To promote the high-proportion consumption of distributed photovoltaic（PV）power and drive the implementation of large-scale power substitution, an optimized scheduling plan based on source-load coordination for agricultural parks has been proposed. Firstly, various types of equipment in the planting and breeding scenarios in the park are modelled in great details and the potential, characteristics,and flexibility of agricultural electrified loads to participate in load regulation are analyzed and clustered. Secondly, a multi-objective optimization model that takes into the consumption rate of distributed PV energy and the operational cost of the equipment are taken into account, as the constraints are on the operation of the equipment and the energy demand of agricultural production. The objective is to carry out coordinated scheduling of the integrated energy system in the park. Finally, a simulation analysis is conducted in a high percentage electricity substitution agricultural park in South China as an example, and the results verify the effectiveness of the proposed method in improving the PV consumption rate, reducing the park’s operating costs, and promoting large-scale electricity substitution.