Distributed intelligent control system based on biology immunity principle

Abstract

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 atask deadlock, thus improving the stability and reliability of the system.

Description

technical field [0001] The present invention relates to a system in the technical field of electric power control, in particular to a distributed intelligent control system based on the principle of biological immunity. Background technique [0002] The development of modern power systems has closely combined modern control theory and intelligent technology, and the realization of these theories and technologies depends on specific equipment and operators. At the same time, the power grid is developing in two completely different directions: one is the interconnection of large power grids and long-distance large-capacity ultra-high voltage, and even UHV AC and DC transmission; the other is the rise of small-capacity, relatively independent micro-grids. Both development directions have some common problems to be solved, such as coordinated control and scheduling, optimal operation and so on. The interconnected power grid should give full play to mutual support and advantages...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies in the prior art, to propose a distributed intelligent control system based on the principle of biological immunity, to overcome the inability of centralized control to meet the real-time requirements of distributed power generation, and the lack of traditional decentralized control based on droop characteristics. Global information, it is difficult to make energy optimization management disadvantages

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