All-optical fiber dynamic and static monitoring and trend prediction system and method for overhead transmission lines

An overhead transmission line and trend prediction technology, applied in the field of power system, can solve the problems of limited scope, easy to be disturbed by bad weather, high labor intensity, etc., to achieve the effect of convenient use and resource saving

Active Publication Date: 2022-06-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The manual inspection method is labor-intensive and costly, and there is a big gap between the inspection results and the actual situation
The video monitoring method can obtain the qualitative results of the on-site cable dance, but it is easily disturbed by bad weather, and the scope is limited, so it is not suitable for all-round monitoring
The sensor monitoring method is divided into electrical sensor monitoring and optical sensor monitoring. Various types of electronic sensors are used to collect on-site environmental data such as wind speed, wind direction, pressure, temperature, etc., which can achieve the purpose of real-time quantitative measurement of cable galloping status, but Electrical components are relatively difficult to power and maintain, and are also susceptible to electromagnetic interference from the cables themselves and thunderstorms

Method used

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  • All-optical fiber dynamic and static monitoring and trend prediction system and method for overhead transmission lines
  • All-optical fiber dynamic and static monitoring and trend prediction system and method for overhead transmission lines
  • All-optical fiber dynamic and static monitoring and trend prediction system and method for overhead transmission lines

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Effect test

Embodiment 1

[0067] A preferred embodiment of the present invention provides an all-fiber dynamic and static monitoring and trend prediction system for overhead transmission lines, such as figure 1 As shown, the system includes an optical fiber sensing probe for real-time measurement of static environmental data and a FBG demodulation system connected with the optical fiber sensing probe. It also includes a probe optical cable for real-time monitoring of dynamic wind and dance data of the transmission line, and a probe optical cable connected with the probe optical fiber. The connected P-OTDR demodulation system also includes a processing terminal connected to the signal output end of the FBG demodulation system and the signal output end of the P-OTDR demodulation system, such as a processing terminal such as a computer, and the processing terminal is used for the input quasi-static environment Data and transmission line dynamic wind dance data for analysis, processing and model prediction....

Embodiment 2

[0137] The preferred embodiment of the present invention is based on Embodiment 1, firstly, based on the quasi-static air temperature and air pressure data of the external environment collected by the FBG sensor, the LSTM model is trained, and long-term and short-term predictions are made respectively. The specific test process and results are as follows:

[0138] (1) Prediction test of temperature data

[0139] ① Long-term forecast of temperature

[0140] Considering the large amount of data over a long period of time, the five-year temperature data were averaged on a daily basis, that is, every 24 data were averaged, which was equivalent to obtaining long-term daily average temperature data. The first 5 / 7 data is used for model training, and the last 2 / 7 data is used for testing, that is, training set:test set=5:2. The long-term temperature data takes the year as the change cycle, the training set data contains about 3.5 change cycles, and the test set data contains about ...

Embodiment 3

[0154] The preferred embodiment of the present invention is based on the first embodiment, and for the dynamic wind dance data, the corresponding LSTM model is trained and predicted.

[0155] Due to the strong randomness of the wind dance signal change compared to the slowly and regularly changing temperature and air pressure, the prediction effect of directly using the ordinary LSTM model will not be very good. In order to improve the learning ability of the LSTM model, it can dig deeper information. , for dynamic wind dance data, use multi-layer LSTM model, and iterative prediction method should be used in prediction. Figure 10 The overall framework of the 3-layer LSTM network model is shown. The multi-layer LSTM model adds multiple hidden layers to the single-layer LSTM model, and the next hidden layer uses the output of the previous hidden layer as input. Change more complex input data.

[0156] Considering that the basic variation law of the wind dance signal is a kind...

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Abstract

The invention discloses a system and method for all-optical fiber dynamic and static monitoring and trend prediction of overhead power transmission lines. The all-fiber-optic monitoring technology is used to realize multi-parameter monitoring and early warning of overhead power transmission lines, and to realize quasi-static environmental data such as ambient temperature and air pressure around power lines. All-round continuous spatio-temporal online monitoring of dynamic parameters such as dynamic wind dance data of transmission lines. While monitoring dynamic and static data, the method can realize environmental change parameters such as air temperature and air pressure, line Prediction of dynamic changing parameters such as galloping, timely prevention of possible meteorological disasters, and targeted inspection and key protection of abnormal galloping line sections. The monitoring means are non-electrical means, the sensor is passive and intrinsically safe, and the system has natural anti-electromagnetic interference and anti-lightning strike capabilities, and is suitable for the harsh outdoor environment and extremely complex weather conditions of long-distance transmission lines.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to a system and method for all-fiber dynamic and static monitoring and trend prediction of overhead transmission lines. Background technique [0002] The galloping of overhead transmission cables in the power system is a kind of low frequency (frequency about 0.1Hz to 3Hz), large swing (about 5 to 300 times the diameter of the transmission cable), and the load wire swing generated by wind excitation. Phenomenon. This kind of dancing may lead to partial short-circuit, damage and disconnection of the line, and then cause the line to trip or even a large-scale power outage, resulting in huge economic losses. Therefore, it is necessary to carry out continuous spatiotemporal monitoring of the galloping of transmission cables. At present, for the monitoring and early warning of power cable galloping, the commonly used methods mainly include manual inspection, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G01D5/353G06N3/04G06N3/08
CPCG06Q10/04G06Q10/06393G06Q50/06G01D5/35316G06N3/08G06N3/044G06N3/045
Inventor 吴慧娟肖垚唐波邱浩宇杨明儒路豪阳思琦王超群
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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