CN211123116U

CN211123116U - Partial discharge on-line monitoring system

Info

Publication number: CN211123116U
Application number: CN201921216798.8U
Authority: CN
Inventors: 陈刚
Original assignee: Shanghai Yishang Industrial Development Co ltd
Current assignee: Shanghai Yishang Industrial Development Co ltd
Priority date: 2019-07-31
Filing date: 2019-07-31
Publication date: 2020-07-28
Anticipated expiration: 2029-07-31

Abstract

The utility model discloses a partial discharge on-line monitoring system, including leading monitoring unit IED module, backstage computer, site sensor and power, leading monitoring unit IED module passes through network server, ethernet switch, fiber transceiver and backstage computer communication connection, the data port of site sensor passes through high frequency coaxial cable and the data port electric connection of leading monitoring unit IED module, the power passes through the wire and is connected with leading monitoring unit IED module electric connection, leading monitoring unit IED module comprises signal filtering unit, signal acquisition processing unit, communication module and power supply unit, the utility model discloses can on-line monitoring such as the inside hyperfrequency electromagnetic wave signal that produces because of partial discharge of high-voltage power equipment such as GIS, transformer, cubical switchboard, discover the internal insulation defect of equipment such as GIS, transformer, cubical switchboard early, can effectively prevent accidents.

Description

Partial discharge on-line monitoring system

Technical Field

The utility model relates to a partial discharge detection technical field specifically is a partial discharge on-line monitoring system.

Background

In recent years, with the development of urban power grid construction, the number of substations has increased, and high-voltage power equipment such as GIS, transformers, switch cabinets and the like have also increased. The operating field strength of high-voltage power equipment is very high due to the high operating voltage of the high-voltage power equipment and the extremely limited space in the high-voltage power equipment. On the other hand, the insulation margin in high voltage devices is relatively small, for example, in GIS, the breakdown strength of SF6 gas in GIS devices is expected to reach a rather high level under strictly controlled environmental conditions, but in practice is usually only half as high as expected, or even lower. And when certain defect appears in high-voltage power equipment such as GIS equipment, equipment failure is very easy to occur. The internal failures of equipment such as GIS and transformers are most often insulation failures, and partial discharge is often a precursor and manifestation of insulation failures, and when partial discharge occurs in these high-voltage equipment, conditions affecting insulation performance will occur inside the equipment under the action of electric power, for example, insulation media (SF6, transformer oil, etc.) will generate chemical reaction to decompose, generate corrosive substances, damage the insulation layer or cause temperature rise due to partial discharge, aging of the insulation layer, and the like, and finally cause insulation breakdown. Practice proves that the occurrence of accidents can be effectively avoided by carrying out partial discharge detection.

SUMMERY OF THE UTILITY MODEL

An object of the utility model is to provide a partial discharge on-line monitoring system to solve the problem among the prior art.

In order to achieve the above object, the utility model provides a following technical scheme: the partial discharge online monitoring system comprises a front monitoring unit IED module, a background computer, an on-site sensor and a power supply, wherein the front monitoring unit IED module is in communication connection with the background computer through a network server, an Ethernet switch and an optical fiber transceiver, a data port of the on-site sensor is electrically connected with a data port of the front monitoring unit IED module through a high-frequency coaxial cable, the power supply is electrically connected with the front monitoring unit IED module through a wire, the front monitoring unit IED module comprises a signal filtering unit, a signal acquisition processing unit, a communication module and a power supply unit, the signal filtering unit comprises a fixed gain amplifier, a band-pass filter and a program control amplifier, the signal acquisition processing unit comprises an FPGA signal acquisition scanning processing module and a power frequency signal triggering module, and the power supply unit comprises a system power supply filter, a background computer, a field sensor and a power supply, The AC/DC power switch and the AC/DC power panel.

Preferably, the on-site sensor is composed of an internal/external ultrahigh frequency sensor, a noise sensor and an oil valve type sensor, the internal/external ultrahigh frequency sensor is composed of an ultrahigh frequency non-frequency-to-circularly-polarized antenna and a transmitting circuit, the noise sensor collects interference signals, the oil valve type sensor is specially used for the voltage transformer, and the oil valve type sensor is installed at an oil valve opening of the voltage transformer.

Preferably, after the pre-monitoring unit IED module is in data connection with the background computer, the signal collected by the pre-monitoring unit IED module is judged, analyzed and data stored by using an SQ L database and a human-machine interaction and expert diagnosis system on the background computer.

Preferably, the front monitoring unit IED module filters, amplifies, de-noizes and debugs signals collected by the field sensor, and uploads the debugged signals to the background computer for analysis and judgment through serial port communication or TCP/IP or IEC61850 communication.

Preferably, a magnet is fixedly installed at the bottom of the noise sensor.

Compared with the prior art, the beneficial effects of the utility model are that:

1. the utility model discloses but inside the produced hyperfrequency electromagnetic wave signal of local discharge of high-voltage power equipment such as GIS, transformer, cubical switchboard of on-line monitoring, discover the inside insulation defect of equipment such as GIS, transformer, cubical switchboard as early as possible, and then monitor and aassessment equipment running state, can effectively prevent the emergence of accident, avoid the proruption accident of high-voltage equipment such as GIS, transformer.

2. The utility model discloses a bottom fixed mounting at noise sensor has magnet, utilizes the adsorption efficiency of magnet, can be quick arrange the metal construction surface with noise sensor.

Drawings

The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention, and together with the description serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a schematic diagram of the system structure of the present invention;

fig. 2 is a schematic structural view of the noise sensor of the present invention;

fig. 3 is the structural schematic diagram of the internal/external uhf sensor of the present invention.

In the figure: 1. a front monitoring unit IED module; 2. a background computer; 3. an on-site sensor; 4. a power source; 5. a noise sensor; 6. a magnet; 7. inside/outside ultrahigh frequency sensor.

Detailed Description

The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.

Referring to fig. 1, in an embodiment of the present invention, an online monitoring system for partial discharge includes a front monitoring unit IED module 1, a background computer 2, an on-site sensor 3 and a power supply 4, the front monitoring unit IED module 1 is communicatively connected to the background computer 2 through a network server, an ethernet switch, an optical fiber transceiver, etc., a data port of the on-site sensor 3 is electrically connected to a data port of the front monitoring unit IED module 1 through a high frequency coaxial cable, the power supply 4 is electrically connected to the front monitoring unit IED module 1 through a wire, the front monitoring unit IED module 1 is composed of a signal filtering unit, a signal acquisition processing unit, a communication module and a power supply unit, the signal filtering unit is composed of a fixed gain amplifier, a band pass filter and a program control amplifier, the signal acquisition processing unit is composed of an FPGA signal acquisition scanning processing module and a power frequency signal triggering module, the power supply unit consists of a system power supply filter, an AC/DC power supply switch and an AC/DC power supply board.

Referring to fig. 1 and 3, the field sensor 3 is composed of an internal/external ultrahigh frequency sensor 7, a noise sensor 5 and an oil valve sensor, the internal/external ultrahigh frequency sensor 7 is composed of an ultrahigh frequency non-frequency-to-circularly polarized antenna and a transmitting circuit, the noise sensor collects interference signals, the oil valve sensor is specially used for a transformer, and the oil valve sensor is installed at an oil valve port of the transformer.

Referring to fig. 1, after the front monitoring unit IED module 1 is in data connection with the background computer 2, the SQ L database and the human-computer interaction and expert diagnosis system on the background computer 2 are used to perform judgment analysis and data storage on the signals collected by the front monitoring unit IED module 1.

Referring to fig. 1, after filtering, amplifying, denoising and debugging signals collected by the field sensor 3, the front monitoring unit IED module 1 uploads the debugged signals to the background computer 2 for analysis and judgment through serial port communication or TCP/IP or IEC61850 communication.

Referring to fig. 2, a magnet 6 is fixedly installed at the bottom of the noise sensor 5.

The utility model discloses a theory of operation and use flow: the utility model discloses can on-line monitoring such as GIS, transformer, cubical switchboard high-voltage power equipment inside because the produced hyperfrequency electromagnetic wave signal of partial discharge, discover the inside insulation defect of equipment such as GIS, transformer, cubical switchboard as early as possible, and then monitor and assess the equipment running state, can effectively prevent the emergence of accident, avoid the sudden accident of high-voltage equipment such as GIS, transformer, when monitoring GIS, internal/external hyperfrequency sensor 7 both can install in GIS inside, also can attach to GIS outside; when the transformer is monitored, the oil valve type sensor is generally arranged inside the transformer through an oil drain valve, and a special channel for placing the sensor can be reserved during the production of the transformer.

Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing embodiments, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The utility model provides a partial discharge on-line monitoring system, includes leading monitoring unit IED module (1), backstage computer (2), on-the-spot sensor (3) and power (4), its characterized in that: the front monitoring unit IED module (1) is in communication connection with the background computer (2) through a network server, an Ethernet switch and an optical fiber transceiver, the data port of the on-site sensor (3) is electrically connected with the data port of the IED module (1) of the front monitoring unit through a high-frequency coaxial cable, the power supply (4) is electrically connected with the front monitoring unit IED module (1) through a lead, the front monitoring unit IED module (1) consists of a signal filtering unit, a signal acquisition and processing unit, a communication module and a power supply unit, the signal filtering unit consists of a fixed gain amplifier, a band-pass filter and a program-controlled amplifier, the signal acquisition processing unit consists of an FPGA signal acquisition scanning processing module and a power frequency signal triggering module, the power supply unit consists of a system power supply filter, an AC/DC power supply switch and an AC/DC power supply board.

2. The on-line partial discharge monitoring system as claimed in claim 1, wherein: the on-site sensor (3) is composed of an internal/external ultrahigh frequency sensor (7), a noise sensor (5) and an oil valve type sensor, the internal/external ultrahigh frequency sensor (7) is composed of an ultrahigh frequency non-frequency-to-circular polarized antenna and a transmitting circuit, the noise sensor collects interference signals, the oil valve type sensor is specially used for a transformer, and the oil valve type sensor is installed at an oil valve port of the transformer.

3. The partial discharge online monitoring system according to claim 1, wherein after the pre-monitoring unit IED module (1) is in data connection with the background computer (2), the signals collected by the pre-monitoring unit IED module (1) are judged, analyzed and data stored by using a SQ L database and a man-machine interaction and expert diagnosis system on the background computer (2).

4. The on-line partial discharge monitoring system as claimed in claim 1, wherein: the IED module (1) of the front monitoring unit filters, amplifies, de-noizes and debugs signals collected by the field sensor (3), and uploads the debugged signals to the background computer (2) for analysis and judgment through serial port communication or TCP/IP or IEC61850 communication.

5. The on-line partial discharge monitoring system as claimed in claim 2, wherein: and a magnet (6) is fixedly arranged at the bottom of the noise sensor (5).