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Modeling of wind turbine generators for power system stability studies: A review

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  • He, Xiuqiang
  • Geng, Hua
  • Mu, Gang

Abstract

Wind power generation is making an increasingly significant contribution to global electricity production. The high penetration of wind power greatly affects the stability of modern power systems. Recently, new-type stability has been defined for power systems with high-penetration power electronic interfaced technologies (including wind power generation). Moreover, it has been widely reported that the classical types of stability have been altered significantly because of the extensive use of power electronic interfaced technologies. This great transformation presents new challenges to the modeling of power system dynamic behaviors. In the past two decades, extensive research on wind turbine generator modeling has been carried out both by academia and industry, and fruitful results have been achieved. However, comprehensive surveys on a wide range of modeling needs and the applicability of existing modeling methods to current various types of stability studies have received less attention in the literature. The purpose of this paper is to provide a comprehensive overview on wind turbine generator modeling for various stability studies. Considering the aspects of time scale, disturbance size, stability study methodology, and modeling methodology, a broad classification of models is presented to distinguish the modeling needs in various stability studies. A conceptual modeling framework is established to address how to custom-tailor an appropriate model for specific types of stability studies. Moreover, the achievements made in various aspects of modeling are comprehensively reviewed. A number of unresolved issues are identified, in particular toward the new-type stability studies, and future research trends are also discussed.

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  • He, Xiuqiang & Geng, Hua & Mu, Gang, 2021. "Modeling of wind turbine generators for power system stability studies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:rensus:v:143:y:2021:i:c:s1364032121001593
    DOI: 10.1016/j.rser.2021.110865
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    References listed on IDEAS

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