Enhancing Hierarchical Fault-Tolerant Cooperative Control in Wind Farms: The Application of Model Predictive Control and Control Reallocation

Saeedreza Jadidi, Hamed Badihi, Youmin Zhang

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

1 Sitaatiot (Scopus)
1 Lataukset (Pure)

Abstrakti

Wind farms are gaining popularity worldwide, particularly in offshore locations, and they require reliable wind turbines to produce cost-efficient wind energy. To achieve this goal, there is a need for practical remedies to address issues and enhance the dependability and accessibility of wind turbines and the overall wind farm. This study introduces a hierarchical fault-tolerant cooperative control (FTCC) technique for wind farms. It employs a model predictive control (MPC) strategy at the individual turbine level, coupled with a control reallocation mechanism (CRM) at the farm level. This approach is capable of managing power-loss faults in wind turbines, as substantiated by realistic simulations conducted on an advanced wind farm benchmark model. The proposed solutions are notably efficient and efficacious in the presence of realistic physical fault scenarios.

AlkuperäiskieliEnglanti
Otsikko12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023
KustantajaIEEE
Sivut429-434
Sivumäärä6
ISBN (elektroninen)979-8-3503-3793-8
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Renewable Energy Research and Applications - Oshawa, Kanada
Kesto: 29 elok. 20231 syysk. 2023

Julkaisusarja

NimiIEEE International Conference on Renewable Energy Research and Applications
ISSN (elektroninen)2572-6013

Conference

ConferenceIEEE International Conference on Renewable Energy Research and Applications
Maa/AlueKanada
KaupunkiOshawa
Ajanjakso29/08/231/09/23

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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