The invention discloses a comprehensive
energy system multi-time scale optimization scheduling method and
system, and a storage medium. The method comprises the following steps: building an
energy storage side model, an energy conversion side model, an
energy storage side model and a load side model according to a comprehensive
energy system architecture; according to
renewable energy and load day-ahead prediction information, gas purchase price and time-of-use
electricity price, establishing a day-ahead optimization model by taking the lowest
daily operation cost of the comprehensive
energy system as a target; according to the intra-day
renewable energy and the load day-ahead prediction information, establishing an intra-day
optimal scheduling model with the minimum
system operation costand the minimum start-stop punishment cost of all the units as targets; and according to the real-time prediction information, solving by adopting a distributed
model prediction control algorithm withthe minimum total adjustment amount of
system controllable equipment at the next moment of an intra-day scheduling plan as a target to obtain a final scheduling plan. According to the method, the distributed
model prediction control algorithm is adopted to solve the scheduling model in the implementation stage, the complexity of the model can be reduced, the difficulty of online solving is reduced, and meanwhile the control performance of the system can be considered.