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Scheduling electric power production at a wind farm

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  • Zhang, Zijun
  • Kusiak, Andrew
  • Song, Zhe

Abstract

We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm with a small world network structure to solve the model. The solution generated by the algorithm defines the operational status of wind turbines for a scheduling horizon selected by a decision maker. Different operational scenarios are constructed based on time series data of electricity price, grid demand, and wind speed. The computational results provide insights into management of a wind farm.

Suggested Citation

  • Zhang, Zijun & Kusiak, Andrew & Song, Zhe, 2013. "Scheduling electric power production at a wind farm," European Journal of Operational Research, Elsevier, vol. 224(1), pages 227-238.
    • Handle: RePEc:eee:ejores:v:224:y:2013:i:1:p:227-238
    DOI: 10.1016/j.ejor.2012.07.043
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    References listed on IDEAS

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    Cited by:

    1. Yürüşen, Nurseda Y. & Rowley, Paul N. & Watson, Simon J. & Melero, Julio J., 2020. "Automated wind turbine maintenance scheduling," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    2. Pliego Marugán, Alberto & García Márquez, Fausto Pedro & Pinar Pérez, Jesús María, 2022. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Billionnet, Alain & Costa, Marie-Christine & Poirion, Pierre-Louis, 2016. "Robust optimal sizing of a hybrid energy stand-alone system," European Journal of Operational Research, Elsevier, vol. 254(2), pages 565-575.
    4. Gahm, Christian & Denz, Florian & Dirr, Martin & Tuma, Axel, 2016. "Energy-efficient scheduling in manufacturing companies: A review and research framework," European Journal of Operational Research, Elsevier, vol. 248(3), pages 744-757.
    5. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    6. Irawan, Chandra Ade & Ouelhadj, Djamila & Jones, Dylan & Stålhane, Magnus & Sperstad, Iver Bakken, 2017. "Optimisation of maintenance routing and scheduling for offshore wind farms," European Journal of Operational Research, Elsevier, vol. 256(1), pages 76-89.
    7. Li, Xiaodong & Ouelhadj, Djamila & Song, Xiang & Jones, Dylan & Wall, Graham & Howell, Kerry E. & Igwe, Paul & Martin, Simon & Song, Dongping & Pertin, Emmanuel, 2016. "A decision support system for strategic maintenance planning in offshore wind farms," Renewable Energy, Elsevier, vol. 99(C), pages 784-799.
    8. Xiaodong Li & Xiang Song & Djamila Ouelhadj, 2023. "A Cost Optimisation Model for Maintenance Planning in Offshore Wind Farms with Wind Speed Dependent Failure Rates," Mathematics, MDPI, vol. 11(13), pages 1-21, June.
    9. Alberto Pliego Marug'an & Fausto Pedro Garc'ia M'arquez & Jes'us Mar'ia Pinar P'erez, 2024. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Papers 2401.08251, arXiv.org.

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