Abstract
Since the size of the power system is getting larger, the power of the transmission and electrical power generation also increase, and the safety operation of the transmission and electrical power is becoming more and more important. This article is intended to study algorithm for reliability and life prediction based on wireless network communication. This paper first studies the energy consumption of wireless network communication, analyzes the maximization of network life, and then evaluates the thermal aging characteristics and life of XLPE cable insulation based on wireless communication. Through model establishment and analysis, when the reliability is below 50%, the reliability of the cable is basically not guaranteed. It is necessary to formulate an update and replacement plan to ensure the safe and stable operation of the power grid.
Highlights
Electricity is the heart of the coal industry
Many coal mining companies often allow cables to run at full load or even overload, which has a great impact on the remaining working life of the cable. ese special effects make the cable generally unable to reach its normal service life. is paper firstly studies the energy consumption of wireless network communication, analyzes the network life maximization problem model, and performs curve fitting on the aging life of the insulated cable
The building model of the reliability of the insulated cable is given, and the thermal aging characteristics and life of the XLPE cable insulation material are evaluated according to wireless communication, and the insulation state of the XLPE cable is evaluated and predicted and reliability is evaluated
Summary
Electricity is the heart of the coal industry. Only a good power supply environment and reliable power quality can lead the strong development of the coal industry. The overvoltage value can be estimated by the steepness of the lightning current, the surge impedance and speed of the cable, and the length of the cable [1] He et al. Wireless Communications and Mobile Computing showed that in order to gain insight into the space charge accumulation in cable accessories, under the AC voltage of 26.1 kV and the temperature of 103°C and 114°C, the 10 kV cross-linked polyethylene (XLPE) insulated cable sample with stress cone was subjected to accelerated aging; the space charge distribution in the cable insulation layer was tested in different aging stages. E model can describe the measured values obtained from the high-voltage equipment in operation [6] These scholars did not combine wireless network communication to predict and analyze the reliability and life of insulated cables. The failure time when the failure probability is 64.1% is used as the aging life of the test piece. e Weibull division method is used for data processing, and the least square analysis method and MATLAB graphical method are used to obtain the Weibull measurement value
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