Abstract
Nowadays, wind power plants (WPPs) should be able to dynamically change their power output to meet the power demanded by the transmission system operators. When the wind power generation exceeds the power demand, the WPP works in de-loading operation keeping some power reserve to be delivered into the grid to balance the frequency drop. This paper proposes to cast a model predictive control strategy as a multi-objective optimization problem which regulates the power set-points among the turbines in order to track the power demand profile, to maximize the power reserve, as well as to minimize the power losses in the inter-arrays connecting the wind turbines within the wind farm collection grid. The performance of the proposed control approach was evaluated for a wind farm of 12 turbines using a wind farm simulator to model the dynamic behavior of the wake propagation through the wind farm.
| Original language | English |
|---|---|
| Title of host publication | Journal of Physics: Conference Series |
| Subtitle of host publication | The Science of Making Torque from Wind (TORQUE 2018) |
| Place of Publication | Bristol, UK |
| Publisher | IOP Publishing |
| Number of pages | 10 |
| Volume | 1037 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | TORQUE 2018: The Science of Making Torque from Wind - Milano, Italy Duration: 20 Jun 2018 → 22 Jun 2018 http://www.torque2018.org/ |
Publication series
| Name | Journal of Physics: Conference Series |
|---|---|
| Publisher | IOP Publishing Ltd. |
| ISSN (Print) | 1742-6588 |
Conference
| Conference | TORQUE 2018 |
|---|---|
| Abbreviated title | TORQUE 2018 |
| Country/Territory | Italy |
| City | Milano |
| Period | 20/06/18 → 22/06/18 |
| Internet address |