To address the insufficient dispatch feasibility caused by the mismatch between cyber-layer optimization decisions and physical-layer nonlinear responses in a power-steam cogeneration system

a multi-time-scale coordinated optimal dispatch method based on cyber-physical decoupling is proposed. Firstly

a nonlinear mechanism model is established by considering the load rate-temperature coupled efficiency of the proton exchange membrane fuel cell

auxiliary power consumption

start-up hysteresis

thermal inertia of the cooling loop

and the dynamic coefficient of performance of the heat pump. This model is used to describe the response deviation of dispatch commands during physical execution. In the day-ahead stage

forecast data are used as the baseline

and candidate dispatch schemes are generated using conservative parameters and random intensity. The operation regret

energy self-sufficiency rate

and photovoltaic utilization rate are then evaluated using the mechanism model to select the day-ahead baseline dispatch scheme. In the intra-day stage

flexible interval tracking is used to correct real-time source-load fluctuations and physical response deviations in a rolling manner. The results show that ignoring the nonlinear dynamic characteristics of key equipment leads to high-frequency energy storage regulation

unplanned external energy purchase

and photovoltaic curtailment. Compared with the traditional model predictive control strategy

the proposed method reduces the battery aging cost

curtailment penalty

and total operating cost by 54.09%

21.82%

and 4.01%

respectively. In 200 random disturbance scenarios

the median total operating cost is reduced by 5.12%

and the median photovoltaic utilization rate remains at 93.38%. These results verify that considering physical-layer nonlinear responses is necessary for improving dispatch feasibility.