Fault prejudging method for substation

A substation and fault technology, applied in the field of substation fault prediction, to achieve the effects of long wireless transmission distance, many monitoring nodes, and stable signals

Inactive Publication Date: 2018-03-27
田喜桂
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there have been a large number of connections between things. However, most of these connections are carried by short-distance communication technologies such as Bluetooth and Wi-Fi, but non-operator mobile networks

Method used

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  • Fault prejudging method for substation

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Embodiment

[0020] Such as figure 1 As shown, the fault prediction method for a substation of the present invention includes setting a monitoring node device at a required monitoring point, and the monitoring node device transmits information to the background wirelessly; the monitoring node device includes a circuit breaker, a photoelectric sensor, a control Circuits, NB-IoT node devices, and open circuit monitoring equipment monitor the power status of the power grid and transmit the monitored status information to the control circuit. Photoelectric sensors are used to monitor the discharge and spark conditions that occur near the monitoring point and transmit the information to the control circuit. The control circuit transmits the received information to the NB-IoT node device; the background includes a gateway processing module, which transmits the signal to the NB-IoT routing base station, and the NB-IoT routing base station is connected to the mobile network, and the terminal uses t...

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Abstract

The invention discloses a fault prejudging method for a substation. The method comprises steps: a monitoring node device is arranged at a point position in need of monitoring, and the monitoring nodedevice transmits information to a backstage in a wireless mode, wherein the monitoring node device comprises a broken circuit monitor, a photoelectric sensor, a control circuit, an NB-IoT node deviceand a voltage sensor. The broken circuit monitor monitors an electrifying state; the photoelectric sensor is used for monitoring a discharging condition and an electric spark condition happening nearthe monitoring point; the backstage prejudges the power state according to a voltage change value; being relatively low or high of the voltage explains the power grid state is instable; and the faultposition is judged through comparison between voltage values between the monitoring node positions. In the case of use, a wired line laid for conducting signals is not needed, the characteristic of strong anti-interference performance also avoids influences on the monitored signals by the power device, whether abnormal power cutoff happens to the device can be monitored through the broken circuitmonitor, and the purpose of monitoring is realized.

Description

technical field [0001] The invention relates to a substation fault monitoring method, in particular to a substation fault prediction method. Background technique [0002] The power equipment in the running state is directly detected. The detection does not affect the normal operation of the system, and can directly reflect the status of the equipment in operation. It is more effective, timely and reliable than the offline detection when the operation is stopped. The main difficulty of online detection The reason is that it cannot affect the running state of the equipment. The power equipment runs in the power system and usually works at the rated voltage. The detection system must be reliably isolated from the high-voltage working parts. Applicable sensing methods or judging means are the guarantee for realizing online detection. Various electric and non-electrical sensing methods can be used to detect the state of electric power operation. The monitoring of the state of th...

Claims

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Application Information

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IPC IPC(8): H02J13/00
CPCH02J13/0017H02J13/0075Y04S10/16Y04S40/126Y02E60/00
Inventor 田喜桂
Owner 田喜桂
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