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Electric transmission line icing prediction model based on neural network and fuzzy logic algorithm

A fuzzy logic algorithm and neural network technology, applied in the field of transmission line icing combination prediction model, can solve problems such as bad micro-meteorological conditions and inapplicability of the global model

Inactive Publication Date: 2014-06-11
NANJING INST OF TECH
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Problems solved by technology

However, in the frequent occurrence of ice-covered tower collapses, most of the cases are caused by the severe micro-meteorological conditions in this area, so the global model is not applicable in this area

Method used

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  • Electric transmission line icing prediction model based on neural network and fuzzy logic algorithm
  • Electric transmission line icing prediction model based on neural network and fuzzy logic algorithm
  • Electric transmission line icing prediction model based on neural network and fuzzy logic algorithm

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Embodiment Construction

[0061] The solution of the present invention is: a combination prediction model of transmission line icing based on neural network and fuzzy logic algorithm. Analysis and prediction of micro-meteorological data, including the following steps:

[0062] Such as figure 1 Shown is a transmission line icing prediction model based on neural network and fuzzy logic algorithm, which is characterized in that it includes the following steps:

[0063] S01: Read in the micrometeorological parameters of historical micrometeorological points to form a training sample;

[0064] S02: Determine the parameters of the BP neural network model, and use the data processing formula to continuously correct the weight w of the network ij and threshold θ j ;

[0065] S03: Complete the iterative process of the neural network to obtain the basic component of ice thickness o pi ;

[0066] S04: Read in the location information of the tower, including the altitude, the distance from the water vapor in...

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Abstract

The invention discloses an electric transmission line icing prediction model based on a neural network and a fuzzy logic algorithm. The model comprises the following steps: reading micro meteorological parameters to form a training sample, modifying the weight of a network, introducing a threshold, acquiring the fundamental component of the icing thickness, reading position information of a pole tower, establishing an altitude subordinating degree function and a large area moisture distance subordinating degree function, establishing an error correction subordinating degree function, forming a fuzzy rule bank so as to obtain correction coefficients through defuzzification, and combining the calculation result of the neural network and the fuzzy logic compensation result. The electric transmission line icing prediction model with geographical location information is high in prediction precision when being compared with a conventional global model and a single BP (Back Propagation) neural network, and has a good effect in practical application.

Description

technical field [0001] The invention proposes a combination forecasting model of transmission line icing based on a neural network and a fuzzy logic algorithm, which belongs to the field of power system safety protection. Background technique [0002] As the artery of the power system, the transmission line provides a channel for the collaborative operation between the user's electricity consumption and the power grid, and its important position is beyond doubt. However, due to long-term exposure to the wild, the line not only has natural aging and deterioration problems, but also is a huge carrier of environmental disasters, making it the most vulnerable part of the power system. Especially in winter, lines in some areas are heavily icing, causing faults such as twisted towers, collapsed towers, disconnected lines, etc., which cannot guarantee the sustainability of power supply for users and have a serious impact on production and life. At the same time, it also increases ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02G06N7/02
Inventor 王娇许家浩张惠刚迟翔
Owner NANJING INST OF TECH
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