Publication

A multi-objective predictive control strategy for enhancing primary frequency support with wind farms

Conference Article

Conference

The Science of Making Torque from Wind (TORQUE)

Edition

2018

Pages

032034

Doc link

http://dx.doi.org/10.1088/1742-6596/1037/3/032034

File

Download the digital copy of the doc pdf document

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 prole, 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.

Categories

automation, control theory, optimisation.

Author keywords

wind farms, predictive control, frequency support

Scientific reference

S. Siniscalchi, M. De Prada, F. Bianchi, C. Ocampo-Martínez and B. De Schutter. A multi-objective predictive control strategy for enhancing primary frequency support with wind farms, 2018 The Science of Making Torque from Wind, 2018, Milano, Italy, Vol 1037 of Journal of Physics: Conference Series, pp. 032034, 2018.