In order to solve the problem of optimizing distributed flexible resources, a distributed flexible resource optimization scheduling model based on regional energy self-balancing architecture is proposed. The regional energy autonomous architecture is analyzed, focusing on the role of edge computing in the architecture, and explaining the basic principles of autonomous scheduling. The basic connotation of flexible resources is analyzed and the basic characteristics of flexible resources are explained. A multi-objective optimization model based on cloud-side distributed power capacity optimization, side-side model cost optimization, and end-side model revenue optimization is proposed, and is solved using the augmented Lagrangian function. Finally, simulation analysis was conducted based on the 39-node model to demonstrate the effectiveness of the model proposed in this article.