CN112731010A - Plug-in and artificial intelligence based transformer substation function verification device and method - Google Patents
Plug-in and artificial intelligence based transformer substation function verification device and method Download PDFInfo
- Publication number
- CN112731010A CN112731010A CN202011454431.7A CN202011454431A CN112731010A CN 112731010 A CN112731010 A CN 112731010A CN 202011454431 A CN202011454431 A CN 202011454431A CN 112731010 A CN112731010 A CN 112731010A
- Authority
- CN
- China
- Prior art keywords
- plug
- intelligent
- artificial intelligence
- transformer substation
- sampling signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 38
- 238000012795 verification Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000005070 sampling Methods 0.000 claims abstract description 56
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims description 26
- 230000005540 biological transmission Effects 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 13
- 230000003321 amplification Effects 0.000 claims description 9
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000001360 synchronised effect Effects 0.000 claims description 4
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16576—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing DC or AC voltage with one threshold
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The invention discloses a transformer substation function verification device and a method based on plug-in and artificial intelligence, wherein the verification method comprises the following steps: the intelligent plug-in is built in an artificial intelligence module, the artificial intelligence module comprises an intelligent engine and an intelligent plug-in, and the intelligent plug-in is registered in the intelligent engine through a plug-in manager; the method comprises the steps that an intelligent engine obtains a reference voltage sampling signal of a bus corresponding to a transformer substation, and obtains a voltage sampling signal and a current sampling signal of the transformer substation; and amplifying the acquired sampling signals respectively and sequentially. According to the invention, the working condition of the transformer substation is analyzed and predicted through artificial intelligence, an early warning function is realized, intelligent and remote operation is realized, meanwhile, the traditional complex verification reasoning logic is simplified, the difficulty in realizing the functional verification of the transformer substation is reduced, the intelligent high-precision analysis efficiency is improved, and the expandability and instantiation degree of intelligent warning are expanded.
Description
Technical Field
The invention relates to the technical field of transformer substations, in particular to a plug-in and artificial intelligence based transformer substation function verification device and a method thereof.
Background
At present, an integrated service platform is initially constructed in an intelligent substation marked by IEC61850, functions of unified modeling of total station information, unified acquisition, storage, processing, display, uploading and the like of panoramic information are realized, and the problems of interoperation and information isolated island in the substation are basically solved. In order to support the integration of regulation and control, the application of technologies such as remote browsing of the transformer substation, direct alarm transmission and the like is also in the initial trial application stage. Smart grids are the development trend of the power industry in the world, intelligent application is also the main research direction, and many organizations and individuals inside and outside the power industry are working for five major operation targets of the smart grids.
When traditional manual work is verified to the transformer substation function, although can directly inspect the transformer substation operating mode, some following problems exist: the existing functional hidden dangers cannot be detected and found in real time; the detection frequency is limited by the number of patrolmen, and if the detection frequency is increased, the labor cost is increased; because the real-time verification and inspection cannot be carried out and problems cannot be found, inestimable loss is easily caused; the requirement on the maintainers is high.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a transformer substation function verification device and a transformer substation function verification method based on plug-in and artificial intelligence.
The invention provides a transformer substation function verification device and a method based on plug-in and artificial intelligence, which comprises the following steps:
s1 is set up in an artificial intelligence module, the artificial intelligence module comprises an intelligent engine and an intelligent plug-in, and the intelligent plug-in is registered in the intelligent engine through a plug-in manager;
s2, the intelligent engine acquires a reference voltage sampling signal of a bus corresponding to the transformer substation, and acquires a voltage sampling signal and a current sampling signal of the transformer substation;
s3, amplifying the acquired sampling signals respectively and sequentially;
s4 respectively carrying out A/D conversion on the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal, respectively carrying out fast Fourier transform calculation on the sampling signals obtained after the A/D conversion to obtain corresponding amplitude values, and meanwhile, sending the amplitude values to the intelligent plug-in;
s5, amplifying the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal to a saturation state respectively to generate three paths of synchronous pulse signals, arranging an inference analysis rule in the intelligent plug-in unit, and analyzing and processing the signals through the inference analysis rule;
s6, judging whether the ratio of the amplitude of the reference voltage sampling signal of the transformer substation to the amplitude of the voltage sampling signal of the transformer substation is equal to a preset expected value interval or not, and if not, intelligently alarming due to function loss of the transformer substation.
Preferably, the intelligent plug-in is a structured component, each different business analysis function is packaged into a plug-in, and the function processing among the plug-ins is relatively independent, interacts with the intelligent engine and provides specific business processing services for the intelligent engine.
Preferably, the plug-in manager comprises a plug-in identification interface, a plug-in information interface, an event response interface, a model interface and an output interface, wherein the plug-in identification interface is used for intelligent identification of intelligent plug-ins.
Preferably, the plug-in information interface is used for providing the name, the version number and the resource type information of the intelligent alarm plug-in to the intelligent alarm engine; the event response interface is used for sending and receiving messages among the intelligent plug-in, the intelligent engine and the intelligent plug-in; the model interface is used for the intelligent plug-in to visit the SCADA model and real-time data in the station, and the output interface is used for outputting the analysis result of the intelligent plug-in to the display module.
Preferably, the artificial intelligence module comprises a central processing unit, a signal amplification unit, a circuit protection unit, a communication transmission unit and a cloud computing unit.
Preferably, the central processing unit comprises a central processing chip for processing the feedback signal, the signal amplification unit amplifies the detection signal, the circuit protection unit protection circuit works normally, the communication transmission unit comprises an intelligent gateway, the communication transmission unit is connected with the internet and uploads the cloud computing unit, and meanwhile, the communication transmission unit can receive an instruction sent by the cloud computing unit.
The utility model provides a transformer substation function verification device based on plug-in components formula and artificial intelligence, includes the above-mentioned worker intelligence module, artificial intelligence module includes intelligent engine and intelligent plug-in components, and artificial intelligence module includes central processing unit, signal amplification unit, circuit protection unit, communication transmission unit and high in the clouds computational element.
According to the plug-in and artificial intelligence based transformer substation function verification device and method, the working conditions of the transformer substation are analyzed and predicted through artificial intelligence, an early warning function is achieved, intelligent and remote operation is achieved, meanwhile, the previous complex verification reasoning logic is simplified, the difficulty in achieving transformer substation function verification is reduced, the intelligent high-precision analysis efficiency is improved, and the expandability and instantiation degree of intelligent warning are expanded.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.
A transformer substation function verification device and method based on plug-in and artificial intelligence comprises the following steps:
s1 is set up in an artificial intelligence module, the artificial intelligence module comprises an intelligent engine and an intelligent plug-in, and the intelligent plug-in is registered in the intelligent engine through a plug-in manager;
s2, the intelligent engine acquires a reference voltage sampling signal of a bus corresponding to the transformer substation, and acquires a voltage sampling signal and a current sampling signal of the transformer substation;
s3, amplifying the acquired sampling signals respectively and sequentially;
s4 respectively carrying out A/D conversion on the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal, respectively carrying out fast Fourier transform calculation on the sampling signals obtained after the A/D conversion to obtain corresponding amplitude values, and meanwhile, sending the amplitude values to the intelligent plug-in;
s5, amplifying the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal to a saturation state respectively to generate three paths of synchronous pulse signals, arranging an inference analysis rule in the intelligent plug-in unit, and analyzing and processing the signals through the inference analysis rule;
s6, judging whether the ratio of the amplitude of the reference voltage sampling signal of the transformer substation to the amplitude of the voltage sampling signal of the transformer substation is equal to a preset expected value interval or not, and if not, intelligently alarming due to function loss of the transformer substation.
In the invention, the intelligent plug-in is a structured component, each different business analysis function is packaged into a plug-in, the function processing among the plug-ins is relatively independent, and the plug-ins interact with the intelligent engine and provide specific business processing service for the intelligent engine.
The plug-in manager comprises a plug-in identification interface, a plug-in information interface, an event response interface, a model interface and an output interface, wherein the plug-in identification interface is used for intelligently identifying intelligent plug-ins.
In the invention, the plug-in information interface is used for providing the name, the version number and the resource type information of the intelligent alarm plug-in to an intelligent alarm engine; the event response interface is used for sending and receiving messages among the intelligent plug-in, the intelligent engine and the intelligent plug-in; the model interface is used for the intelligent plug-in to visit the SCADA model and real-time data in the station, and the output interface is used for outputting the analysis result of the intelligent plug-in to the display module.
In the invention, the artificial intelligence module comprises a central processing unit, a signal amplification unit, a circuit protection unit, a communication transmission unit and a cloud computing unit.
In the invention, the central processing unit comprises a central processing chip for processing the feedback signal, the signal amplification unit amplifies the detection signal, the circuit protection unit protects the normal operation of the circuit, the communication transmission unit comprises an intelligent gateway, and the communication transmission unit is connected with the network and uploads the cloud computing unit and can receive the instruction sent by the cloud computing unit.
The utility model provides a transformer substation function verification device based on plug-in components formula and artificial intelligence, includes the above-mentioned worker intelligence module, artificial intelligence module includes intelligent engine and intelligent plug-in components, and artificial intelligence module includes central processing unit, signal amplification unit, circuit protection unit, communication transmission unit and high in the clouds computational element.
The invention comprises the following steps: the intelligent plug-in is built in an artificial intelligence module, the artificial intelligence module comprises an intelligent engine and an intelligent plug-in, and the intelligent plug-in is registered in the intelligent engine through a plug-in manager; the method comprises the steps that an intelligent engine obtains a reference voltage sampling signal of a bus corresponding to a transformer substation, and obtains a voltage sampling signal and a current sampling signal of the transformer substation; amplifying the obtained sampling signals respectively and sequentially; respectively carrying out A/D conversion on the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal, respectively carrying out fast Fourier transform calculation on the sampling signals obtained after the A/D conversion to obtain corresponding amplitude values, and simultaneously sending the amplitude values to the intelligent plug-in; amplifying the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal to a saturation state respectively to generate three paths of synchronous pulse signals, arranging an inference analysis rule in the intelligent plug-in unit, and analyzing and processing the signals through the inference analysis rule; and judging whether the ratio of the amplitude of the reference voltage sampling signal of the transformer substation to the amplitude of the voltage sampling signal of the transformer substation is equal to a preset expected value interval or not, and if not, intelligently alarming due to function loss of the transformer substation.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A transformer substation function verification method based on plug-in and artificial intelligence is characterized by comprising the following steps:
s1 is set up in an artificial intelligence module, the artificial intelligence module comprises an intelligent engine and an intelligent plug-in, and the intelligent plug-in is registered in the intelligent engine through a plug-in manager;
s2, the intelligent engine acquires a reference voltage sampling signal of a bus corresponding to the transformer substation, and acquires a voltage sampling signal and a current sampling signal of the transformer substation;
s3, amplifying the acquired sampling signals respectively and sequentially;
s4 respectively carrying out A/D conversion on the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal, respectively carrying out fast Fourier transform calculation on the sampling signals obtained after the A/D conversion to obtain corresponding amplitude values, and meanwhile, sending the amplitude values to the intelligent plug-in;
s5, amplifying the amplified reference voltage sampling signal, the voltage sampling signal of the transformer substation and the current sampling signal to a saturation state respectively to generate three paths of synchronous pulse signals, arranging an inference analysis rule in the intelligent plug-in unit, and analyzing and processing the signals through the inference analysis rule;
s6, judging whether the ratio of the amplitude of the reference voltage sampling signal of the transformer substation to the amplitude of the voltage sampling signal of the transformer substation is equal to a preset expected value interval or not, and if not, intelligently alarming due to function loss of the transformer substation.
2. The plug-in and artificial intelligence based substation function verification method according to claim 1, wherein the intelligent plug-in is a structured component, each different business analysis function is packaged into a plug-in, and function processing among the plug-ins is relatively independent, interacts with an intelligent engine and provides specific business processing services for the intelligent engine.
3. The plug-in and artificial intelligence based substation function verification method according to claim 1, wherein the plug-in manager comprises a plug-in identification interface, a plug-in information interface, an event response interface, a model interface and an output interface, wherein the plug-in identification interface is used for intelligent identification of intelligent plug-ins.
4. The plug-in and artificial intelligence based substation function verification method according to claim 3, wherein the plug-in information interface is used for providing name, version number and resource type information of an intelligent alarm plug-in to an intelligent alarm engine; the event response interface is used for sending and receiving messages among the intelligent plug-in, the intelligent engine and the intelligent plug-in; the model interface is used for the intelligent plug-in to visit the SCADA model and real-time data in the station, and the output interface is used for outputting the analysis result of the intelligent plug-in to the display module.
5. The plug-in and artificial intelligence based substation function verification method according to claim 1, wherein the artificial intelligence module comprises a central processing unit, a signal amplification unit, a circuit protection unit, a communication transmission unit and a cloud computing unit.
6. The substation function verification method based on plug-in and artificial intelligence of claim 5, wherein the central processing unit comprises a central processing chip for processing feedback signals, the signal amplification unit amplifies detection signals, the circuit protection unit protects circuits from normal operation, the communication transmission unit comprises an intelligent gateway, and the communication transmission unit is connected with the network uploading cloud computing unit and can receive instructions sent by the cloud computing unit.
7. The utility model provides a transformer substation function verification device based on plug-in components formula and artificial intelligence, its characterized in that includes the aforesaid worker intelligent object, artificial intelligence module includes intelligent engine and intelligent plug-in components, and artificial intelligence module includes central processing unit, signal amplification unit, circuit protection unit, communication transmission unit and high in the clouds computational element.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011454431.7A CN112731010A (en) | 2020-12-10 | 2020-12-10 | Plug-in and artificial intelligence based transformer substation function verification device and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011454431.7A CN112731010A (en) | 2020-12-10 | 2020-12-10 | Plug-in and artificial intelligence based transformer substation function verification device and method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112731010A true CN112731010A (en) | 2021-04-30 |
Family
ID=75599414
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011454431.7A Pending CN112731010A (en) | 2020-12-10 | 2020-12-10 | Plug-in and artificial intelligence based transformer substation function verification device and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112731010A (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104459435A (en) * | 2014-11-21 | 2015-03-25 | 国家电网公司 | Wiring verification method and device for transformer substation |
CN105762932A (en) * | 2015-12-01 | 2016-07-13 | 许继集团有限公司 | Intelligent transformer station intelligent warning system based on plug-in mechanism |
CN111812430A (en) * | 2020-06-02 | 2020-10-23 | 南京瑞贻电子科技有限公司 | Power working condition Internet of things monitoring device and method based on artificial intelligence |
-
2020
- 2020-12-10 CN CN202011454431.7A patent/CN112731010A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104459435A (en) * | 2014-11-21 | 2015-03-25 | 国家电网公司 | Wiring verification method and device for transformer substation |
CN105762932A (en) * | 2015-12-01 | 2016-07-13 | 许继集团有限公司 | Intelligent transformer station intelligent warning system based on plug-in mechanism |
CN111812430A (en) * | 2020-06-02 | 2020-10-23 | 南京瑞贻电子科技有限公司 | Power working condition Internet of things monitoring device and method based on artificial intelligence |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103124936B (en) | The summaryization configuration of the compound physical equipment of monitoring/control system | |
US9733639B2 (en) | Dynamic facility management system | |
CN102508076A (en) | Fault diagnosis device and method based on multi-agent system and wavelet analysis | |
CN111884347B (en) | Power data centralized control system for multi-source power information fusion | |
CN108663581A (en) | A kind of secondary equipment of intelligent converting station test method | |
Dumitru et al. | SCADA based software for renewable energy management system | |
KR100918313B1 (en) | Method for diagnosis and analysis of electric power quality using artificial intelligence | |
CN106329518A (en) | Grid CPS (cyber-physical system) interactive modeling method | |
Zhu et al. | Standard function blocks for flexible IED in IEC 61850-based substation automation | |
CN105245001A (en) | Event-driven intelligent alarm processing method and device for transformer station accidents | |
CN109274741A (en) | A kind of Internet of Things information processing method and related system | |
CN111327468A (en) | Operation method and system for edge computing platform of power system | |
Lei et al. | Research on electrical equipment monitoring and early warning system based on Internet of things technology | |
CN111327016B (en) | Circuit breaker, topology network, topology networking method and device | |
McArthur et al. | Concepts and approaches in multi-agent systems for power applications | |
CN110275509A (en) | A kind of energy-accumulating power station test of supervisor method and system | |
Tsai | Development of islanding early warning mechanism for power systems | |
CN112731010A (en) | Plug-in and artificial intelligence based transformer substation function verification device and method | |
CN105762932B (en) | A kind of intelligent substation intelligent warning system based on Plugin Mechanism | |
Hallmans et al. | Challenges in providing sustainable analytic of system of systems with long life time | |
Kezunovic et al. | Intelligent alarm processing: From data intensive to information rich | |
Yin et al. | Automatic fault analysis and visualization of digital substation event | |
Dahlgren et al. | Model-based synthesis and suppression of transformer alarms in a control center environment | |
Swarup et al. | Computerized data acquisition for power system automation | |
Xu | Design of urban-rural power grid dispatching fault diagnosis expert system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210430 |