A distribution network self-healing control system and its implementation method

Abstract

The invention discloses a distribution grid self-healing control system which is characterized by comprising an entity Agent, a function Agent, an interface Agent and a translation Agent; the entity Agent comprises two types including an element type and an integration type; the element-type entity Agent is embedded in a controlled apparatus; the interface Agent is embedded in a control terminal; the integration-type entity Agent, the function Agent and the translation Agent are embedded in a server; the entity Agent is connected with other systems by the translation Agent, connected with a scheduler by the interface Agent and used for ensuring the normal running of the controlled apparatus via the processing task of the function Agent. The problems in the development of the distribution grid self-healing control system are solved by adopting the multifunctional intelligent system provided by the invention.

Description

technical field [0001] The invention relates to a multi-agent system framework and an implementation method in the field of power systems, in particular to a distribution network self-healing control system and an implementation method thereof. Background technique [0002] At present, the self-healing control of the distribution network is facing huge challenges: there are many software and hardware devices, and the distribution range is wide. There may be unexpected situations such as equipment failure, system crash, and misoperation during work. The overall analysis and processing data volume is large, and the calculation process is complicated. The computing speed is not ideal, and it is difficult to introduce new technologies, new equipment, and new systems through plug-and-play; the traditional centralized software modeling method is difficult to solve the above problems. The distribution, integration, fault tolerance, autonomy, flexibility and scalability of MAS can s...

AI Technical Summary

Problems solved by technology

[0002] At present, the self-healing control of the distribution network is facing huge challenges: there are many software and hardware devices, and the distribution range is wide. There may be unexpected situations such as equipment failure, system crash, and misoperation during work. The overall analysis and processing data volume is large, and the calculation process is complicated. The computing speed is not ideal, and it is difficult to introduce new technologies, new equipment, and new systems through plug-and-play; the traditional centralized software modeling method is difficult to solve the above problems

The distribution, integration, fault tolerance, autonomy, flexibility and scalability of MAS can solve the difficulties faced by the distribution network self-healing control, but its development involves many knowledge fields and the engineering theory is not mature enough. The idea of ​​centralized control from top to bottom is still prevalent, leading to the decline of the most important autonomy of the Agent, and adversely affecting the integration, fault tolerance, flexibility and scalability of the system

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