The invention relates to a distributive intelligent control system based on biological immune theory, pertaining to the technical field of electric control. Each intelligent body in the system is a controlling entity of a distributive power generation system element; the intelligent body consists of a task-sensing module, a behavioral decision-making module, a coordinating and communication module and an output control module. By taking the advantages of distributivity and adaptability of artificial immune algorithm, tasks in the distributive system are deemed as antigens and the intelligent bodies are deemed as cells B which generate antibodies, and the proper intelligent body and a processing proposal are selected automatically to finish the task based on a mechanism that the antibody can identify the antigen and be stimulated by the antigen. During the task processing, the intelligent bodies handle the tasks in a fixed response sequence; the tasks which can not be solved by a single intelligent body will be solved coordinately by other proper intelligent bodies selected by communication. The system is also provided with a self-healing function and an eliminating mechanism for a task deadlock, thus improving the stability and reliability of the system.