Power transmission line icing state assessment method based on information fusion of multiple sensors

A multi-sensor, transmission line technology, applied in the direction of instruments, biological neural network models, data processing applications, etc., can solve the problem of inaccurate measurement technology

Inactive Publication Date: 2015-01-28
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] Due to technical defects and inaccurate measurement techniques, the current on-line icing monitoring technology needs to be continuously improved to improve the accuracy of assessment. Studie

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  • Power transmission line icing state assessment method based on information fusion of multiple sensors
  • Power transmission line icing state assessment method based on information fusion of multiple sensors
  • Power transmission line icing state assessment method based on information fusion of multiple sensors

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Embodiment Construction

[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0045] A method for evaluating the icing status of transmission lines based on multi-sensor information fusion, such as figure 1 As shown, the method includes the following steps:

[0046] 1) Obtain the ambient temperature and relative humidity of the environment, and judge whether the icing condition is met, and if so, perform step 2), wherein the icing condition is:

[0047]

[0048] Where: T is the ambient temperature, is the relative humidity of the environment.

[0049] 2) Obtain the ambient temperature difference ΔT, icing duration F, and icing thickness H, and calculate ...

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Abstract

The invention relates to a power transmission line icing state assessment method based on information fusion of multiple sensors. The method comprises the following steps: (1), obtaining an environment temperature and environment relative humidity, determining whether an icing condition is reached, and if so, executing step (2); (2), obtaining an environment temperature difference, icing duration and an icing thickness, and according to expert experience, calculating icing membership values of the environment temperature difference, an equivalent icing thickness and the icing duration; (3),performing data fusion on each icing membership value by use of a BP nerve network, and respectively calculating an icing-free probability, an icing probability and a severe icing probability; and (4), according to the icing probability, the severe icing probability and the icing duration, outputting an assessment result. Compared to the prior art, the method provided by the invention has the advantages of accurate assessment and the like.

Description

technical field [0001] The invention relates to a power transmission safety technology, in particular to a method for evaluating the icing state of a power transmission line based on multi-sensor information fusion. Background technique [0002] As we all know, among the various natural disasters suffered by the power system, ice disaster is one of the most serious threats. Compared with other accidents, ice disasters caused more serious losses to the power grid, ranging from flashover tripping of power transmission and transformation equipment and damage to hardware, to severe cases of disconnection of overhead lines, collapse of towers, and even paralysis of large-scale regional power grids . During ice disasters, traffic is blocked, communication is interrupted due to bad weather, ice and snow cover mountains, and it is extremely difficult to repair power, which often causes long-term power outages on the power grid, causing serious losses to industrial and agricultural ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N3/02
Inventor 姚金明杨俊杰王向文王恩来樊如森余鲲任堂正谭志强邓集瀚杜小敏宋涛
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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