Publication

Partitioning approach for large wind farms: Active power control for optimizing power reserve

Conference Article

Conference

IEEE Conference on Decision and Control (CDC)

Edition

57th

Pages

3183-3188

Doc link

https://doi.org/10.1109/CDC.2018.8619052

File

Download the digital copy of the doc pdf document

Abstract

Nowadays, large wind farms are expected to guarantee stability of the electrical grid contributing with ancillary services, such as frequency support. To this end, wind farm controllers must set the power generation of each turbine to compensate generation and demand imbalances. With the aim of optimizing primary frequency support, this paper proposes a partitioning approach to split large wind farms into several disjoint subsets of turbines according to the wake propagations through the wind farm. The partitioning problem is solved as a mixed-integer multi-objective optimization problem stated to maximize the strength of the coupling among the turbines due to the wake effect. Thus, no additional information sharing related to the wake propagations needs to be considered between the subsets. Different control tasks are assigned to the local controller of each subset, such that the total power generated meets the power demanded by the grid while the power reserve for enhancing primary frequency support is maximized. Finally, as an application of the proposed model, a decentralized wind farm control strategy is designed and compared with a centralized approach.

Categories

automation, control theory, optimisation.

Author keywords

wind farms control, predictive control, partitioning of large-scale systems

Scientific reference

S. Siniscalchi, C. Ocampo-Martínez, F. Bianchi, M. De Prada and B. De Schutter. Partitioning approach for large wind farms: Active power control for optimizing power reserve, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3183-3188.