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Multi-agent grid fault diagnosis system and method based on blackboard model

A power grid fault and multi-agent technology, applied in the field of electrical engineering, can solve problems such as distortion and loss of fault information

Active Publication Date: 2016-08-24
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still problems such as loss of fault information and distortion, so it is necessary to continuously improve the information collection and transmission methods

Method used

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  • Multi-agent grid fault diagnosis system and method based on blackboard model
  • Multi-agent grid fault diagnosis system and method based on blackboard model
  • Multi-agent grid fault diagnosis system and method based on blackboard model

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Embodiment Construction

[0042] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0043] A multi-agent grid fault diagnosis system based on blackboard model, such as figure 1 As shown, it includes a first information collection agent, a second information collection agent, an information transmission agent, a fault diagnosis agent, a topology agent, a task planning agent, and a blackboard model sharing platform.

[0044] The task planning agent is used to divide the multi-agent system into the first information collection agent, the second information collection agent, the information transmission agent, the fault diagnosis agent and the topology agent by using the task distribution mechanism based on the contract network.

[0045] In this embodiment, the task allocation mechanism based on the contract network is adopted when multi-agent task allocation is performed. This process can be expressed as a negotiation strategy of "t...

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Abstract

The invention provides a multi-agent grid fault diagnosis system and method based on a blackboard model. A task planning Agent of the system divides a multi-agent system; a first information acquisition Agent acquires relay protection information of a power grid in real time, a second information acquisition Agent acquires circuit breaker information of the power grid in real time, and the information is transmitted to a blackboard model sharing platform; the blackboard model sharing platform determines whether the transmission data of the relay protection information and the circuit breaker information are fault data by setting a switching function, updates the received fault data, and obtains the accurate fault data; an information transmission Agent compares and superimposes the received accurate fault data one by one, and obtains the final fault data; a topology Agent determines the topological structure of a fault region; and a fault diagnostic Agent conducts a fault diagnosis to diagnose faulty elements using a Petri network based on the fault data and the topological structure of the fault region.

Description

Technical field [0001] The invention belongs to the field of electrical engineering, and specifically relates to a multi-agent power grid fault diagnosis system and method based on a blackboard model. Background technique [0002] Electricity, as the backbone resource related to the country's economic development, has gone through many years of development in my country and has gradually integrated with the world and is in a leading position in development. The intelligent development of power grids has become a mainstream trend. But no matter how the power grid progresses and develops, fault diagnosis is inseparable. When the power grid fails, various fault diagnosis techniques become an important means to save economic losses. The subject research of fault diagnosis and fault recovery has an immeasurable effect on the development of power system. At this time, continuous improvement of fault diagnosis technology is required, including accuracy and fault tolerance. [0003] As...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G01R31/08
CPCG01R31/088G06Q10/0635G06Q10/067G06Q50/06Y04S10/50Y04S10/52
Inventor 杨东升贾学涵张化光杨珺会国涛刘鑫蕊毕影娇王伟王蕊
Owner NORTHEASTERN UNIV
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