Pregled bibliografske jedinice broj: 1195056
Wavelet Multi-Scale Analysis of Wind Turbines Smoothing Effect and Power Fluctuations
Wavelet Multi-Scale Analysis of Wind Turbines Smoothing Effect and Power Fluctuations // 9th Internation Renewable and Sustainable Energy Conference
Maroko: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.1109/irsec53969.2021.9741097 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1195056 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Wavelet Multi-Scale Analysis of Wind Turbines
Smoothing Effect and Power Fluctuations
Autori
Meglic, Antun ; Goic, Ranko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
9th Internation Renewable and Sustainable Energy Conference
Mjesto i datum
Maroko, 23.11.2021. - 27.11.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
wind turbine , power fluctuations , smoothing effect , multi-scale analysis , maximal overlap discrete wavelet transform
Sažetak
With the increased interest for co-location of wind and solar PV plants, the issues related to power fluctuations and their impact on production curtailment losses due to grid constraints gained additional importance. This paper investigates power fluctuations and the smoothing effect in wind farms utilising wavelet multi-scale analysis based on 1-second wind speed and wind power data measurements. Maximal overlap discrete wavelet transform (MODWT) is applied to decompose the wind power time series into several scales, each representing particular frequency band. Analysis of variance across multiple scales is provided for wind speed and power time series of a single and multiple wind turbine generators (WTGs). Additionally, multi-scale correlations are captured between a pair of WTGs on two sites. Smoothing effect has been analysed across different time scales in three operational wind farms of different sizes. The results imply that power fluctuations in large-scale wind farms can be accurately captured using 1-minute time resolution.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split