A flame storage combined frequency modulation model predictive control method based on digital twinning

Abstract

The application discloses a firelight energy storage combined frequency modulation model prediction control method based on digital twinning, and relates to the technical field of power system frequency modulation control, wherein the method comprises the following steps: constructing a thermal power-photovoltaic-energy storage combined frequency modulation dynamic model and a system frequency dynamic response overall model; constructing a digital twinning prediction model based on the combined frequency modulation dynamic model, and fusing multi-source data to generate future frequency modulation power demand; then, combining the frequency dynamic response model to construct a combined frequency modulation optimization model, and solving a multi-source power distribution optimal solution; the solution is sent to each system as an instruction, and the running state is fed back to the digital twinning model to realize closed-loop rolling optimization. The application realizes multi-source collaborative robust optimization by explicitly considering the thermal power and energy storage constraints, and solves the problem of insufficient feasibility of frequency modulation strategies.

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