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Optimal reactive power dispatch of a full-scale converter based wind farm considering loss minimization

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  • Wang, Ni
  • Li, Jian
  • Hu, Weihao
  • Zhang, Baohua
  • Huang, Qi
  • Chen, Zhe

Abstract

With the development of wind power, wind farms are required to provide reactive power to the power system. For permanent magnet synchronous generator (PMSG) based large wind farms (WF), it may be an economical way to generate reactive power using the power electronic devices inside each wind turbine (WT). In this paper, an optimal reactive power dispatch of PMSG WF is proposed to minimize the power loss. Both the losses inside WTs and the losses of transmission system are all considered. Particle swarm optimization (PSO) algorithm is adopted to find the reactive power references of each WT which makes the total loss of WF minimal. A WF with 25 5 MW PMSG WTs arranged in 5 rows and 5 columns is used in the case study. And two traditional reactive power dispatch strategies are compared comprehensively with the proposed strategy at different scenarios, the results have shown that the proposed strategy obtains lower power loss than the other two traditional strategies in all the studied cases.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:292-301
    DOI: 10.1016/j.renene.2019.02.037
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    References listed on IDEAS

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    1. 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, June.
    2. Merahi, Farid & Berkouk, El Madjid & Mekhilef, Saad, 2014. "New management structure of active and reactive power of a large wind farm based on multilevel converter," Renewable Energy, Elsevier, vol. 68(C), pages 814-828.
    3. Martinez-Rojas, Marcela & Sumper, Andreas & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search," Applied Energy, Elsevier, vol. 88(12), pages 4678-4686.
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    Cited by:

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    5. Song, Dongran & Liu, Junbo & Yang, Jian & Su, Mei & Wang, Yun & Yang, Xuebing & Huang, Lingxiang & Joo, Young Hoon, 2020. "Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization," Energy, Elsevier, vol. 193(C).
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    7. Huang, Zhanghao & Zhang, Yachao & Xie, Shiwei, 2022. "Data-adaptive robust coordinated optimization of dynamic active and reactive power flow in active distribution networks," Renewable Energy, Elsevier, vol. 188(C), pages 164-183.
    8. Jianjun Chen & Weihao Hu & Di Cao & Bin Zhang & Qi Huang & Zhe Chen & Frede Blaabjerg, 2019. "An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach," Energies, MDPI, vol. 12(14), pages 1-15, July.

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