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Pregled bibliografske jedinice broj: 665516

Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation


Jakus, Damir; Krstulović Opara, Jakov; Vasilj, Josip
Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation // EWEA 2013 Conference proceedings
Beč: EWEA, 2013. str. 1-8 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 665516 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation

Autori
Jakus, Damir ; Krstulović Opara, Jakov ; Vasilj, Josip

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
EWEA 2013 Conference proceedings / - Beč : EWEA, 2013, 1-8

Skup
EWEA 2013

Mjesto i datum
Beč, Austrija, 05.02.2013. - 07.02.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
wind speed data simulation; correlation; autocorrelation; Weibull distribution

Sažetak
The variability of wind power production poses the greatest challenge in the integration of large-scale wind power in power systems. An analysis of the characteristics of the Croatian wind power resource has been carried out, based on observed wind speed data from recording sites for the period of one year. Also, a methodology to simulate realistic synthetic wind speed data at different locations is developed. The simulation methodology requires only basic statistical properties which describe characteristics of wind speed data, primary: Weibull scale and shape parameters, correlation and autocorrelation coefficients. The proposed methodology gives possibility of modeling the stochastic dependence between wind power time series in conjunction with individual persistence of wind speed data at each location. A comparison between measured wind time series from recording sites and simulated wind speed data series with similar parameters is conducted.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
023-0361590-1654 - Razvoj i pogon elektroenergetskog sustava s visokim udjelom vjetroelektrana (Goić, Ranko, MZOS ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Damir Jakus (autor)

Avatar Url Jakov Krstulović Opara (autor)

Avatar Url Josip Vasilj (autor)


Citiraj ovu publikaciju:

Jakus, Damir; Krstulović Opara, Jakov; Vasilj, Josip
Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation // EWEA 2013 Conference proceedings
Beč: EWEA, 2013. str. 1-8 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jakus, D., Krstulović Opara, J. & Vasilj, J. (2013) Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation. U: EWEA 2013 Conference proceedings.
@article{article, author = {Jakus, Damir and Krstulovi\'{c} Opara, Jakov and Vasilj, Josip}, year = {2013}, pages = {1-8}, keywords = {wind speed data simulation, correlation, autocorrelation, Weibull distribution}, title = {Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation}, keyword = {wind speed data simulation, correlation, autocorrelation, Weibull distribution}, publisher = {EWEA}, publisherplace = {Be\v{c}, Austrija} }
@article{article, author = {Jakus, Damir and Krstulovi\'{c} Opara, Jakov and Vasilj, Josip}, year = {2013}, pages = {1-8}, keywords = {wind speed data simulation, correlation, autocorrelation, Weibull distribution}, title = {Correlation and autocorrelation characteristics of Croatian wind resource and method of synthetic wind data simulation}, keyword = {wind speed data simulation, correlation, autocorrelation, Weibull distribution}, publisher = {EWEA}, publisherplace = {Be\v{c}, Austrija} }




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