Power grid recoverability assessment method based on multi-agent technology

A multi-agent, intelligent body technology, applied in the fields of electrical digital data processing, resources, instruments, etc., can solve non-space-time and other problems

Inactive Publication Date: 2017-07-14
NORTHEASTERN UNIV
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Problems solved by technology

Therefore, it is necessary to quantitatively evaluate the recoverability of the power grid after the accident; moreover, the traditional evaluation quantitative methods usually include

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  • Power grid recoverability assessment method based on multi-agent technology
  • Power grid recoverability assessment method based on multi-agent technology
  • Power grid recoverability assessment method based on multi-agent technology

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[0079] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the implementation of the present invention. example, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0080] In the following, combined with the accompanying drawings, taking the power supply interruption in most areas of the area caused by the impact of thunderstorms on the distribution network in area A as an example, the recoverability of the distribution network in this area is evaluated.

[0081] Such as Figure 1-Figure 4 As shown, a method for assessing ...

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Abstract

The invention discloses a power grid recoverability assessment method based on a multi-agent technology. The method comprises the following steps: a dynamic frame model of a multi-agent-based power grid recoverability assessment factor is constructed, wherein the dynamic frame mode at least comprises a recoverability index intelligent agent alliance, a disaster-pregnant environment intelligent agent alliance and a supporting body intelligent agent alliance; and intelligent agent assessment models matching the intelligent agent alliances are established respectively, and the intelligent agent assessment models can input power grid information of a preset monitoring area in advance and repeatedly perform the following process in a determined assessment time interval after a disaster occurs until a power grid of a disaster area back to normal power supply, wherein the process is as follows: disaster data is obtained in real time, recoverability is scored and saved after data abstraction is performed on a current condition of the power grid of the disaster area, and a recovery motion is performed on the power grid of the disaster area through a rule base. Real-time dynamic assessment for recoverability of a dynamic process of failure recovery is achieved.

Description

technical field [0001] The invention belongs to the field of grid evaluation, and in particular relates to a grid recovery evaluation method based on multi-agent technology. Background technique [0002] First of all, the field of power grid assessment mainly includes risk assessment, emergency capacity assessment, robustness, vulnerability assessment and so on. When the power grid fails, the ability to quickly judge the recoverability of the power grid plays an important role in determining the accident level, dispatching personnel and users, and reducing economic losses. Therefore, it is necessary to quantitatively evaluate the recoverability of the power grid after the accident; moreover, the traditional evaluation quantitative methods usually include fuzzy comprehensive evaluation method, analytic hierarchy process, and improved gray level connection method, etc., but these methods can only do static , non-spatiotemporal evaluation. For recoverability evaluation, it is...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/50
CPCG06F30/20G06Q10/0635G06Q50/06
Inventor 刘鑫蕊孙秋野张化光张世宇杨珺王智良王子蕴何雅楠
Owner NORTHEASTERN UNIV
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