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Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

Author

Listed:
  • Baohua Zhang

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Weihao Hu

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Peng Hou

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Jin Tan

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Mohsen Soltani

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Zhe Chen

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

Abstract

This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and four Wind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.

Suggested Citation

  • Baohua Zhang & Weihao Hu & Peng Hou & Jin Tan & Mohsen Soltani & Zhe Chen, 2017. "Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm," Energies, MDPI, vol. 10(7), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:856-:d:102856
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    References listed on IDEAS

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    Cited by:

    1. Wang, Ni & Li, Jian & Yu, Xiang & Zhou, Dao & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2020. "Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation," Renewable Energy, Elsevier, vol. 148(C), pages 113-123.
    2. Van-Hai Bui & Akhtar Hussain & Woon-Gyu Lee & Hak-Man Kim, 2019. "Multi-Objective Optimization for Determining Trade-Off between Output Power and Power Fluctuations in Wind Farm System," Energies, MDPI, vol. 12(22), pages 1-18, November.
    3. Luís F. N. Lourenço & Renato M. Monaro & Maurício B. C. Salles & José R. Cardoso & Loïc Quéval, 2018. "Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation," Energies, MDPI, vol. 11(6), pages 1-19, June.
    4. Wang, Ni & Li, Jian & Hu, Weihao & Zhang, Baohua & Huang, Qi & Chen, Zhe, 2019. "Optimal reactive power dispatch of a full-scale converter based wind farm considering loss minimization," Renewable Energy, Elsevier, vol. 139(C), pages 292-301.
    5. Shijia Zhou & Fei Rong & Xiaojie Ning, 2021. "Optimization Control Strategy for Large Doubly-Fed Induction Generator Wind Farm Based on Grouped Wind Turbine," Energies, MDPI, vol. 14(16), pages 1-16, August.
    6. Hesong Cui & Xueping Li & Gongping Wu & Yawei Song & Xiao Liu & Derong Luo, 2021. "MPC Based Coordinated Active and Reactive Power Control Strategy of DFIG Wind Farm with Distributed ESSs," Energies, MDPI, vol. 14(13), pages 1-19, June.

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