Research on the Optimization of Power Purchase Economy and Low-carbon Operation in the Agricultural Park

With the concept of carbon neutrality and carbon peaking, low-carbon economic operation has become a hot research topic. As an important link, agricultural park can play a huge role in energy saving and emission reduction. This paper takes an agricultural park in Beijing as an example, establishes the energy flow model of the agricultural park and conducts the related modeling, solves the model with the carbon emission and operation cost of online shopping and foreign electricity as the objective function, and gives the optimal scheduling and execution plan of low-carbon operation of the agricultural park. Among them, partial least square method is used to predict the photovoltaic power, and the improved PSO algorithm is used to solve the low-carbon and economic operation side. The simulation results show that the model can effectively reduce the carbon emission level of power purchase and promote the economic operation of agricultural parks.