the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Control-oriented Linear Dynamic Wind Farm Flow and Operation Model
Abstract. The use of dynamic wind farm flow models is beneficial for power reference following wind farm control. However, currently investigated flow models are non-linear and computationally expensive, while common control approaches require fast, linear models. This work presents a novel wind farm operation modelling approach named the Dynamic Flow Predictor. The Dynamic Flow Predictor was developed with the objective to provide predictions of wind speed and turbine power using a computationally effective, linear, dynamic state space model. The model estimates wind turbine aerodynamic interaction using a linearized engineering wake model in combination with a delay process. Simulations of two turbines and eight turbines in SimWindFarm show that the Dynamic Flow Predictor can provide accurate estimates and predictions of wind turbine rotor effective wind speed and power. Additionally, the Dynamic Flow Predictor is computationally effective as it requires only 5 % of the states of a comparable, dynamic 2D CFD model. The presented modelling approach is thus well suited for the use in wind farm control, while it is envisioned that the model can also be useful for wind turbine control and as a virtual wind turbine sensor.
This preprint has been retracted.
-
Retraction notice
This preprint has been retracted.
-
Preprint
(1154 KB)
Interactive discussion
-
RC1: 'Important topic but a paper with crucial short-comings', Anonymous Referee #1, 01 Jun 2018
- AC1: 'All constructive comments discussed and changes incorporated in revised paper', Jonas Kazda, 09 Jun 2018
-
RC2: 'Model and Kalman Filter', Anonymous Referee #2, 15 Jun 2018
- AC2: 'Good Discussion with Minor Revision', Jonas Kazda, 19 Jun 2018
-
RC3: 'Suggestions for contextualization', Anonymous Referee #3, 18 Jun 2018
- AC3: 'Enlarged Contextualisation', Jonas Kazda, 19 Jun 2018
Interactive discussion
-
RC1: 'Important topic but a paper with crucial short-comings', Anonymous Referee #1, 01 Jun 2018
- AC1: 'All constructive comments discussed and changes incorporated in revised paper', Jonas Kazda, 09 Jun 2018
-
RC2: 'Model and Kalman Filter', Anonymous Referee #2, 15 Jun 2018
- AC2: 'Good Discussion with Minor Revision', Jonas Kazda, 19 Jun 2018
-
RC3: 'Suggestions for contextualization', Anonymous Referee #3, 18 Jun 2018
- AC3: 'Enlarged Contextualisation', Jonas Kazda, 19 Jun 2018
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,361 | 348 | 85 | 2,794 | 119 | 107 |
- HTML: 2,361
- PDF: 348
- XML: 85
- Total: 2,794
- BibTeX: 119
- EndNote: 107
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1