Details
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 441-446 |
| Number of pages | 6 |
| ISBN (electronic) | 9781728169903 |
| ISBN (print) | 978-1-7281-6989-7, 978-1-7281-6991-0 |
| Publication status | Published - 2020 |
| Event | 11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 - Dubrovnik, Croatia Duration: 28 Sept 2020 → 1 Oct 2020 |
Publication series
| Name | IEEE International Symposium on Power Electronics for Distributed Generation Systems |
|---|---|
| ISSN (Print) | 2329-5759 |
| ISSN (electronic) | 2329-5767 |
Abstract
This paper investigates the stochastic and dynamic changes of wind turbine output power over time at different operating points. In particular, the probability distribution for a theoretical Maximum Power Point Tracking (MPPT) and a state-of-the-art MPPT are compared. These studies can help to evaluate the stability of future grids with a high proportion of wind energy. Furthermore, a reduced model is presented, allowing a time-efficient investigation of the observed phenomena.
Keywords
- Maximum Power Point Tracking, probability distribution, wind energy
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Energy(all)
- Renewable Energy, Sustainability and the Environment
- Engineering(all)
- Electrical and Electronic Engineering
- Mathematics(all)
- Control and Optimization
Sustainable Development Goals
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2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 441-446 9244393 (IEEE International Symposium on Power Electronics for Distributed Generation Systems).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Dynamic Behaviour and Modelling of Variable-Speed Wind Turbines
AU - Himker, Niklas
AU - Wachter, Matthias
AU - Peinke, Joachim
AU - Mertens, Axel
PY - 2020
Y1 - 2020
N2 - This paper investigates the stochastic and dynamic changes of wind turbine output power over time at different operating points. In particular, the probability distribution for a theoretical Maximum Power Point Tracking (MPPT) and a state-of-the-art MPPT are compared. These studies can help to evaluate the stability of future grids with a high proportion of wind energy. Furthermore, a reduced model is presented, allowing a time-efficient investigation of the observed phenomena.
AB - This paper investigates the stochastic and dynamic changes of wind turbine output power over time at different operating points. In particular, the probability distribution for a theoretical Maximum Power Point Tracking (MPPT) and a state-of-the-art MPPT are compared. These studies can help to evaluate the stability of future grids with a high proportion of wind energy. Furthermore, a reduced model is presented, allowing a time-efficient investigation of the observed phenomena.
KW - Maximum Power Point Tracking
KW - probability distribution
KW - wind energy
UR - http://www.scopus.com/inward/record.url?scp=85097565236&partnerID=8YFLogxK
U2 - 10.1109/PEDG48541.2020.9244393
DO - 10.1109/PEDG48541.2020.9244393
M3 - Conference contribution
AN - SCOPUS:85097565236
SN - 978-1-7281-6989-7
SN - 978-1-7281-6991-0
T3 - IEEE International Symposium on Power Electronics for Distributed Generation Systems
SP - 441
EP - 446
BT - 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
Y2 - 28 September 2020 through 1 October 2020
ER -