements become available. Except for predictions of meteorological variables, the prediction model itself is also a source of the prediction uncertainty, which is also taken into account by the proposed approach. The proposed predictor-corrector method is verified on real data over a 19-month time period. It is shown that the proposed approach can reduce the standard deviation of the power production prediction error up to 50%, especially for the first several instances of the prediction sequence which are in turn the most relevant for real-time operation of predictive control systems that use the photovoltaic array power production prediction, like microgrid energy flows control or distribution network regulation.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mario Vašak (autor)

Avatar Url Marko Gulin (autor)

Avatar Url Tomislav Pavlović (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Gulin, Marko; Pavlović, Tomislav; Vašak, Mario
A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction // Solar energy, 142 (2017), 49-60 doi:10.1016/j.solener.2016.12.008 (međunarodna recenzija, članak, znanstveni)
Gulin, M., Pavlović, T. & Vašak, M. (2017) A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction. Solar energy, 142, 49-60 doi:10.1016/j.solener.2016.12.008.
@article{article, author = {Gulin, Marko and Pavlovi\'{c}, Tomislav and Va\v{s}ak, Mario}, year = {2017}, pages = {49-60}, DOI = {10.1016/j.solener.2016.12.008}, keywords = {Photovoltaic array output power prediction, Predictor-corrector method, Output power prediction uncertainty, Numerical weather prediction}, journal = {Solar energy}, doi = {10.1016/j.solener.2016.12.008}, volume = {142}, issn = {0038-092X}, title = {A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction}, keyword = {Photovoltaic array output power prediction, Predictor-corrector method, Output power prediction uncertainty, Numerical weather prediction} }
@article{article, author = {Gulin, Marko and Pavlovi\'{c}, Tomislav and Va\v{s}ak, Mario}, year = {2017}, pages = {49-60}, DOI = {10.1016/j.solener.2016.12.008}, keywords = {Photovoltaic array output power prediction, Predictor-corrector method, Output power prediction uncertainty, Numerical weather prediction}, journal = {Solar energy}, doi = {10.1016/j.solener.2016.12.008}, volume = {142}, issn = {0038-092X}, title = {A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction}, keyword = {Photovoltaic array output power prediction, Predictor-corrector method, Output power prediction uncertainty, Numerical weather prediction} }

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


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font