Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning

Monika Sandelic; Ariya Sangwongwanich; Saeed Peyghami; Frede Blaabjerg

doi:10.1109/PEDG54999.2022.9923304

Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning

Monika Sandelic^*, Ariya Sangwongwanich, Saeed Peyghami, Frede Blaabjerg

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

52 Downloads (Pure)

Abstract

The power electronics system reliability is strongly dependent on the environmental and operating conditions at the installation site. During the reliability modelling, a mission profile-based procedure is traditionally employed to account for this dependency. To accurately estimate the reliability, mission profiles need to include the low resolution time intervals (e.g., several minutes per sample). The main forecasting challenge is the accurate prediction of such profiles for long-term prediction horizons, such as several years ahead. Therefore, in this paper, a mission profile forecasting method suitable for long-term reliability-oriented planning is proposed. The benefit of this method includes multi-year mission profile prediction with high time resolution (i.e., 1 minute per sample) suitable for power electronics reliability studies. A case study reveals that the proposed forecasting method enables power electronics modelling with less than 5% relative error in reliability estimation over different time horizons.

Originalsprog	Engelsk
Titel	Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
Antal sider	6
Forlag	IEEE
Publikationsdato	jun. 2022
Sider	1-6
Artikelnummer	9923304
ISBN (Trykt)	978-1-6654-6619-6
ISBN (Elektronisk)	978-1-6654-6618-9
DOI	https://doi.org/10.1109/PEDG54999.2022.9923304
Status	Udgivet - jun. 2022
Begivenhed	13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022) - Kiel, Tyskland Varighed: 26 jun. 2022 → 29 jun. 2022 https://pedg2022.org/

Konference

Konference	13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022)
Land/Område	Tyskland
By	Kiel
Periode	26/06/2022 → 29/06/2022
Internetadresse	https://pedg2022.org/

Navn	IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
ISSN	2329-5767

Adgang til dokumentet

10.1109/PEDG54999.2022.9923304

Final_PEDG2022Accepteret manuskript, 1,35 MB

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Andre filer og links

Link to publication in Scopus

REPEPS: REliable Power Electronic based Power System
Blaabjerg, F., Iannuzzo, F., Davari, P., Wang, H., Wang, X. & Yang, Y.
01/08/2017 → 01/12/2023
Projekter: Projekt › Forskning

Citationsformater

Sandelic, M., Sangwongwanich, A., Peyghami, S., & Blaabjerg, F. (2022). Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning. I Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (s. 1-6). Artikel 9923304 IEEE. https://doi.org/10.1109/PEDG54999.2022.9923304

Sandelic, Monika ; Sangwongwanich, Ariya ; Peyghami, Saeed et al. / Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning. Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2022. s. 1-6 (IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ).

@inproceedings{5c2335eed22647fca4bbf013586e917a,

title = "Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning",

abstract = "The power electronics system reliability is strongly dependent on the environmental and operating conditions at the installation site. During the reliability modelling, a mission profile-based procedure is traditionally employed to account for this dependency. To accurately estimate the reliability, mission profiles need to include the low resolution time intervals (e.g., several minutes per sample). The main forecasting challenge is the accurate prediction of such profiles for long-term prediction horizons, such as several years ahead. Therefore, in this paper, a mission profile forecasting method suitable for long-term reliability-oriented planning is proposed. The benefit of this method includes multi-year mission profile prediction with high time resolution (i.e., 1 minute per sample) suitable for power electronics reliability studies. A case study reveals that the proposed forecasting method enables power electronics modelling with less than 5% relative error in reliability estimation over different time horizons.",

keywords = "design, long-term forecasting, power electronics, reliability",

author = "Monika Sandelic and Ariya Sangwongwanich and Saeed Peyghami and Frede Blaabjerg",

year = "2022",

month = jun,

doi = "10.1109/PEDG54999.2022.9923304",

language = "English",

isbn = "978-1-6654-6619-6",

series = "IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ",

pages = "1--6",

booktitle = "Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)",

publisher = "IEEE",

address = "United States",

note = "13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), PEDG 2022 ; Conference date: 26-06-2022 Through 29-06-2022",

url = "https://pedg2022.org/",

}

Sandelic, M, Sangwongwanich, A , Peyghami, S & Blaabjerg, F 2022, Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning. i Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)., 9923304, IEEE, IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) , s. 1-6, 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Tyskland, 26/06/2022. https://doi.org/10.1109/PEDG54999.2022.9923304

Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning. / Sandelic, Monika; Sangwongwanich, Ariya ; Peyghami, Saeed et al.
Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2022. s. 1-6 9923304 (IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning

AU - Sandelic, Monika

AU - Sangwongwanich, Ariya

AU - Peyghami, Saeed

AU - Blaabjerg, Frede

PY - 2022/6

Y1 - 2022/6

N2 - The power electronics system reliability is strongly dependent on the environmental and operating conditions at the installation site. During the reliability modelling, a mission profile-based procedure is traditionally employed to account for this dependency. To accurately estimate the reliability, mission profiles need to include the low resolution time intervals (e.g., several minutes per sample). The main forecasting challenge is the accurate prediction of such profiles for long-term prediction horizons, such as several years ahead. Therefore, in this paper, a mission profile forecasting method suitable for long-term reliability-oriented planning is proposed. The benefit of this method includes multi-year mission profile prediction with high time resolution (i.e., 1 minute per sample) suitable for power electronics reliability studies. A case study reveals that the proposed forecasting method enables power electronics modelling with less than 5% relative error in reliability estimation over different time horizons.

AB - The power electronics system reliability is strongly dependent on the environmental and operating conditions at the installation site. During the reliability modelling, a mission profile-based procedure is traditionally employed to account for this dependency. To accurately estimate the reliability, mission profiles need to include the low resolution time intervals (e.g., several minutes per sample). The main forecasting challenge is the accurate prediction of such profiles for long-term prediction horizons, such as several years ahead. Therefore, in this paper, a mission profile forecasting method suitable for long-term reliability-oriented planning is proposed. The benefit of this method includes multi-year mission profile prediction with high time resolution (i.e., 1 minute per sample) suitable for power electronics reliability studies. A case study reveals that the proposed forecasting method enables power electronics modelling with less than 5% relative error in reliability estimation over different time horizons.

KW - design

KW - long-term forecasting

KW - power electronics

KW - reliability

UR - http://www.scopus.com/inward/record.url?scp=85142096570&partnerID=8YFLogxK

U2 - 10.1109/PEDG54999.2022.9923304

DO - 10.1109/PEDG54999.2022.9923304

M3 - Article in proceeding

SN - 978-1-6654-6619-6

T3 - IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

SP - 1

EP - 6

BT - Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

PB - IEEE

T2 - 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022)

Y2 - 26 June 2022 through 29 June 2022

ER -

Sandelic M, Sangwongwanich A , Peyghami S , Blaabjerg F. Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning. I Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE. 2022. s. 1-6. 9923304. (IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ). doi: 10.1109/PEDG54999.2022.9923304

Reliability Modelling of Power Electronics with Mission Profile Forecasting for Long-Term Planning

Abstract

Konference

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Projekter

REPEPS: REliable Power Electronic based Power System

Citationsformater