Multi-agent-based topology identification system and method for fault and outage areas of multi-connection distribution network

Abstract

The invention discloses a multi-linked distribution network fault power-losing area topology identification system and method based on Multi-Agent. The system comprises an outer topology calling Agent, a topology generating Agent and a plurality of inner topology issuing Agents; one inner topology issuing Agent is configured in a distribution terminal of a multi-linked distribution network, and is used for acquiring and issuing topology information and on-off state information configured in the distribution terminal corresponding to the inner topology issuing Agent; both the outer topology calling Agent and the topology generating Agent are configured in a distribution terminal of a fault isolating switch through which fault current does not flow; the outer topology calling Agent is used for calling the topology information and the on-off state information from the inner topology issuing Agent at a specified communication address according to the fault position of the multi-linked distribution network, and transmitting the topology information and the on-off state information to the topology generating Agent; and the topology generating Agent is used for combining all the acquired topology information and finally generating complete non-fault power-losing area topology information.

Description

technical field [0001] The invention belongs to the field of intelligent distributed power feeding automation, and in particular relates to a Multi-Agent-based multi-connection distribution network fault and power-off area topology identification system and method. Background technique [0002] A Multi-Agent System (MAS) is a collection of multiple Agents whose members coordinate and serve each other to complete a task. Its goal is to build large and complex systems into small ones that communicate and coordinate with each other and are easy to manage. The activities among the Agent members are autonomous and independent, and their own goals and behaviors are not restricted by other Agent members. They negotiate and resolve mutual contradictions and conflicts through competition and consultation. The main research purpose of MAS is to solve large-scale and complex problems beyond the ability of individual Agents through an interactive group composed of multiple Agents. [...

AI Technical Summary

Problems solved by technology

[0006] At present, the topological structure methods for identifying non-fault power outage areas all rely on the main power distribution station, which causes the problem of large communication volume and slow speed of generating the topology structure of non-fault power outage areas, which in turn affects the recovery time of multi-connection distribution network faults

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