This invention belongs to the field of power systems and relates to a day-ahead
gas generator scheduling optimization method for power systems. The method includes the following steps: S10, constructing a function with the objective of maximizing the
system's minimum
reserve capacity, minimizing economic costs, and reducing carbon emissions; S20, constructing
natural gas supply constraints for day-ahead gas generators; S30, constructing
power balance constraints between power generation and consumption in the power
system, as well as stability limit constraints to ensure
system operation; S40, constructing start-up and shutdown constraints, ramp-up and ramp-down constraints, and upper and lower output limit constraints for gas generators and
coal-fired generators; S50, based on the objective function and constraints constructed in the above steps, constructing a day-ahead
gas generator scheduling optimization model and solving it through mixed-integer
linear programming to obtain the optimal day-ahead
gas generator scheduling scheme. This invention can optimize the
time distribution of
reserve capacity, has good
engineering applicability, and significantly improves the decision-making efficiency and scientific rigor of day-ahead scheduling plans.