Application Situation of Distributed Optical Fiber Temperature Measurement Technology in Power System

Abstract

Temperature is an important operating parameter of electrical equipment, electrical equipment operating condition obtained by monitoring the temperature information has become research focus for power system fault prediction and diagnosis[1-. Distributed fiber optic temperature measurement system is a method for real-time measurement of the spatial distribution of temperature field sensing system. The system uses optical time domain reflectometer (OTDR) and laser Raman spectroscopy, amplifies temperature information and processes signal from wavelength division multiplexer and optical detectors, then the temperature information is displayed in real time[4-. Distributed fiber optic temperature measurement technology has several characteristics with insulation, anti-electromagnetic interference, resistance to high voltage, resistance to chemical corrosion, and security[6-. This article outlines the basic power system temperature monitoring content, studies the current distributed optical fiber temperature measurement technology applications in power system and prospects for its development trend.

Application Research on Online Power Cable Temperature Detection via Fiber Optics

“…Raman scattering spectrum signal generated by laser pulse interacting with fiber molecules can be divided into two parts: the low-frequency spectrum lower than the input laser pulse frequency is called Stokes Raman spectrum; The high-frequency spectrum higher than the input laser pulse frequency is called anti-Stokes Raman spectrum [5]. The formula of Stokes Raman scattering spectrum is as follows…”

“…The occurrence of power failure means the occurrence of large-scale power outages, which will have adverse effects on society. In modern life where power supply involves the whole people, the minor impact of power outage is to disturb the public life, and the serious impact may directly cause equipment damage and even casualties [1]. Especially for longdistance power cable lines, due to the differences in heat dissipation conditions such as laying environment, soil thermal resistance, and nearby heat sources, local hot spots often appear in cable lines, resulting in the bottleneck effect of current carrying capacity.…”

Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm

“…The input signal x(n) generates an output signal y(n) via a parameter tunable digital filter, and the signal d(n) is compared with y(n) to obtain a difference signal e(n). The filter parameters are adjusted according to e(n) by an adaptive algorithm, and finally the mean square value of e(n) is minimized [11]. The scheme does not need to know the statistical characteristics of the input signal and noise in advance, and gradually estimates the required statistical characteristics in the process of signal processing, and automatically adjusts its own parameters based on the characteristics to achieve the optimal filtering effect.…”