Coordinated multiresource joint peak shaving and frequency regulation scheduling method based on transmission-distribution network collaboration

With the growing integration of renewable energy, power systems face increasing challenges in peak shaving and frequency regulation. Existing methods struggle to balance system security and renewable energy accommodation. This paper proposes a transmission-distribution coordinated, multi-resource joint scheduling approach for peak shaving and frequency regulation. A day-ahead optimization strategy is developed to enhance renewable hosting capacity while incorporating frequency security constraints. Case studies demonstrate the method's effectiveness in reducing costs, improving renewable integration, and strengthening frequency regulation, offering new insights for multi-resource participation in grid flexibility.