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

S. Siniscalchi-Minna, M. De-Prada-Gil, F. D. Bianchi, C. Ocampo-Martinez, B. De Schutter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)
28 Downloads (Pure)

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 languageEnglish
Title of host publicationJournal of Physics: Conference Series
Subtitle of host publicationThe Science of Making Torque from Wind (TORQUE 2018)
Place of PublicationBristol, UK
PublisherIOP Publishing
Number of pages10
Volume1037
DOIs
Publication statusPublished - 2018
EventTORQUE 2018: The Science of Making Torque from Wind - Milano, Italy
Duration: 20 Jun 201822 Jun 2018
http://www.torque2018.org/

Publication series

NameJournal of Physics: Conference Series
PublisherIOP Publishing Ltd.
ISSN (Print)1742-6588

Conference

ConferenceTORQUE 2018
Abbreviated titleTORQUE 2018
CountryItaly
CityMilano
Period20/06/1822/06/18
Internet address

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