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Power distribution cabinet cable joint looseness early warning method based on real-time data acquisition

A real-time data acquisition and cable joint technology, applied in the field of power system, can solve the problems of high risk, inaccurate fault detection, poor real-time performance, etc., achieve the effect of accurate early warning method, reduce economic costs, and reduce the probability of accidents

Pending Publication Date: 2021-04-06
DANDONG ELECTRIC POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing technical solutions for detecting and preventing cable joint loosening faults have many shortcomings such as inaccurate fault detection, poor real-time performance, complicated operation, high cost, and high risk.

Method used

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  • Power distribution cabinet cable joint looseness early warning method based on real-time data acquisition
  • Power distribution cabinet cable joint looseness early warning method based on real-time data acquisition
  • Power distribution cabinet cable joint looseness early warning method based on real-time data acquisition

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Embodiment

[0038] Step 1: Use a variety of sensors to collect electrical parameters that affect the cable loose state and external environmental parameters; the electrical parameter collection mainly includes the contact voltage U of the cable joint 1 , the kth harmonic component U K , the maximum contact current I of the cable joint max , the minimum touch current I of the cable joint min , the voltage amplitude U of the cable joint arc m , short-circuit current I S , line overload time t Ls , line light load time t Lq , load rated output power P′; external environmental parameters are collected by cable joint skin temperature T F , the current ambient temperature T near the cable joint S , air humidity λ, cable external temperature T V ; The temperature T of the inner surface of the distribution cabinet.

[0039]Step 2: Collect the contact voltage, root mean square value of harmonic voltage, maximum contact current value, minimum contact current value, arc voltage amplitude, sh...

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Abstract

The invention relates to a power distribution cabinet cable joint looseness early-warning method based on real-time data acquisition. The method comprises steps that a cable joint looseness early-warning comprehensive judgment expression is built through comprehensive analysis of cable joint looseness accident data and the corresponding relation between online monitoring data and joint fault data in a high-voltage power distribution cabinet; firstly, electrical parameters and external environment parameters influencing the stability of a cable joint are collected, calculated and stored to form a complete cable joint loosening accident data characteristic model; and then the corresponding relationship between the online monitoring data and the joint fault data in the power distribution cabinet is analyzed, the loosening state of the cable joint is judged more accurately, and fault identification is realized.

Description

technical field [0001] The invention belongs to the field of power systems, and relates to a method for predicting cable joint looseness, in particular to a method for early warning of cable joint looseness in a power distribution cabinet based on real-time data collection. Background technique [0002] In the process of production and maintenance, the cable joint is often in a loose running state due to incorrect joint manufacturing process, loose crimping, poor welding, mechanical vibration, electric repulsion, thermal expansion, corrosion and oxidation of the cable joint, etc. This will lead to high-resistance connection failures in the power supply lines, which will reduce the reliability of power supply, unbalance the voltage, reduce the working efficiency of electrical equipment, and affect power transmission. If the fault is not controlled in time, gas discharge phenomena such as spark discharge, glow discharge, and fault arc discharge will occur after long-term overh...

Claims

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/08
Inventor 于鑫周大松张方刘呈昌赵艺董鑫范孟哲王伟阳葛雷杜峰
Owner DANDONG ELECTRIC POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY
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