The flexible resource aggregation and complementarity of distributed biomass comprehensive utilization in agricultural and animal husbandry parks are conducive to the large-scale consumption of renewable resources

which helps to alleviate the pressure of agricultural distribution network transformation. However

the temporal production characteristics and load levels of multiple types of agricultural and animal husbandry parks are different

resulting in the high cost of single park expansion and renovation

difficulties in aggregation and complementary control of multiple parks

and difficulty in autonomous management of regional distribution networks. In this context

the paper proposes a autonomous collaborative optimization and scheduling method for zero carbon parks based on distributed clean energy. Firstly

analyze the composition and operational characteristics of the comprehensive energy system in typical agricultural and animal husbandry parks

and establish a collaborative optimization model for multi-agricultural and animal husbandry zero carbon parks based on the natural negative carbon attributes of agricultural and animal husbandry parks

to achieve the dynamic solution of multi-energy flow; Subsequently

a dual layer operation control framework is established that considers the cross-temporal and spatial interconnection and mutual benefit of multiple parks. The upper layer operation objective is used to solve the minimum operating cost of multi-agriculture and animal husbandry zero carbon parks

and the information interaction temporal rolling optimization method is used to cope with the stochastic characteristics of distributed power sources. The lower layer control objective is used to solve the information privacy and operation permission issues between different management entities

ultimately achieving the optimal economic operation between multi-agriculture and animal husbandry zero carbon parks. Finally

the effectiveness of the proposed method in promoting the balance of interests among various park entities and achieving multilateral win-win outcomes was verified through simulation cases.