Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue

Morten Juelsgaard; Henrik Schiøler; John-Josef Leth

doi:10.3182/20120902-4-FR-2032.00068

Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue

Morten Juelsgaard, Henrik Schiøler, John-Josef Leth

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

9 Citations (Scopus)

656 Downloads (Pure)

Abstract

This work presents a strategy for dispatching production references to the individual turbines in a wind farm, such that an overall production demand for the farm is obeyed, while the fatigue experienced by the turbines is minimized. Using a turbine fatigue model for simulating the aging across the farm, we show that a 17 % reduction of the turbine aging can be obtained compared to a commonly employed industrial dispatcher, without degrading the power demand tracking.

Original language	English
Title of host publication	8th IFAC Symposium on Power Plant and Power System Control
Number of pages	6
Publisher	Elsevier
Publication date	2012
Pages	381-386
ISBN (Print)	978-3-902823-24-3
DOIs	https://doi.org/10.3182/20120902-4-FR-2032.00068
Publication status	Published - 2012
Event	8th IFAC Symposium on Power Plant and Power System Control - Toulouse, France Duration: 2 Sept 2012 → 5 Sept 2012

Conference

Conference	8th IFAC Symposium on Power Plant and Power System Control
Country/Territory	France
City	Toulouse
Period	02/09/2012 → 05/09/2012

Series	I F A C Workshop Series
ISSN	1474-6670

Keywords

Wind farms
Power distribution
Load dispatching
Fatigue minimization
Convex optimisation
Predictive control

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10.3182/20120902-4-FR-2032.00068

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Cite this

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title = "Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue",

abstract = "This work presents a strategy for dispatching production references to the individual turbines in a wind farm, such that an overall production demand for the farm is obeyed, while the fatigue experienced by the turbines is minimized. Using a turbine fatigue model for simulating the aging across the farm, we show that a 17 % reduction of the turbine aging can be obtained compared to a commonly employed industrial dispatcher, without degrading the power demand tracking.",

keywords = "Wind farms, Power distribution, Load dispatching, Fatigue minimization, Convex optimisation, Predictive control",

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language = "English",

isbn = "978-3-902823-24-3",

series = "I F A C Workshop Series",

publisher = "Elsevier",

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booktitle = "8th IFAC Symposium on Power Plant and Power System Control",

address = "United Kingdom",

note = "8th IFAC Symposium on Power Plant and Power System Control ; Conference date: 02-09-2012 Through 05-09-2012",

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Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue. / Juelsgaard, Morten; Schiøler, Henrik ; Leth, John-Josef.
8th IFAC Symposium on Power Plant and Power System Control. Elsevier, 2012. p. 381-386 (I F A C Workshop Series).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Leth, John-Josef

PY - 2012

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N2 - This work presents a strategy for dispatching production references to the individual turbines in a wind farm, such that an overall production demand for the farm is obeyed, while the fatigue experienced by the turbines is minimized. Using a turbine fatigue model for simulating the aging across the farm, we show that a 17 % reduction of the turbine aging can be obtained compared to a commonly employed industrial dispatcher, without degrading the power demand tracking.

AB - This work presents a strategy for dispatching production references to the individual turbines in a wind farm, such that an overall production demand for the farm is obeyed, while the fatigue experienced by the turbines is minimized. Using a turbine fatigue model for simulating the aging across the farm, we show that a 17 % reduction of the turbine aging can be obtained compared to a commonly employed industrial dispatcher, without degrading the power demand tracking.

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KW - Power distribution

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KW - Fatigue minimization

KW - Convex optimisation

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ER -

Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue

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Wind Farm Dispatch Control for Demand Tracking and Minimized Fatigue

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