CN109060039B - Electrical early warning protection method - Google Patents

Electrical early warning protection method Download PDF

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Publication number
CN109060039B
CN109060039B CN201811037244.1A CN201811037244A CN109060039B CN 109060039 B CN109060039 B CN 109060039B CN 201811037244 A CN201811037244 A CN 201811037244A CN 109060039 B CN109060039 B CN 109060039B
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signal
early warning
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electric
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CN109060039A (en
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周逸文
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20Smart grids as enabling technology in buildings sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/242Home appliances
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/124Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/126Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission

Abstract

The invention relates to the field of power systems and discloses an electric early warning protection method, which comprises an electric main loop, a current transformer, a voltage transformer, N non-contact sensors, an electric early warning protection module and a display terminal, wherein the current transformer and the voltage transformer are connected into the electric main loop, the current transformer and the voltage transformer are connected with the electric early warning protection module, the N non-contact sensors are not connected into the electric main loop, the N non-contact sensors are connected with the electric early warning protection module, and the electric early warning protection module is connected with the display terminal. The technical scheme of the invention not only collects signals by the current transformer and the voltage transformer which are connected into the main loop, but also collects signals of electrical equipment and circuits by adopting the non-contact sensor, thereby realizing early warning of defect and fault information, increasing the judgment basis of the existing electrical protection and improving the reliability, selectivity and sensitivity of the electrical protection.

Description

Electrical early warning protection method
Technical Field
The invention relates to the technical field of power systems, in particular to an electric early warning protection method.
Background
In an electric power system, in order to ensure safe operation of electric equipment and circuits, a relay protection technology is required, and the existing relay protection technology is to collect parameters such as current, voltage, waveform and frequency of the electric system, and relay protection gives an alarm or performs fault removal when the electric parameters are abnormal. However, the existing relay protection technology can only react when the electrical parameters are seriously abnormal, and often cannot give people enough time to solve the problem of electrical faults. When relay protection is tripped or is operated by mistake, the power system is powered off; when relay protection fails, power system equipment and lines are damaged and even the system breaks down, so it is desirable to protect as little or no action as possible.
Electrical equipment and lines of an electrical power system are usually early latent defects and faults which are manifested by electrical insulation aging or damage before electrical parameters are abnormal and faulty, and after the electrical equipment and lines of the electrical power system are operated for a period of time, the electrical equipment and lines of the electrical power system generate heat along with the electrical insulation aging, overload and heat generated by electrical load increase or equipment locked-rotor, heat generated by electric leakage or insulation degradation, and the like. Heating means a temperature rise, insulation degradation and insulation aging cause electromagnetic wave changes, causing partial discharge. Early latent defects and faults develop to a certain stage, do not latent, often appear as abnormal electrical parameters, and continue to develop into electrical faults. The existing relay protection technology can not find early latency defects and faults only by collecting parameters such as current, voltage, waveform, frequency and the like. If early latent defects and faults can be found through effective technical measures, early warning can be carried out, defects and fault points can be positioned, and then through planned arrangement, the defects and fault points can be repaired, and electric defects and faults can be eliminated before protective actions.
And secondly, the display operation interface of the existing protection monitoring technology is a liquid crystal display panel, is fixedly installed, has few display contents and is inflexible, and if the display interface can be upgraded to be a mobile terminal (smart phone), the display interface is more friendly, the display is more visual and is more easily accepted by people.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: in order to find early latent defects and faults of electrical insulation ageing or damage and find defects and fault points, the invention provides an electrical early warning protection method.
The technical scheme adopted by the invention is as follows: the utility model provides an electric early warning protection system, includes electric main circuit, current transformer, voltage transformer, N non-contact sensor, electric early warning protection module and display terminal, current transformer and voltage transformer access electric main circuit, electric early warning protection module is connected to current transformer and voltage transformer, N non-contact sensor does not access electric main circuit, N is the natural number that is greater than 1, N non-contact sensor connects electric early warning protection module, electric early warning protection module connects display terminal.
Further, the N non-contact sensors comprise a temperature and humidity infrared sensor, an ultrahigh frequency sensor, an ultrasonic sensor and a video probe.
Further, the temperature and humidity infrared sensor, the ultrahigh frequency sensor, the ultrasonic sensor and the video probe are integrated in a measurement box to form a multi-physical-quantity comprehensive sensor, the measurement box is provided with a 485 serial port or an Ethernet port or a wireless communication module, the measurement box is arranged in a space where electrical equipment and a circuit are located, and the temperature and humidity infrared sensor, the ultrahigh frequency sensor, the ultrasonic sensor and the video probe are connected to the electrical early warning protection module through the 485 serial port or the Ethernet port or the wireless communication module.
Further, the electric early warning protection module comprises a power supply unit, a first signal input unit, a second signal input unit, a first signal conversion unit, a second signal conversion unit, an operation unit, a synchronous clock module, a constant value management unit, an analysis diagnosis unit, a setting unit, a communication unit, a storage unit, a result output unit, a display unit and an early warning alarm and protection action unit, wherein signals of the voltage transformer, signals of the current transformer and external input signals are connected with the first signal input unit, signals of the N non-contact sensors are connected with the second signal input unit, the first signal input unit is connected with the first signal conversion unit, the second signal input unit is connected with the second signal conversion unit, the first signal conversion unit and the second signal conversion unit are connected with the operation unit, the synchronous clock module, the constant value management unit, the analysis diagnosis unit, the setting unit and the communication unit are all connected with the operation unit, the synchronous clock module is connected with the analysis diagnosis unit, the setting unit is connected with the communication unit, the analysis diagnosis unit and the communication unit is connected with the storage unit, and the storage unit and the communication unit is connected with the communication unit, and the result output unit is connected with the early warning alarm and protection action unit; the power supply unit provides working power for the units, and the display unit is used as a human-computer interface to display a map, an image, an output picture and an operation picture.
Furthermore, the display terminal adopts a mobile display terminal and is connected with the electric early warning protection module through a wireless network.
The invention also comprises an electric early warning protection method, which specifically comprises the following steps:
collecting current signals and voltage signals of an electric main loop by adopting a current transformer and a voltage transformer, and transmitting the current signals and the voltage signals to an electric early warning protection module;
collecting signals of electrical equipment and circuits in the power system by using N non-contact sensors, wherein N is a natural number greater than 1, and transmitting the signals to an electrical early warning protection module, and the N non-contact sensors are not connected into an electrical main loop;
the electric early warning protection module establishes a related operation model and calculates signals collected by the current transformer, the voltage transformer and the N non-contact sensors; and carrying out phase synchronization on the output value of the operation model and the environmental data, identifying interference signals, and realizing the positioning and alarming of defects and fault points.
Further, the N non-contact sensors collect temperature and humidity signals, ultrahigh frequency signals, ultrasonic signals and video signals at the same time, and the temperature and humidity signals, the ultrahigh frequency signals, the ultrasonic signals and the video signals are transmitted to the electric early warning protection module through a 485 serial port or an Ethernet port or a wireless communication module.
Further, the positioning and alarming signals are transmitted to the mobile terminal through the wireless network for display.
Compared with the prior art, the beneficial effects of adopting the technical scheme are as follows: according to the technical scheme, the intelligent sensing method of the current transformer, the voltage transformer, the intelligent temperature and humidity infrared sensor, the ultrahigh frequency intelligent sensor, the ultrasonic sensor, the video probe and the like is adopted, and signals of temperature and humidity, sound (vibration, sound and ultrasonic), light, electricity (ultrahigh frequency electromagnetic waves and current pulses) and video and the like of electric equipment and circuits of an electric power system are accessed while current, voltage, waveform and frequency parameters are accessed. Through fusion and information sharing, on the premise of adding the electric defect and fault early warning function and achieving the same function of the existing electric protection technology, the judgment basis of the existing electric protection is added, the operation model of the existing electric protection is perfected, the protection function of the existing electric protection is enhanced, and the reliability, the selectivity and the sensitivity of the electric protection are improved. The operation state and the running state of the apparatus (the operation state of the electric apparatus is observed while operating) can also be monitored by means of the video signal. And the relay protection hardware configuration is utilized, so that the hardware cost is saved, the complexity of the hardware is reduced, and the reliability of an electric early warning protection technology is improved.
In addition, the display operation interface of the existing fixed installation of the electrical protection is a liquid crystal display panel, the display operation interface is updated to a mobile terminal (smart phone) with a built-in special APP, the display operation interface is movable and more friendly, the display operation interface is more visual, besides the map analysis, the real-time video image can be displayed, and the operation is simpler and more convenient.
Drawings
FIG. 1 is a schematic diagram of a discrete electrical early warning protection system for N non-contact sensors according to the present invention.
FIG. 2 is a schematic diagram of the structure of the electrical early warning protection system integrating multiple physical quantities of N non-contact sensors.
Fig. 3 is a schematic structural diagram of the electrical early warning protection module of the present invention.
Fig. 4 is a schematic diagram of an electrical early warning protection process of a current-voltage transformer connected to a main circuit.
Fig. 5 is a schematic diagram of the electrical early warning protection process of N non-contact sensors.
Fig. 6 is a schematic diagram of an application scenario of the electrical early warning protection system of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
The utility model provides an electric early warning protection system, includes electric main circuit, current transformer, voltage transformer, N non-contact sensor, electric early warning protection module and display terminal, current transformer and voltage transformer access electric main circuit, electric early warning protection module is connected to current transformer and voltage transformer, N non-contact sensor does not access electric main circuit, N is the natural number that is greater than 1, N non-contact sensor connects electric early warning protection module, electric early warning protection module connects display terminal. Installing a current transformer and a voltage transformer in the main loop so as to electrically protect and read the electrical operation parameters of the electrical equipment and the circuit, and operating the electrical protection technology according to a mathematical model of the electrical equipment and the circuit, wherein once the parameters are abnormal, the electrical protection technology reaches a protection set value and makes corresponding reactions in time; as shown in fig. 1, the present example not only adopts the current transformer and the voltage transformer (connected to the main circuit) to collect current, voltage, waveform and frequency parameters, but also needs to adopt the intelligent temperature and humidity infrared sensor, the ultra-high frequency intelligent sensor, the ultrasonic sensor, the video probe and the like (which can be combined into a non-contact type multi-physical-quantity integrated sensor), and collects signals such as temperature and humidity, sound (vibration, sound, ultrasonic), light, electricity (ultra-high frequency electromagnetic wave and current pulse) and video of electrical equipment and circuits in the power system, and the signals can be connected in a wired manner or transmitted in a wireless manner, and the sensing technology which does not need to be connected to the main circuit of the electrical system is applied, so that the signals collected by the temperature and humidity infrared sensor, the ultra-high frequency intelligent sensor, the ultrasonic sensor and the video probe can be used for positioning defects and fault points through the processes such as operation, phase synchronization and identification, and the like, and the defect position can be detected in advance while the electrical equipment and the circuits can work normally. As shown in fig. 1, N non-contact sensors may be separately provided; the temperature and humidity infrared sensor, the ultrahigh frequency sensor, the ultrasonic sensor and the video probe are integrated in a measurement box, namely the measurement box is internally provided with a non-contact type multi-physical-quantity integrated sensor, the measurement box is provided with a 485 serial port or an Ethernet port or a wireless communication module, the box is arranged in a space where electrical equipment and a circuit are located, and the non-contact type multi-physical-quantity integrated sensor is connected to an electrical early warning protection module through the 485 serial port or the Ethernet port or the wireless communication module as shown in fig. 2.
Preferably, the N non-contact sensors include a temperature and humidity infrared sensor, an ultrahigh frequency sensor, an ultrasonic sensor and a video probe. The operation state and the running state of the equipment (the operation state of the electrical equipment is observed while the operation) can be monitored by the video probe in real time.
Preferably, as shown in fig. 3, the electrical early warning protection module includes a power supply unit, a first signal input unit, a second signal input unit, a first signal conversion unit, a second signal conversion unit, an operation unit, a synchronous clock module, a constant value management unit, an analysis diagnosis unit, a setting unit, a communication unit, a storage unit, a result output unit, a display unit and an early warning alarm and protection action unit, wherein the signal of the voltage transformer, the signal of the current transformer and an external input signal are connected with the first signal input unit, the signals of the N non-contact sensors are connected with the second signal input unit, the signals of the voltage transformer and the signals of the current transformer are subjected to signal conversion processing through the first signal conversion unit, the converted signals are transmitted to the operation unit, the operation result is stored and transmitted to the result output unit through synchronization, constant value comparison, operation and analysis diagnosis, and the result output unit is connected with the alarm and protection action unit to execute related results. As shown in fig. 4, after the current signal collected by the current transformer and the voltage signal collected by the voltage transformer are converted by the current signal and the voltage signal, the external signal is combined to perform signal interference elimination and filtration, record data a is extracted, data storage (the storage unit further performs data uploading) is performed, the extracted record data is subjected to signal analysis according to the operation model and the protection judging element, the protection fault type is obtained, the protection action trend analysis is performed according to the early warning set value, if the pre-warning set value is not exceeded, the analysis signal is fed back to the operation model, and if the pre-warning set value is exceeded, the protection action is performed. On the other hand, as shown in fig. 5, N non-contact sensor data are collected in real time, environmental data (background value) and monitoring abnormal signals are collected, the abnormal signals and the background value are compared, if there is an abnormality, the abnormal signals and the background value are converted through a second signal conversion unit, signal interference elimination and filtration are performed, recorded data B is extracted (information sharing of the extracted recorded data a and the extracted recorded data B, protection judgment basis is added to the extracted recorded data a, the extracted data recorded B is used as early warning signal comparison basis), data storage (further data uploading is performed by a storage unit), and the extracted recorded data is subjected to signal analysis according to an operation model and defect judgment elements, so that the defect fault type is obtained. The imaging positioning identification and the phase synchronization are carried out through the collected signals, the defect and fault positioning are realized (the defect positioning can be realized through a diagnosis method and defect positioning analysis), and the small defects of the power system can be reflected through the data before the whole power system can not be used completely through N non-contact sensing collected data, so that the operation of the whole power system can not be influenced by the small defects. Therefore, the defect development trend analysis is carried out, the judgment is carried out according to the early warning set value, if the set value is not exceeded, the analysis signal is fed back to the operation model, if the set value is exceeded, the early warning of defects and faults is carried out, and the early warning is carried out for data storage.
Preferably, the display terminal adopts a mobile display terminal and is connected with the electric early warning protection module through a wireless network. The display interface is movable and more friendly, the display is more visual, besides the map analysis, the real-time video image can be displayed, and the operation is simpler and more convenient.
Based on the electric early warning protection system, the invention also comprises an electric early warning protection method, which specifically comprises the following steps:
collecting current signals and voltage signals of an electric main loop by adopting a current transformer and a voltage transformer, and transmitting the current signals and the voltage signals to an electric early warning protection module;
collecting signals of electrical equipment and circuits in the power system by using N non-contact sensors, wherein N is a natural number greater than 1, and transmitting the signals to an electrical early warning protection module, and the N non-contact sensors are not connected into an electrical main loop; the N non-contact sensors cannot have any influence on the main loop;
the electric early warning protection module establishes a related operation model and calculates signals collected by the current transformer, the voltage transformer and the N non-contact sensors; and carrying out phase synchronization on the output value of the operation model and the environmental data, identifying interference signals, and realizing the positioning and alarming of defects and fault points.
Preferably, the N non-contact sensors collect temperature and humidity signals, ultrahigh frequency signals, ultrasonic signals and video signals at the same time, and the temperature and humidity signals, ultrahigh frequency signals, ultrasonic signals and video signals are transmitted to the electric early warning protection module through a 485 serial port or an ethernet port or a wireless communication module. The N non-contact sensors form a non-contact multi-physical-quantity comprehensive sensor, are integrated in a measuring box and are connected to an electric early warning protection module through a circuit.
Wherein, utilize intelligent humiture infrared sensor early warning implementation process: circularly detecting an ambient temperature signal, circularly detecting a temperature rise signal of electrical equipment, and detecting a spatial position of the temperature rise signal; comparing and analyzing the relative temperature difference between the temperature rise signal and the environmental temperature signal, converting the percentage of the temperature difference between two corresponding measuring points and the temperature rise ratio of the temperature rise points, and inputting the percentage into a mathematical model; the conduction load current and the operation voltage data acquired by the electrical protection are combined for comparison, the heating effect of the current and the voltage is utilized to eliminate the temperature rise caused by overload heating caused by the increase of the power load or the equipment locked-rotor, the corresponding faults are transmitted to the electrical early warning protection module, and the electrical thermal protection basis is increased; removing the interference signal; synchronizing the temperature rise time of the temperature rise point and the phase of the space; recording temperature continuous data of the temperature rising point; drawing a continuous temperature rise curve; diagnosing the defect type; analyzing and diagnosing the temperature rising trend; imaging, positioning and identifying; and (5) carrying out early warning by comparing the set abnormal parameters.
Wherein, utilize intelligent humiture infrared sensor's early warning implementation process: circularly detecting an environmental humidity signal, circularly detecting a humidity rising signal of an internal space of electrical equipment, and detecting a maximum condensation space position; comparing and analyzing the relative humidity difference between the humidity rising signal and the environment humidity signal, and inputting converted and analyzed data into a mathematical model; recording humidity rise data; drawing a continuous humidity rising curve; analyzing and diagnosing humidity rising and condensation trend; the humidity rise and condensation trend data is transmitted to the electrical protection, and dehumidification is started by the electrical protection. Judging the defect type (poor connection, damp and insulation defect); imaging, positioning and identifying the condensation position; and early warning is carried out on the abnormal condensation position.
The early warning implementation process of the ultra-high frequency intelligent sensor comprises the following steps: circularly collecting environmental electromagnetic wave signals, and circularly collecting nanosecond current pulses and ultrahigh frequency electromagnetic wave signals of electrical equipment or circuits; comparing and analyzing the environmental electromagnetic wave signal and the current pulse of the collected electrical equipment or line with the electromagnetic wave signal; after finding the abnormal signal, transform the detected signal; the interference is restrained on the changed signals, the detection sensitivity is improved, and the signal-to-noise ratio is increased; eliminating interference sources; external electrostatic interference is eliminated; suppressing continuous periodic narrowband interference of radar, radio broadcasting, and the like; suppressing impulse interference of mobile phones and the like; suppressing white noise interference of electric devices, electronic components, and the like; thereby completing signal filtering; recording data and atlas of the abnormal signals after interference elimination and suppression, extracting and recording data, and storing and uploading the data; meanwhile, sharing certain data with the electrical protection, and adding an electrical protection criterion; after confirming that abnormal current pulses and electromagnetic waves exist, carrying out signal and map analysis, carrying out data processing, and identifying different defect characteristic parameters; judging the relativity of the abnormal signal and the power supply signal according to the phase map characteristics, confirming whether partial discharge exists or not, and judging the defect type; utilizing the time difference (0.33 m/ns) of multi-channel electromagnetic wave and light wave transmission, calculating the time difference on the waveform and the map, and carrying out positioning identification on defects and fault points by using a satellite-like space positioning principle; performing imaging positioning identification on defects and fault points by using a video probe; judging the direction and the phase of a signal source according to the signal amplitude, the rising edge time, the frequency distribution, the waveform characteristics and the reflected wave time, and performing defect positioning analysis; performing phase synchronization of partial discharge points; completing defect positioning; analyzing and diagnosing the development trend of defects and faults; and carrying out defect and fault early warning by comparing the set abnormal parameters.
The implementation process of the early warning by using the ultrasonic sensor comprises the following steps: circularly detecting environmental background ultrasonic signals and circularly measuring ultrasonic signals of different phases of electrical equipment; comparing and analyzing the background ultrasonic signal and ultrasonic signals of different types of measuring electrical equipment; after finding the abnormal signal, transform the detected signal; the interference is restrained on the changed signals, the detection sensitivity is improved, and the signal-to-noise ratio is increased; recording data and atlas of the abnormal signals after interference elimination and suppression, extracting and recording data, and storing and uploading the data; meanwhile, sharing certain data with the electrical protection, and adding an electrical protection criterion; after confirming that the sound with the signal is obviously abnormal, carrying out signal and map analysis according to the amplitude, frequency and bandwidth of the signal, carrying out data processing, and identifying different defect characteristic parameters; judging the relativity of the abnormal signal and the power supply signal according to the phase map characteristics, confirming whether partial discharge exists or not, and judging the defect type; utilizing the ultrasonic transmission time difference (0.33 m/ns) of multiple channels, calculating the time difference on waveforms and maps, and carrying out positioning identification on defects and fault points by using a satellite-like space positioning principle; performing imaging positioning identification on defects and fault points by using a video probe; judging the direction and the phase of a signal source according to the difference, the direction and the position of different phase signals, and carrying out defect positioning analysis; performing phase synchronization of partial discharge points; completing defect positioning; analyzing and diagnosing the development trend of defects and faults; and carrying out defect and fault early warning by comparing the set abnormal parameters.
The implementation process of the early warning by using the video probe comprises the following steps: completing imaging positioning identification; confirming device element information of the temperature rise point; confirming the specific condition of the condensation point of the equipment; confirming defects and fault points when the ultrahigh frequency and ultrasonic signals are abnormal, and performing imaging positioning identification; observing the internal condition of the equipment and the surrounding environment condition of the circuit at any time according to the requirement; observing an action state and an operation state in the operation process of the electrical equipment; the required real-time image frames are acquired.
Preferably, the positioning and alarming signals are transmitted to the mobile terminal for display through a wireless network. The display interface is movable and more friendly, the display is more visual, besides the map analysis, the real-time video image can be displayed, and the operation is simpler and more convenient.
As shown in fig. 6, a plurality of electrical early warning protection systems of the present invention may be disposed in the power system, in each electrical early warning protection system, the current transformer and the voltage transformer collect the current, voltage, waveform and frequency parameters of the main loop, so that the electrical protection reads the electrical operation parameters of the electrical equipment and the circuit, the electrical protection technology performs operation according to the mathematical model thereof, once these parameters are abnormal, the protection set value is reached, and the electrical protection will respond correspondingly in time. On the basis, N non-contact sensors are adopted in each electric early warning protection system to collect signals such as temperature and humidity, sound (vibration, sound and ultrasonic), light, electricity (ultrahigh frequency electromagnetic waves and current pulses) and video in electric equipment and circuits, and the signals can be connected in a wired mode or transmitted in a wireless mode. The acquired signals are transmitted to a data acquisition system (a wired or wireless communication manager or router), the acquired data are uploaded to a network switch and a server, the network switch and the server are connected with an alarm, a Beidou positioning clock receiver, a display terminal, a mobile terminal, a protocol converter, a UPS (uninterrupted power supply) and the like, and an operation model, a calculation current transformer, a voltage transformer and N signals acquired by non-contact sensors are established by utilizing technologies such as artificial intelligence, a blockchain technology, the Internet of things (Internet+), virtual reality and the like and applying big data and a cloud computing platform; and carrying out phase synchronization on the output value of the operation model and the environmental data, identifying interference signals, and realizing the positioning and alarming of defects and fault points.
The judgment basis of the existing electric protection technology is increased by combining the collected signals of temperature and humidity, sound (vibration, sound and ultrasonic), light, electricity (ultra-high frequency electromagnetic wave and current pulse), video and the like of the electric equipment and the circuit, the operation model of the existing electric protection is upgraded and perfected, the protection function of the existing electric protection is enhanced, and the reliability, selectivity and sensitivity of the electric protection are greatly improved.
The collected video signals are combined, so that the internal condition of the equipment and the surrounding environment condition of the circuit can be seen at any time, real-time image pictures can be utilized, and the action state and the running state of the electrical equipment can be observed while the operation is performed.
The current high-tech intelligent sensor sensing technology, wireless ad hoc network technology and multi-sensor information fusion technology are utilized to realize local monitoring and remote automatic early warning of defects and faults of electrical equipment and circuits.
In addition, the existing electric protection fixed installation display operation interface (liquid crystal display panel) is updated to a mobile terminal (smart phone) by utilizing the existing mobile phone technology, the display interface is movable and more friendly, the display is more visual, the real-time video image can be displayed, and the operation is simpler and more convenient.
The invention is not limited to the specific embodiments described above. The invention extends to any novel one, or any novel combination, of the features disclosed in this specification, as well as to any novel one, or any novel combination, of the steps of the method or process disclosed. It is intended that insubstantial changes or modifications from the invention as described herein be covered by the claims below, as viewed by a person skilled in the art, without departing from the true spirit of the invention.

Claims (1)

1. The electric early warning protection method is characterized by adopting an electric early warning protection system which comprises an electric main loop, a current transformer, a voltage transformer, N non-contact sensors, an electric early warning protection module and a display terminal, wherein the current transformer and the voltage transformer are connected into the electric main loop, the current transformer and the voltage transformer are connected with the electric early warning protection module, the N non-contact sensors are not connected into the electric main loop, N is a natural number larger than 1, the N non-contact sensors are connected with the electric early warning protection module, and the electric early warning protection module is connected with the display terminal;
the N non-contact sensors comprise temperature and humidity infrared sensors, ultrahigh frequency sensors, ultrasonic sensors and video probes;
the temperature and humidity infrared sensor, the ultrahigh frequency sensor, the ultrasonic sensor and the video probe are integrated in a measurement box to form a multi-physical-quantity comprehensive sensor, the measurement box is provided with a 485 serial port or an Ethernet port or a wireless communication module, the box is arranged in a space where electrical equipment and circuits are located, and the temperature and humidity infrared sensor, the ultrahigh frequency sensor, the ultrasonic sensor and the video probe are connected to an electrical early warning protection module through the 485 serial port or the Ethernet port or the wireless communication module;
the electric early warning protection module comprises a power supply unit, a first signal input unit, a second signal input unit, a first signal conversion unit, a second signal conversion unit, an operation unit, a synchronous clock module, a constant value management unit, an analysis diagnosis unit, a setting unit, a communication unit, a storage unit, a result output unit, a display unit and an early warning alarm and protection action unit, wherein signals of the voltage transformer, signals of the current transformer and external input signals are connected with the first signal input unit, signals of the N non-contact sensors are connected with the second signal input unit, the first signal input unit is connected with the first signal conversion unit, the second signal input unit is connected with the second signal conversion unit, the first signal conversion unit and the second signal conversion unit are connected with the operation unit, the synchronous clock module, the constant value management unit, the analysis diagnosis unit, the setting unit and the communication unit are all connected with the operation unit, the synchronous clock module is connected with the constant value management unit and then connected with the analysis diagnosis unit, the setting unit is connected with the storage unit, the analysis diagnosis unit and the communication unit is connected with the storage unit, the storage unit and the communication unit is connected with the result output alarm and protection action unit; the power supply unit provides working power for the units, and the display unit is used as a human-computer interface for displaying a map, an image, an output picture and an operation picture;
the display terminal adopts a mobile display terminal and is connected with the electric early warning protection module through a 485 serial port or an Ethernet port or a wireless communication module;
the electric early warning protection method specifically comprises the following steps:
collecting current signals and voltage signals of an electric main loop by adopting a current transformer and a voltage transformer, and transmitting the current signals and the voltage signals to an electric early warning protection module;
collecting signals of electrical equipment and circuits in the power system by using N non-contact sensors, wherein N is a natural number greater than 1, and transmitting the signals to an electrical early warning protection module, and the N non-contact sensors are not connected into an electrical main loop;
the electric early warning protection module establishes a related operation model and calculates signals collected by the current transformer, the voltage transformer and the N non-contact sensors; carrying out phase synchronization on the output value of the operation model and the environmental data, identifying interference signals, and realizing the positioning and alarming of defects and fault points;
the N non-contact sensors collect temperature and humidity signals, ultrahigh frequency signals, ultrasonic signals and video signals at the same time, and the temperature and humidity signals, the ultrahigh frequency signals, the ultrasonic signals and the video signals are transmitted to the electric early warning protection module through a 485 serial port or an Ethernet port or a wireless communication module;
the positioning and alarming signals are transmitted to the mobile terminal through a wireless network for display;
the implementation process of the intelligent humiture infrared sensor early warning comprises the following steps: circularly detecting an ambient temperature signal, circularly detecting a temperature rise signal of electrical equipment, and detecting a spatial position of the temperature rise signal; comparing and analyzing the relative temperature difference between the temperature rise signal and the environmental temperature signal, converting the percentage of the temperature difference between two corresponding measuring points and the temperature rise ratio of the temperature rise points, and inputting the percentage into a mathematical model; the conduction load current and the operation voltage data acquired by the electrical protection are combined for comparison, the heating effect of the current and the voltage is utilized to eliminate the temperature rise caused by overload heating caused by the increase of the power load or the equipment locked-rotor, the corresponding faults are transmitted to the electrical early warning protection module, and the electrical thermal protection basis is increased; removing the interference signal; synchronizing the temperature rise time of the temperature rise point and the phase of the space; recording temperature continuous data of the temperature rising point; drawing a continuous temperature rise curve; diagnosing the defect type; analyzing and diagnosing the temperature rising trend; imaging, positioning and identifying; pre-warning is carried out by comparing the set abnormal parameters;
the early warning implementation process by utilizing the ultrahigh frequency intelligent sensor comprises the following steps: the method comprises the steps of circularly collecting environmental electromagnetic wave signals, and circularly collecting electric equipment current pulses or line nanosecond current pulses and ultrahigh frequency electromagnetic wave signals; performing contrast analysis on an environment electromagnetic wave signal, an electrical equipment current pulse or a line nanosecond current pulse and an electromagnetic wave signal; after finding the abnormal signal, transform the detected signal; suppressing interference on the changed signal; eliminating interference sources; external electrostatic interference is eliminated; suppressing continuous periodic narrowband interference; suppressing pulse interference; white noise interference is suppressed; recording data and atlas of the abnormal signals after interference elimination and suppression, extracting and recording data, and storing and uploading the data; after confirming that abnormal current pulses and electromagnetic waves exist, carrying out signal and map analysis, carrying out data processing, and identifying different defect characteristic parameters; judging the relativity of the abnormal signal and the power supply signal according to the phase map characteristics, confirming whether partial discharge exists or not, and judging the defect type; utilizing the time difference of multi-channel electromagnetic wave and light wave transmission, calculating the time difference on the waveform and the map, and carrying out positioning identification on defects and fault points by using a satellite-like space positioning principle; performing imaging positioning identification on defects and fault points by using a video probe; judging the direction and the phase of a signal source according to the signal amplitude, the rising edge time, the frequency distribution, the waveform characteristics and the reflected wave time, and performing defect positioning analysis; performing phase synchronization of partial discharge points; completing defect positioning; analyzing and diagnosing the development trend of defects and faults; performing defect and fault early warning by comparing the set abnormal parameters;
the implementation process of the early warning by using the ultrasonic sensor comprises the following steps: circularly detecting environmental background ultrasonic signals and circularly measuring ultrasonic signals of different phases of electrical equipment; comparing and analyzing the background ultrasonic signal and ultrasonic signals of different types of measuring electrical equipment; after finding the abnormal signal, transform the detected signal; suppressing interference on the changed signal; recording data and atlas of the abnormal signals after interference elimination and suppression, extracting and recording data, and storing and uploading the data; after confirming that the sound with the signal is obviously abnormal, carrying out signal and map analysis according to the amplitude, frequency and bandwidth of the signal, carrying out data processing, and identifying different defect characteristic parameters; judging the relativity of the abnormal signal and the power supply signal according to the phase map characteristics, confirming whether partial discharge exists or not, and judging the defect type; utilizing the ultrasonic transmission time difference of multiple channels, calculating the time difference on waveforms and maps and the satellite-like space positioning principle to position and identify defects and fault points; performing imaging positioning identification on defects and fault points by using a video probe; judging the direction and the phase of a signal source according to the difference, the direction and the position of different phase signals, and carrying out defect positioning analysis; performing phase synchronization of partial discharge points; completing defect positioning; analyzing and diagnosing the development trend of defects and faults; performing defect and fault early warning by comparing the set abnormal parameters;
the implementation process of the early warning by using the video probe is as follows: completing imaging positioning identification; confirming device element information of the temperature rise point; confirming the specific condition of the condensation point of the equipment; confirming defects and fault points when the ultrahigh frequency and ultrasonic signals are abnormal, and performing imaging positioning identification; observing the internal condition of the equipment and the surrounding environment condition of the circuit; observing an action state and an operation state in the operation process of the electrical equipment; the required real-time image frames are acquired.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN112731086A (en) * 2021-01-19 2021-04-30 国网上海能源互联网研究院有限公司 Method and system for comprehensively inspecting electric power equipment
CN113465902B (en) * 2021-07-30 2023-06-23 国网浙江省电力有限公司绍兴供电公司 Method for diagnosing operation state of secondary circuit of high-voltage current transformer

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5729144A (en) * 1996-12-02 1998-03-17 Cummins; Kenneth L. Systems and methods for determining location of a fault on an electric utility power distribution system
KR20080076328A (en) * 2007-02-15 2008-08-20 주식회사 효성 Electric power appliance remote part discharge diagnosis system and method to use frequency/status spectra
CN101777798A (en) * 2010-02-10 2010-07-14 山东泰开变压器有限公司 Wireless transmission-based transformer online monitoring and manufacturer remote monitoring system
CN102607643A (en) * 2012-01-18 2012-07-25 西安交通大学 Overheat fault diagnosis and early warning system and method for electrical equipment of traction substation of electrified railway
CN104749468A (en) * 2015-03-31 2015-07-01 国家电网公司 GIS fault diagnosis system and method thereof
CN105203929A (en) * 2015-09-08 2015-12-30 武汉大学 Fixed switch cabinet partial discharge online detection device and method
CN206235399U (en) * 2016-11-17 2017-06-09 丽宝大数据股份有限公司 Body-sensing device
KR101865086B1 (en) * 2017-11-15 2018-06-07 (주) 동보파워텍 Fault data analysis, internal abnormality condition monitoring, diagnosis function embedded switchgear with fault monitoring-diagnosis controller
CN108462255A (en) * 2018-04-02 2018-08-28 安徽广祺智能电器股份有限公司 A kind of cable high-voltage ring main unit monitor control system and its implementation
CN208567979U (en) * 2018-09-06 2019-03-01 周逸文 A kind of electrical early warning protection system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7528711B2 (en) * 2005-12-19 2009-05-05 Lawrence Kates Portable monitoring unit
KR101787901B1 (en) * 2016-06-14 2017-11-15 엘에스산전 주식회사 Power equipment diagnostic apparatus

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5729144A (en) * 1996-12-02 1998-03-17 Cummins; Kenneth L. Systems and methods for determining location of a fault on an electric utility power distribution system
KR20080076328A (en) * 2007-02-15 2008-08-20 주식회사 효성 Electric power appliance remote part discharge diagnosis system and method to use frequency/status spectra
CN101777798A (en) * 2010-02-10 2010-07-14 山东泰开变压器有限公司 Wireless transmission-based transformer online monitoring and manufacturer remote monitoring system
CN102607643A (en) * 2012-01-18 2012-07-25 西安交通大学 Overheat fault diagnosis and early warning system and method for electrical equipment of traction substation of electrified railway
CN104749468A (en) * 2015-03-31 2015-07-01 国家电网公司 GIS fault diagnosis system and method thereof
CN105203929A (en) * 2015-09-08 2015-12-30 武汉大学 Fixed switch cabinet partial discharge online detection device and method
CN206235399U (en) * 2016-11-17 2017-06-09 丽宝大数据股份有限公司 Body-sensing device
KR101865086B1 (en) * 2017-11-15 2018-06-07 (주) 동보파워텍 Fault data analysis, internal abnormality condition monitoring, diagnosis function embedded switchgear with fault monitoring-diagnosis controller
CN108462255A (en) * 2018-04-02 2018-08-28 安徽广祺智能电器股份有限公司 A kind of cable high-voltage ring main unit monitor control system and its implementation
CN208567979U (en) * 2018-09-06 2019-03-01 周逸文 A kind of electrical early warning protection system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
GIS局部放电特高频检测方法灵敏度的研究;李晓 等;《高压电器》;20180516;第54卷(第05期);第63-67+73页 *
管理信息系统模式的比较与分析;周逸文 等;《电脑知识与技术》;20050628(第18期);第56-58页 *

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