Distributed Model Predictive Control for Active Power Control of Wind Farm

Haoran Zhao, Qiuwei Wu, Claus Nygaard Rasmussen, Qinglai Guo, Hongbin Sun

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Abstract

This paper presents the active power control of a wind farm using the Distributed Model Predictive Controller (D- MPC) via dual decomposition. Different from the conventional centralized wind farm control, multiple objectives such as power reference tracking performance and wind turbine load can be considered to achieve a trade-off between them. Additionally, D- MPC is based on communication among the subsystems. Through the interaction among the neighboring subsystems, the global optimization could be achieved, which significantly reduces the computation burden. It is suitable for the modern large-scale wind farm control.
Original languageEnglish
Title of host publicationProceedings of 2014 ISGT Europe
Number of pages6
PublisherIEEE
Publication date2014
Pages1-6
DOIs
Publication statusPublished - 2014
EventIEEE PES ISGT Europe 2014: 5th IEEE PES Innovative Smart Grid Technologies (ISGT) European 2014 Conference - Istanbul Technical University, Istanbul, Turkey
Duration: 12 Oct 201415 Oct 2014

Conference

ConferenceIEEE PES ISGT Europe 2014
LocationIstanbul Technical University
CountryTurkey
CityIstanbul
Period12/10/201415/10/2014

Bibliographical note

Poster presentation 2014ISGTEU0450

Keywords

  • Active power control
  • D-MPC
  • Dual decomposition
  • Multi-objective
  • Wind farm control

Cite this

Zhao, H., Wu, Q., Rasmussen, C. N., Guo, Q., & Sun, H. (2014). Distributed Model Predictive Control for Active Power Control of Wind Farm. In Proceedings of 2014 ISGT Europe (pp. 1-6). IEEE. https://doi.org/10.1109/ISGTEurope.2014.7028925