The large-scale integration of renewable energy sources poses significant challenges to the safe and reliable operation of power systems. Current research on system operational reliability primarily focuses on day-ahead optimal scheduling

with limited studies considering the coupling relationship between unit output scheduling decisions and operational reliability in the intra-day scheduling phase. To address this

operational reliability constraints are introduced in intra-day rolling scheduling. Firstly

considering peak-shaving life loss of generating units

establish the unit operational reliability model. Secondly

an intra-day rolling model for operational reliability assessment of power system is developed

with reliability indices calculated based on the incremental impact method. Subsequently

an intra-day rolling scheduling model with operational reliability constraints is formulated

taking into account the coupling characteristics of rolling scheduling and the rapid start-stop and load variation features of fast-acting generating. An iterative method is proposed to expedite the solution process. Finally

a case study analysis is conducted. The simulation results show that the proposed model can consider the impact of peak-shaving life loss of generating units on reliability in optimized scheduling. System operational reliability and economy have been improved.