Unlike conventional power plants, wind farms typically comprise hundreds of wind turbines and intricate collector systems, which significantly increase the complexity and effort required for modeling. This chapter introduces a vector-variable-based approach for dynamic modeling of large-scale wind farms, incorporating the dynamics of the collector system. By employing vector variables, this method simplifies the wind farm’s numerous components into a model with two primary submodules: the wind generator module and the collector system module. These submodules allow for flexible modeling of any number of wind generators and various collector system topologies while preserving dynamic characteristics and scalability. The model’s accuracy and simulation efficiency are validated by comparisons with an electromagnetic model. Additionally, a detailed wind farm with twenty-five wind generators is modeled using this approach. Comparative analysis with an aggregation model confirms that the proposed model accurately reflects wind farm stability. Moreover, comparison with a model that overlooks collector system dynamics shows that neglecting these dynamics can lead to significant errors and misjudgments of instability modes, especially in sub-synchronous mode analysis.

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Vector-Variable Based Modeling Method for Large-Scale Wind Farm Integrating with VSC-MTDC

  • Wei Yao,
  • Hongyu Zhou,
  • Yongxin Xiong,
  • Jinyu Wen

摘要

Unlike conventional power plants, wind farms typically comprise hundreds of wind turbines and intricate collector systems, which significantly increase the complexity and effort required for modeling. This chapter introduces a vector-variable-based approach for dynamic modeling of large-scale wind farms, incorporating the dynamics of the collector system. By employing vector variables, this method simplifies the wind farm’s numerous components into a model with two primary submodules: the wind generator module and the collector system module. These submodules allow for flexible modeling of any number of wind generators and various collector system topologies while preserving dynamic characteristics and scalability. The model’s accuracy and simulation efficiency are validated by comparisons with an electromagnetic model. Additionally, a detailed wind farm with twenty-five wind generators is modeled using this approach. Comparative analysis with an aggregation model confirms that the proposed model accurately reflects wind farm stability. Moreover, comparison with a model that overlooks collector system dynamics shows that neglecting these dynamics can lead to significant errors and misjudgments of instability modes, especially in sub-synchronous mode analysis.