Regional electric network failure diagnosis method based on five-layer and three-region cause and effect rule network

A technology of fault diagnosis and regional power grid, applied in the direction of measuring electricity, electrical components, measuring electrical variables, etc., can solve problems such as faults, unilateral protection misoperation, misjudgment of normal lines, etc.

Inactive Publication Date: 2011-08-17
SOUTHWEST JIAOTONG UNIV
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  • Abstract
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Problems solved by technology

[0012] In view of the above deficiencies in the prior art, the purpose of the present invention is to provide a regional power grid fault diagnosis method based on a five-layer, three-area causal rule network, so that it over

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  • Regional electric network failure diagnosis method based on five-layer and three-region cause and effect rule network
  • Regional electric network failure diagnosis method based on five-layer and three-region cause and effect rule network
  • Regional electric network failure diagnosis method based on five-layer and three-region cause and effect rule network

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Embodiment Construction

[0032] 1. The construction method of the five-layer three-region causal rule network model

[0033] (1) The model structure of the five-layer three-region causal rule network

[0034] Here, a local power system relay protection network is taken as an example (as attached Figure 4 shown), a five-layer causal rule network model is established for the components L1 and B1, as shown in the attached figure 1 ,2 shown. attached Figure 4 The 28 components in the circuit are bus bars A1~A4, B1~B8; transformers T1~T8; lines L1~L8. L and R in the element represent the left side and the right side of the element respectively. m is the main protection, p is the near backup protection, and s is the far backup protection.

[0035] The network model is vertically divided into five layers: fault element layer, fault candidate cause layer, action condition layer, protection action layer and switch action layer.

[0036] (1) The fault component layer refers to all the components Fi in ...

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Abstract

The invention discloses a regional electric network failure diagnosis method based on five-layer and three-region cause and effect rule network, which can perform backward reasoning for the protection and on-off action information in an SCADA (supervisory control and data acquisition) system for tracing back failure causes, so as to determine the failure element. And forwarding reasoning is performed for the failure causes to detect the protection of false operation and failed operation and on-off aggregation. The five-layer and three-region cause and effect rule network built in the invention has the characteristics of clear structure and explicit physical meaning and can perform graphical expression, so as to have strong intuitionism and to be convenient to easily understand. The judgment of the protection of false operation and failed operation and on-off is simple and fast by the operations of a plurality of aggregations. In the invention, various candidate reasons are mutually restrained by constructing an action condition layer; and the influences of various failure symptoms at the opposite side of a circuit to the side are reflected by constructing a middle diagnosis auxiliary area, so that the accuracy of failure diagnosis at the side is strengthened.

Description

technical field [0001] The invention relates to the field of power grid scheduling and fault analysis, in particular to a power grid fault diagnosis method. Background technique [0002] Power grid fault diagnosis is to use the protection and switch action information in SCADA, combined with the principle of relay protection to identify faulty components and protection and switches that refuse to operate or malfunction. At present, the power system fault diagnosis methods mainly include expert system, Petri net, optimization analysis method, Bayesian network, D-S evidence fusion and so on. However, in some cases, due to the existence of uncertain factors such as protection and switch misoperation, refusal to operate, and information loss, it is difficult to obtain correct diagnosis results by the above-mentioned fault diagnosis method. [0003] Since the causal rule network can accurately reflect the causal relationship between fault components and fault candidate causes, f...

Claims

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Application Information

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IPC IPC(8): G01R31/02H02H7/26
Inventor 童晓阳孙明蔚
Owner SOUTHWEST JIAOTONG UNIV
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