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

Conference paper (2018)

Authors

S. Siniscalchi-Minna Universitat Politecnica de Catalunya, Catalonia Institute for Energy Research IREC
M. De-Prada-Gil Catalonia Institute for Energy Research IREC
Fernando D. Bianchi Instituto Balseiro
C. Ocampo-Martinez Universitat Politecnica de Catalunya
Bart De Schutter Team Bart De Schutter - Mechanical, Maritime and Materials Engineering
Research Group
Team Bart De Schutter (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2018 S. Siniscalchi-Minna, M. De-Prada-Gil, F. D. Bianchi, C. Ocampo-Martinez, B.H.K. De Schutter
DOI: https://doi.org/10.1088/1742-6596/1037/3/032034
More Info
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Published Date

2018

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Bart De Schutter

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.