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

An overhead transmission line and trend prediction technology, applied in the field of power system, can solve the problems of difficult power supply and maintenance of electrical components, easy to be interfered by bad weather, limited range, etc., to facilitate inspection and key protection, save resources, and use handy effect

Active Publication Date: 2019-08-16
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-fiber dynamic and static monitoring and trend prediction system and method for overhead transmission line
  • All-fiber dynamic and static monitoring and trend prediction system and method for overhead transmission line
  • All-fiber dynamic and static monitoring and trend prediction system and method for overhead transmission line

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Embodiment 1

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

[0068] Further, the optical fiber sensing probe adopts a fiber sensing probe based on Bragg gratings.

[0069] The quasi-static environmental data includes environmental temp...

Embodiment 2

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

[0138] (1) Temperature data prediction test

[0139] ① Long-term forecast of temperature

[0140] Considering the large amount of data in the long-term period, the temperature data of 5 years are averaged on a daily basis, that is, every 24 data are averaged, which is equivalent to obtaining the long-term daily average temperature data. Use the first 5 / 7 data for model training, and the last 2 / 7 data for testing, that is, training set:test set=5:2. The long-term temperature data takes years as the change cycle, the training set data contains about 3.5 change cycles, and the test set data contains about 1.5 change cycles.

[0141] T...

Embodiment 3

[0154] In the preferred embodiment of the present invention, on the basis of Embodiment 1, the corresponding LSTM model is trained and predicted for the dynamic wind dance data.

[0155] Since the change of the wind dance signal is more random than the slowly changing air temperature and air pressure, the direct use of the ordinary LSTM model for prediction 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 a multi-layer LSTM model, and an iterative prediction method should be used for prediction. Figure 10 The overall framework of the 3-layer LSTM network model is shown. The multi-layer LSTM model adds multiple hidden layers on the basis of the single-layer LSTM model. The next hidden layer uses the output of the previous hidden layer as input, and is connected by a multi-layer network (a 3-layer network is used in this patent), and the model can adapt to Changes to more complex...

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Abstract

The invention discloses an all-fiber dynamic and static monitoring and trend prediction system and method for an overhead transmission line. All-fiber monitoring technology is used to realize multi-parameter monitoring and early warning of the overhead transmission line. All-dimensional continuous space-time online monitoring of quasi-static environment data such as ambient temperature and air pressure of the power line and dynamic parameters such as dynamic wind dance data of the power transmission line is realized. Dynamic and static data are monitored. By using the monitoring data collectedin the early stage and based on an LSTM network model, prediction of environmental change parameters such as air temperature and air pressure and dynamic change parameters such as line galloping canbe realized, meteorological disasters which may occur can be prevented in time, and targeted inspection and key protection can be carried out on abnormal galloping line sections conveniently. The monitoring means is a non-electrical means, the sensor is passive and intrinsically safe, and the system has natural anti-electromagnetic interference and lightning protection capabilities and is suitablefor the field severe environment and extreme complex weather conditions of a long-distance power transmission line.

Description

technical field [0001] The invention belongs to the technical field of 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 power systems is a kind of low frequency (frequency about 0.1Hz to 3Hz), large swing amplitude (swing amplitude is about 5 to 300 times the diameter of the transmission cable), and the load wire swing generated by wind excitation. Phenomenon. This galloping may lead to local short circuit, damage and disconnection of the line, and then cause line tripping, or even a large-scale power outage, resulting in huge economic losses. Therefore, continuous spatiotemporal monitoring of transmission cable galloping is necessary. At present, for the monitoring and early warning of power cable galloping, the commonly used methods mainly include manual inspection, video monitoring ...

Claims

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Application Information

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Patent Type & Authority Applications(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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