Online monitoring method and device of lightning arrester based on internet of thing communication

Abstract

The invention provides an online monitoring method and device of a lightning arrester based on internet of thing communication. The online detection device takes a CPU module as a core, and the CPU module is respectively connected with a sampling module, an ambient temperature detecting module, a power supply module, a liquid crystal display module and a communication module. The online monitoringmethod comprises the following steps: measuring lightning arrester total leakage current; acquiring busbar voltage; performing discrete digitization, Fourier transform and operation on the acquired lightning arrester total leakage current and busbar voltage, obtaining total resistive current in the real-time total leakage current, a resistive current fundamental value and each harmonic value andjudging the failure, the contamination, the dampness or the aging of the lightning arrester in vertical comparison with previous values. The online monitoring method and device provided by the invention have the beneficial effects that the faulty lightning arrester can be discovered and eliminated early, the occurrence of explosion accidents is avoided, the data remote transmission can be performed on the lightning arrester leakage current, a reactive lightning arrester resistive current component and the number of actions, the complexities of manual recording and meter reading are eliminated,and the working efficiency of operation and maintenance personnel is greatly improved.

Description

technical field [0001] The invention relates to an intelligent substation in a power system, in particular to an online monitoring method and device for an arrester based on Internet of Things communication. Background technique [0002] The Internet of Things technology is an important part of the smart grid's perception of external information, and it has broad application prospects in the power system. As the technical core and equipment extension of the smart grid, the smart substation enables the specific application of various key technologies of the Internet of Things. [0003] Metal oxide surge arresters are commonly used equipment in smart power stations to ensure the normal operation of the power system without causing damage. The main principle of this surge arrester (also known as MOA) is to conduct nonlinear regulation through the atmospheric overvoltage or internal overvoltage applied to the equipment, so as to ensure that the voltage applied to the protected ...

AI Technical Summary

Problems solved by technology

[0005] There are two traditional lightning arrester monitoring methods. One is to conduct regular power failure test inspections. This method requires power failure, the added experimental voltage is too low, and the test cycle is long. The equipment needs to be manually moved to the site for inspection. The operation is cumbersome and cannot be real-time. Reflect the insulation condition of the arrester; the second is the continuous power detection method, which records data such as leakage current by connecting the measuring instrument to the ground terminal of the arrester. This method does not consider eliminating factors such as phase-to-phase interference, nor can it accurately select the reference phase and voltage, there are still shortcomings such as the test cycle is too long, and faults cannot be found in time

Therefore, the traditional monitoring method is not only complicated but also consumes manpower and material resources. It cannot timely and accurately reflect the status of the arrester, and cannot meet the current development needs of smart substations.

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