Participation of wind power in frequency regulation is a crucial means to ensure the safety and stability of power system. Comprehensive evaluation of the stable response effectiveness of wind power frequency regulation control system is of great significance for resource allocation and strategy optimization. Firstly, response models for virtual inertia control (VIC) and primary frequency regulation (PFR) of wind power are constructed. Subsequently, evaluation indicators for stable response effectiveness are established from three dimensions: action device consistency, action quantity consistency and frequency deviation degree (FDD). These indicators comprehensively reflect the response effectiveness of VIC and PFR. Finally, based on case studies and using the proposed evaluation indicators, incorrectly set control parameters are identified, thereby providing a scientific and reasonable basis for the optimal tuning of wind power frequency regulation control parameters.

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Evaluation Method of Stable Response Effectiveness of Control System for Wind Power Frequency Regulation

  • Jianxin Zhang,
  • Qin Gao,
  • Kexin Li,
  • Jun An,
  • Huanhuan Yang,
  • Yanzhe Cheng,
  • Chunxiao Liu,
  • Yibo Zhou

摘要

Participation of wind power in frequency regulation is a crucial means to ensure the safety and stability of power system. Comprehensive evaluation of the stable response effectiveness of wind power frequency regulation control system is of great significance for resource allocation and strategy optimization. Firstly, response models for virtual inertia control (VIC) and primary frequency regulation (PFR) of wind power are constructed. Subsequently, evaluation indicators for stable response effectiveness are established from three dimensions: action device consistency, action quantity consistency and frequency deviation degree (FDD). These indicators comprehensively reflect the response effectiveness of VIC and PFR. Finally, based on case studies and using the proposed evaluation indicators, incorrectly set control parameters are identified, thereby providing a scientific and reasonable basis for the optimal tuning of wind power frequency regulation control parameters.