Pregled bibliografske jedinice broj: 516337
Meteorological and weather forecast data-based prediction of electrical power delivery of a photovoltaic panel in a stochastic framework
Meteorological and weather forecast data-based prediction of electrical power delivery of a photovoltaic panel in a stochastic framework // Proceedings of the 34th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2011 / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2011. str. 93-98 (predavanje, domaća recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 516337 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Meteorological and weather forecast data-based prediction of electrical power delivery of a photovoltaic panel in a stochastic framework
Autori
Vašak, Mario ; Gulin, Marko ; Čeović, Josip ; Nikolić, Dražen ; Pavlović, Tomislav ; Perić, Nedjeljko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 34th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2011
/ Bogunović, Nikola ; Ribarić, Slobodan - Zagreb : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2011, 93-98
ISBN
978-953-233-062-5
Skup
34th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2011
Mjesto i datum
Opatija, Hrvatska, 23.05.2011. - 27.05.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Domaća recenzija
Ključne riječi
photovoltaic panel; weather data; power prediction; solar irradiance; neural network; unscented transformation
Sažetak
The aim of this work is to yield a procedure for predicting expectation and covariance of power delivered by a generally tilted photovoltaic panel, based on available expectations and covariances of incident weather forecast data. The procedure consists of several steps: (i) neural-network-based identification of direct and diffuse solar irradiance models as static functions of available meteorological data ; (ii) implementing the model of overall solar irradiance received on a tilted surface ; (iii) determination and implementation of a thermal model of a photovoltaic panel, and (iv) implementing the unscented transformation to compute expectation and covariance of a stochastic variable after passing through a nonlinear mapping. Obtained simulation results present usefulness of the approach which is to be used within predictive control strategies of electrical storages in a microgrid with photovoltaic panels, that will optimize a combination of technical and economical criteria of the microgrid operation.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
036-0361621-3012 - Napredne strategije upravljanja i estimacije u složenim sustavima (Perić, Nedjeljko, MZO ) ( CroRIS)
036-0363078-3018 - Upravljanje mobilnim robotima i vozilima u nepoznatim i dinamičkim okruženjima (Petrović, Ivan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
