Abstract:With the large-scale grid integration of renewable energy，issues in renewable energy accommodation，optimization of frequency regulation performance metrics，and joint electricity market clearing have become prominent. A fuzzy analytic hierarchy process is employed to optimize frequency regulation performance metrics， while leveraging diverse storage characteristics for zonal frequency regulation. This establishes a dynamic capacity declaration framework for wind-photovoltaic-storage units participating in the frequency regulation. Case study validation demonstrates that the optimized frequency regulation performance metrics can better differentiate performance variations among generation units，thereby rationally balancing capacity allocation for successful bids in both energy and frequency regulation markets. The proposed model reduces joint clearing costs while enhancing frequency regulation revenues and renewable energy accommodation.