According to the problem of increased operating costs of agricultural park systems caused by the participation of thermal power units in deep peak shaving under the large-scale integration of new energy into the grid

it proposes an optimized scheduling method for agricultural park systems that takes into account the sharing of dual benefits.Firstly

it analyzes the peak shaving costs of thermal power units under different peak shaving depths and establishes a system operation model for agricultural parks.Secondly

it constructs an agricultural carbon sink revenue prediction model based on the STIRPAT model and ridge regression

and proposes a dual benefit sharing mechanism considering agricultural carbon sinks and the participation of renewable energy units in Chinese Certified Emission Reduction(CCER).Finally

it transforms the deep peak shaving cost of thermal power units into a linear constraint by using the large M method.With the optimization objective of minimizing the operating cost of the agricultural park system

it constructs a day-before optimal scheduling model for the agricultural park system.The simulation analysis through case studies shows that

compared with only considering the optimal operating cost scheme

using the optimized scheduling strategy proposed it reduces the total operating cost of the system by 39.72% and increases the consumption of new energy by 32.06%.