All-Fiber Dynamic And Static Multi-parameter Monitoring And Trend Prediction Method For Power Cable

The widespread use of electric energy has promoted the development of society and brought great convenience to people's lives.The safety of electric power transportation systems has also become increasingly important.Power cables are an important basis for the construction of transmission systems.In order to achieve efficient transportation of electrical energy,cables need to be laid across a variety of terrain and climate zones.Therefore,during operation,it is easily affected by external environment and climate changes such as wind,ice and snow,causing cable dancing and ice coating,threatening the safe operation of the transmission system.The optical fiber sensing system has the advantages of long-distance monitoring,anti-electromagnetic interference,etc.,and can use an optical fiber composite ground wire(OPGW)optical cable of an overhead transmission cable as a sensing unit,which is convenient for multiplexing with an existing transmission system.This thesis combining distributed optical fiber sensing technology with point fiber sensing technology,and mainly carries out the following research work:1.Analyze the status quo and needs of overhead transmission cable dance monitoring.Combined with the basic principle of optical fiber sensing,a power cable full-fiber dynamic and static multi-parameter monitoring system scheme based on P-OTDR-based fiber full-distribution dynamic parameter measurement and FBG-based static parameter measurement is proposed.2.Using the space-time statistical method to visually express the cable monitoring data to find out the abnormal occurrence area;for the signal attenuation problem caused by long-distance sensing,a balanced processing method is proposed,which can realize the quantitative evaluation of the wind dance level;The Fourier transform method implements quantitative analysis of cable galloping frequency and frequency-space statistics of full-space points.3.The trend prediction and law analysis method of all-fiber dynamic and static monitoring parameters based on LSTM is proposed.Based on the model,the quasi-static data such as slowly changing temperature is effectively predicted,and the change law of dynamic wind dance is predicted.To some extent,the time interval of the wind dance is predicted,which lays a foundation for predicting the complex and variedwind dance overall rules of power cables.The above methods have been verified by theoretical analysis and simulation experiments.The results show that the above methods can effectively realize the status monitoring and trend forecasting of power cables.