CN118100413A - Low-voltage fault on-line monitoring system for transformer and distribution station - Google Patents
Low-voltage fault on-line monitoring system for transformer and distribution station Download PDFInfo
- Publication number
- CN118100413A CN118100413A CN202311710109.XA CN202311710109A CN118100413A CN 118100413 A CN118100413 A CN 118100413A CN 202311710109 A CN202311710109 A CN 202311710109A CN 118100413 A CN118100413 A CN 118100413A
- Authority
- CN
- China
- Prior art keywords
- low
- power transformation
- voltage
- data
- voltage power
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 67
- 230000009466 transformation Effects 0.000 claims abstract description 79
- 238000007689 inspection Methods 0.000 claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 37
- 230000008569 process Effects 0.000 claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000012423 maintenance Methods 0.000 claims abstract description 25
- 230000005540 biological transmission Effects 0.000 claims abstract description 13
- 230000000694 effects Effects 0.000 claims abstract description 6
- 230000000007 visual effect Effects 0.000 claims description 7
- 239000007789 gas Substances 0.000 claims description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 230000018109 developmental process Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000035784 germination Effects 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000004065 semiconductor Substances 0.000 claims description 3
- 239000002341 toxic gas Substances 0.000 claims description 3
- 230000001131 transforming effect Effects 0.000 claims description 3
- 230000008030 elimination Effects 0.000 abstract 1
- 238000003379 elimination reaction Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00002—Circuit 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 monitoring
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING 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
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
An online monitoring system for low-voltage faults of a transformer and distribution substation belongs to the field of monitoring. The system comprises low-voltage power transformation and distribution equipment, a detection module, a data transmission module, an analysis module, a patrol module and a fault elimination module. The low-voltage fault on-line monitoring system of the transformer substation can effectively monitor the whole running states of different low-voltage transformer and distribution equipment in a datamation manner in the working process, and integrates data information generated in the normal process into a parameter model through the set analysis module; the data parameters in the working process of the low-voltage power transformation and distribution equipment and the overall data of the parameter model are subjected to matching degree determination, and the overall working state of each low-voltage power transformation and distribution equipment is determined, so that the overall probability of faults of the low-voltage power transformation and distribution equipment is ensured, the corresponding low-voltage power transformation and distribution equipment is convenient to carry out inspection and maintenance before the faults occur, the early warning effect can be achieved before the faults occur, the overall pressure of power grid operation and maintenance is reduced, and the power failure time of a user is reduced.
Description
Technical Field
The invention belongs to the field of power grid safety monitoring, and particularly relates to an online low-voltage fault monitoring system for a power transformation and distribution station.
Background
The low-voltage distribution system consists of a distribution substation (generally, the transmission voltage of a power grid is reduced to distribution voltage), a high-voltage distribution line (namely, more than 1 kilovolt), a distribution transformer, a low-voltage distribution line (less than 1 kilovolt) and corresponding control protection equipment.
In the operation of a variable distribution network, a power failure accident caused by tripping of a 380V side switch of a user frequently occurs.
Because the load characteristics of the user side (namely the low-voltage side) are quite different, and the low-voltage side of the power transformation and distribution station is not provided with a fault monitoring device, when the low-voltage side outgoing line is tripped by fault, the fault reason cannot be judged timely, and the fault position cannot be judged timely and accurately due to the fault of the switch body or the failure of line fault operation maintenance personnel, so that the power failure time is overlong, and the user power consumption is affected.
Frequent occurrence of such events greatly increases the operating pressure of the grid operation maintenance personnel.
In addition, once the switch in the low-voltage power distribution system trips, due to lack of monitoring control means, a power supply unit can send a person to the site for processing after a user dials a customer service telephone, so that the power failure time of the user is long, the workload of operation and maintenance personnel is increased, and the customer satisfaction is reduced.
There is a need for an online monitoring system for low voltage faults in a substation to assist in solving this problem.
The application publication date is 2017.08.18, and the application publication number is CN 107064672A, which discloses a low-voltage fault online monitoring system which comprises power equipment, an online monitoring terminal, a remote data acquisition system and a PC/mobile terminal; the on-line monitoring terminal is arranged on the power equipment and transmits detection data to the remote data acquisition system through GPRS communication; the remote data acquisition system pushes data information to the PC/mobile terminal. According to the technical scheme, the whole set of system application scheme for realizing the online monitoring of the low-voltage distribution faults is realized through the low-voltage fault online monitoring terminal, the mobile Internet of things communication, the cloud platform data acquisition and the mobile terminal APP, fault action current and voltage curves can be accurately recorded when low-voltage power failure occurs, and data can be sent to the cloud service platform. The operation and maintenance personnel can access the fault wave recording curve through a mobile terminal remote access mode, analyze the fault cause and timely take urgent repair measures, so that the low-voltage fault processing efficiency of the transformer and distribution station is greatly improved. However, the technical scheme disclosed in the application emphasizes the functions of hardware constitution, retrieving the fault wave recording curve in a remote access mode of the mobile terminal and analyzing the fault cause too, and does not relate to the specific implementation mode and the whole workflow of the detection end, so that certain difficulties are brought to reference and reference in actual work.
Disclosure of Invention
The invention aims to solve the technical problem of providing an online monitoring system for low-voltage faults of a transformer and distribution substation. The method is characterized in that the whole running states of different low-voltage power transformation and distribution equipment are effectively monitored in a datamation manner in the working process through a detection module, a data transmission module and the like which are arranged in a monitoring system; the data information generated in the normal process is integrated into the parameter model through the set analysis module, and in the subsequent working state, the overall working state of each low-voltage power transformation and distribution equipment is determined through the determination of the matching degree of the data parameters in the working process of the low-voltage power transformation and distribution equipment and the overall data of the parameter model, so that the overall probability of failure of the low-voltage power transformation and distribution equipment is ensured, the corresponding low-voltage power transformation and distribution equipment is conveniently subjected to inspection maintenance before the failure occurs, the early warning effect can be achieved before the failure occurs, the overall pressure of power grid operation maintenance is reduced, and the power failure time of a user is reduced.
The technical scheme of the invention is as follows: the utility model provides a become distribution substation low voltage trouble on-line monitoring system which characterized in that includes:
A low-voltage power transformation and distribution device for transforming high-voltage power into low-voltage power, and then distributing the low-voltage power to various power users such as home, industry, business, etc.;
The detection module is used for monitoring temperature, humidity, vibration and the like and acquiring data;
The data transmission module is used for uploading maintenance data and overhauling the maintenance data through an intelligent terminal by an overhauling personnel when a fault occurs;
The analysis module is used for analyzing the detection data and determining and monitoring the overall operation state of the low-voltage power transformation and distribution equipment; determining the overall state of the low-voltage power transformation and distribution equipment according to corresponding parameters in different parameter states;
The inspection module can observe the running condition of equipment in real time, discover faults and process the faults in time by carrying out remote inspection on the low-voltage transformer and distributor station;
the fault removing module is composed of overhauling personnel and can rapidly overhaul the fault position of the voltage transformer and distribution station.
Specifically, the detection module includes:
temperature sensor: the device is used for monitoring the temperature of the equipment so as to discover the overheat condition of the equipment in time;
An electrical spark sensor: for monitoring the generation of electrical sparks of the device in order to find in time possible electrical faults or fire risks caused by the sparks;
Gas detection sensor: for monitoring harmful gases, such as oxygen concentration, toxic gas concentration, etc., which may be generated by the equipment, so as to find out possible safety risks in time;
The vibration detection module is used for acquiring sound/vibration parameters of the transformer in the running state in real time through voiceprint vibration on-line monitoring, so that the whole process of the fault from germination to development to formation and the whole-stage monitoring and early warning are formed;
a current sensor: the device is used for monitoring the magnitude of equipment current so as to detect whether the current exceeds the rated load of a transformer substation, and if the current is abnormally high, overload faults can occur;
a voltage sensor: for monitoring the magnitude of the device voltage in order to detect if the voltage is outside a safe range.
Specifically, the data transmission module includes: the system comprises an interface server, a data server and a web server, wherein the data of the detection modules in each region of each electric company are accessed to the interface server, the interface server transmits data to the corresponding data server for analysis and backup, all the data servers are accessed to the web server, and the web server pushes the data after analysis and backup to the visual terminal and performs backup through the storage unit.
Further, the visual terminal comprises one or more of a mobile phone, a tablet personal computer, a notebook computer and a computer.
Further, the memory unit includes one or more of semiconductor memory, magnetic surface memory, optical memory, and cloud storage.
Specifically, the analysis process of the overall state of the low-voltage power transformation and distribution equipment in the analysis module comprises the following steps:
S1, summarizing data of each sensor in normal operation and in fault state;
s2, data construction is carried out on the summarized data of each sensor, and a parameter model is formed;
S3, comparing various data generated in the working state with the parameter model;
s4, the overall data matching degree of the data parameters in the low-voltage power transformation and distribution equipment matched with the parameter model is found through comparison;
S5, further constructing the probability of failure of the corresponding low-voltage power transformation and distribution equipment according to the data matching degree;
s6, carrying out inspection or overhaul from top to bottom according to different probability of faults.
Specifically, the inspection module includes:
The machine inspection is carried out, and the remote inspection is carried out on all positions of the low-voltage power transformation and distribution equipment through the camera, so that the running condition of the equipment can be observed in real time;
the manual inspection is performed, and the inspection is performed on the position which cannot be detected by the machine inspection manually, so that each position of the low-voltage power transformation and distribution equipment can be stably performed in the running process.
Further, the fault removal module comprises the following procedures when in operation:
A1, determining the overall position of the fault low-voltage power transformation and distribution equipment;
A2, determining the positions of all maintenance personnel;
A3, filtering out lists of the working overhauling staff according to different working states of the overhauling staff;
a4, selecting an idle maintainer nearest to the corresponding low-voltage power transformation and distribution equipment to carry out maintenance.
Furthermore, the overall position of the low-voltage power transformation and distribution equipment in the A1 is determined by the number, and the position corresponding to the corresponding number is arranged on the map of the corresponding low-voltage power transformation and distribution equipment.
Compared with the prior art, the invention has the advantages that:
According to the technical scheme, the whole running states of different low-voltage power transformation and distribution equipment are effectively monitored in a datamation manner in the working process through a detection module, a data transmission module and the like which are arranged in a monitoring system; the data information generated in the normal process is integrated into a parameter model through the set analysis module, and in the subsequent working state, the overall working state of each low-voltage power transformation and distribution equipment is determined by determining the matching degree of the data parameters in the working process of the low-voltage power transformation and distribution equipment and the overall data of the parameter model, so that the overall probability of failure of the low-voltage power transformation and distribution equipment is ensured; the low-voltage power transformation and distribution equipment corresponding to the power transformation and distribution equipment is convenient to patrol and maintain before faults occur, the early warning effect can be achieved before the faults occur, the overall pressure of power grid operation and maintenance is reduced, the power failure time of a user is reduced, and the overall experience of the user is improved.
Drawings
FIG. 1 is a system block diagram of an online low-voltage fault monitoring system for a transformer substation of the present invention;
FIG. 2 is a block diagram of the module components of the middle detection module of the low-voltage fault on-line monitoring system of the power substation;
FIG. 3 is a block diagram of a data transmission module in the low-voltage fault on-line monitoring system of the substation of the present invention;
FIG. 4 is a block diagram of the middle storage unit of the low voltage fault on-line monitoring system of the substation of the present invention;
FIG. 5 is a flow chart of an analysis process of an analysis module in the on-line monitoring system for low-voltage faults of a power substation;
fig. 6 is a block flow diagram of the operation of the fault removal module in the on-line monitoring system for low-voltage faults of the power substation.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
As shown in fig. 1, the technical scheme of the present invention provides an online monitoring system for low-voltage faults of a transformer and distribution substation, which comprises:
A low-voltage power transformation and distribution device for transforming high-voltage power into low-voltage power, and then distributing the low-voltage power to various power users such as home, industry, business, etc.;
The detection module is used for monitoring temperature, humidity, vibration and the like and acquiring data;
The data transmission module is used for uploading maintenance data and overhauling the maintenance data through an intelligent terminal by an overhauling personnel when a fault occurs;
The analysis module is used for analyzing the detection data and determining and monitoring the overall operation state of the low-voltage power transformation and distribution equipment; determining the overall state of the low-voltage power transformation and distribution equipment according to corresponding parameters in different parameter states;
The inspection module can observe the running condition of equipment in real time, discover faults and process the faults in time by carrying out remote inspection on the low-voltage transformer and distributor station;
the fault removing module is composed of overhauling personnel and can rapidly overhaul the fault position of the voltage transformer and distribution station.
As shown in fig. 2, the detection module includes:
temperature sensor: the device is used for monitoring the temperature of the equipment so as to discover the overheat condition of the equipment in time;
An electrical spark sensor: for monitoring the generation of electrical sparks of the device in order to find in time possible electrical faults or fire risks caused by the sparks;
Gas detection sensor: for monitoring harmful gases, such as oxygen concentration, toxic gas concentration, etc., which may be generated by the equipment, so as to find out possible safety risks in time;
the vibration detection module is used for acquiring sound (vibration) parameters of the transformer in the running state in real time through voiceprint vibration on-line monitoring, so that the whole process of the fault from germination to development to formation and the whole-stage monitoring and early warning are formed;
A current sensor: for monitoring the magnitude of the equipment current in order to detect if the current exceeds the rated load of the substation, if the current, an overload fault may occur;
a voltage sensor: for monitoring the magnitude of the device voltage in order to detect if the voltage is outside a safe range.
Through mutual cooperation and real-time supervision of multisensor, can carry out effectual understanding to low pressure power transformation and distribution equipment operational aspect, conveniently provide data support in processes such as follow-up analysis.
As shown in fig. 3, the data transmission module includes:
The system comprises an interface server, a data server and a web server, wherein the data of the detection modules in each region of each electric company are accessed to the interface server, the interface server transmits data to the corresponding data server for analysis and backup, all the data servers are accessed to the web server, and the web server pushes the data after analysis and backup to the visual terminal and performs backup through the storage unit.
Specifically, the visual terminal comprises one or more of a mobile phone, a tablet personal computer, a notebook computer and a computer, and through the arrangement of a plurality of different types of visual terminals, corresponding fault information can be received in real time during external inspection or overhaul, so that a corresponding fault removal scheme can be conveniently built subsequently.
As shown in fig. 4, the storage unit includes one or more of a semiconductor memory, a magnetic surface memory, an optical memory and a cloud memory, and by integrally combining multiple storage units, the whole monitoring data can be stored, so that the data loss is avoided as much as possible, and meanwhile, certain data support can be provided when the data is stored in a subsequent database establishment.
As shown in fig. 5, the analysis process of the overall state of the low-voltage power transformation and distribution equipment in the analysis module comprises the following steps:
S1, summarizing data of each sensor in normal operation and in fault state;
s2, data construction is carried out on the summarized data of each sensor, and a parameter model is formed;
S3, comparing various data generated in the working state with the parameter model;
s4, the overall data matching degree of the data parameters in the low-voltage power transformation and distribution equipment matched with the parameter model is found through comparison;
S5, further constructing the probability of failure of the corresponding low-voltage power transformation and distribution equipment according to the data matching degree;
s6, carrying out inspection or overhaul from top to bottom according to different probability of faults.
According to the technical scheme, the data information generated in the normal process is integrated to form the parameter model, and in the subsequent working state, the data parameters in the working process of the low-voltage power transformation and distribution equipment and the overall data of the parameter model are subjected to the matching degree determination, so that the overall working state of each low-voltage power transformation and distribution equipment is determined, the overall probability of failure of the low-voltage power transformation and distribution equipment is ensured, the corresponding low-voltage power transformation and distribution equipment is convenient to carry out inspection maintenance before the failure occurs, the early warning effect can be achieved before the failure occurs, the overall pressure of power grid operation maintenance is reduced, the power failure time of a user is reduced, and the overall experience of the user is improved.
Specifically, the inspection module includes:
The machine inspection is carried out, and the remote inspection is carried out on all positions of the low-voltage power transformation and distribution equipment through the camera, so that the running condition of the equipment can be observed in real time;
The manual inspection is performed on the position which cannot be detected by the machine inspection through the manual inspection, each position of the low-voltage power transformation and distribution equipment can be stably performed in the running process, the whole labor intensity of the manual inspection can be reduced by the inspection through the combination of the manual inspection and the machine inspection, meanwhile, the machine can inspect the low-voltage power transformation and distribution equipment in real time, the whole running condition of the equipment is known in real time, meanwhile, the power grid equipment is not required to be contacted in the machine inspection process, the safety accident is avoided, the machine inspection can be monitored and maintained through remote operation, and the safety and the reliability of the inspection process are ensured.
As shown in fig. 6, the operation of the troubleshooting module includes the following procedures:
A1, determining the overall position of the fault low-voltage power transformation and distribution equipment, wherein the overall position of the low-voltage power transformation and distribution equipment is determined through a number during specific work, and the map of the corresponding low-voltage power transformation and distribution equipment is provided with a position corresponding to the corresponding number;
A2, determining the positions of all maintenance personnel;
A3, filtering out lists of the working overhauling staff according to different working states of the overhauling staff;
a4, selecting an idle maintainer nearest to the corresponding low-voltage power transformation and distribution equipment to carry out maintenance.
According to the technical scheme, the detection module, the data transmission module and the like arranged in the monitoring system can effectively monitor the whole running states of different low-voltage power transformation and distribution equipment in a datamation manner in the working process; the data information generated in the normal process is integrated into a parameter model through the set analysis module, and in the subsequent working state, the data parameters in the working process of the low-voltage power transformation and distribution equipment and the overall data of the parameter model are subjected to the matching degree determination, so that the overall working state of each low-voltage power transformation and distribution equipment is determined, and the overall probability of failure of the low-voltage power transformation and distribution equipment is ensured; the low-voltage power transformation and distribution equipment corresponding to the power transformation and distribution equipment is convenient to patrol and maintain before faults occur, the early warning effect can be achieved before the faults occur, the overall pressure of power grid operation and maintenance is reduced, the power failure time of a user is reduced, and the overall experience of the user is improved.
The invention can be widely applied to the field of operation monitoring of low-voltage power supply systems.
Claims (10)
1. An on-line monitoring system for low-voltage faults of a transformer and distribution substation, comprising:
A low-voltage power transformation and distribution device for transforming high-voltage power into low-voltage power, and then distributing the low-voltage power to various power users such as home, industry, business, etc.;
The detection module is used for monitoring temperature, humidity, vibration and the like and acquiring data;
The data transmission module is used for uploading maintenance data and overhauling the maintenance data through an intelligent terminal by an overhauling personnel when a fault occurs;
The analysis module is used for analyzing the detection data and determining and monitoring the overall operation state of the low-voltage power transformation and distribution equipment; determining the overall state of the low-voltage power transformation and distribution equipment according to corresponding parameters in different parameter states;
The inspection module can observe the running condition of equipment in real time, discover faults and process the faults in time by carrying out remote inspection on the low-voltage transformer and distributor station;
the fault removing module is composed of overhauling personnel and can rapidly overhaul the fault position of the voltage transformer and distribution station.
2. The system for on-line monitoring of low voltage faults in a power transformation and distribution substation of claim 1 in which the detection module comprises:
temperature sensor: the device is used for monitoring the temperature of the equipment so as to discover the overheat condition of the equipment in time;
An electrical spark sensor: for monitoring the generation of electrical sparks of the device in order to find in time possible electrical faults or fire risks caused by the sparks;
Gas detection sensor: for monitoring harmful gases, such as oxygen concentration, toxic gas concentration, etc., which may be generated by the equipment, so as to find out possible safety risks in time;
The vibration detection module is used for acquiring sound/vibration parameters of the transformer in the running state in real time through voiceprint vibration on-line monitoring, so that the whole process of the fault from germination to development to formation and the whole-stage monitoring and early warning are formed;
a current sensor: the device is used for monitoring the magnitude of equipment current so as to detect whether the current exceeds the rated load of a transformer substation, and if the current is abnormally high, overload faults can occur;
a voltage sensor: for monitoring the magnitude of the device voltage in order to detect if the voltage is outside a safe range.
3. The system for on-line monitoring of low voltage faults in a power transformation and distribution substation of claim 1 in which the data transmission module includes:
The system comprises an interface server, a data server and a web server, wherein the data of the detection modules in each region of each electric company are accessed to the interface server, the interface server transmits data to the corresponding data server for analysis and backup, all the data servers are accessed to the web server, and the web server pushes the data after analysis and backup to the visual terminal and performs backup through the storage unit.
4. The system of claim 3, wherein the visual terminal comprises one or more of a cell phone, a tablet computer, a notebook computer, and a computer.
5. A substation low voltage fault on-line monitoring system as claimed in claim 3, wherein said storage unit comprises one or more of semiconductor memory, magnetic surface memory, optical memory and cloud storage.
6. The system for on-line monitoring of low voltage faults in a power transformation and distribution substation according to claim 1, wherein the process of analyzing the overall state of the low voltage power transformation and distribution equipment in the analysis module comprises the following steps:
S1, summarizing data of each sensor in normal operation and in fault state;
s2, data construction is carried out on the summarized data of each sensor, and a parameter model is formed;
S3, comparing various data generated in the working state with the parameter model;
s4, the overall data matching degree of the data parameters in the low-voltage power transformation and distribution equipment matched with the parameter model is found through comparison;
S5, further constructing the probability of failure of the corresponding low-voltage power transformation and distribution equipment according to the data matching degree;
s6, carrying out inspection or overhaul from top to bottom according to different probability of faults.
7. The system for on-line monitoring of low voltage faults in a power transformation and distribution substation of claim 1 in which the patrol module comprises:
The machine inspection is carried out, and the remote inspection is carried out on all positions of the low-voltage power transformation and distribution equipment through the camera, so that the running condition of the equipment can be observed in real time;
the manual inspection is performed, and the inspection is performed on the position which cannot be detected by the machine inspection manually, so that each position of the low-voltage power transformation and distribution equipment can be stably performed in the running process.
8. The system for on-line monitoring of low voltage faults in a power transformation and distribution substation according to claim 1, wherein the fault removal module comprises the following procedures in operation:
A1, determining the overall position of the fault low-voltage power transformation and distribution equipment;
A2, determining the positions of all maintenance personnel;
A3, filtering out lists of the working overhauling staff according to different working states of the overhauling staff;
a4, selecting an idle maintainer nearest to the corresponding low-voltage power transformation and distribution equipment to carry out maintenance.
9. The system for on-line monitoring of low-voltage faults of power transformation and distribution stations according to claim 8, wherein the overall position of the low-voltage power transformation and distribution equipment in the A1 is determined through a number, and the position corresponding to the corresponding number is arranged on a map of the corresponding low-voltage power transformation and distribution equipment.
10. The online monitoring system for low-voltage faults of the power transformation and distribution station according to claim 1 is characterized in that the online monitoring system for low-voltage faults of the power transformation and distribution station effectively performs data monitoring on the overall operation states of different low-voltage power transformation and distribution equipment in the working process through a detection module, a data transmission module and the like arranged in the monitoring system; the data information generated in the normal process is integrated into a parameter model through the set analysis module, and in the subsequent working state, the overall working state of each low-voltage power transformation and distribution equipment is determined by determining the matching degree of the data parameters in the working process of the low-voltage power transformation and distribution equipment and the overall data of the parameter model, so that the overall probability of failure of the low-voltage power transformation and distribution equipment is ensured; the low-voltage power transformation and distribution equipment corresponding to the fault is convenient to patrol and maintain before the fault occurs, the early warning effect can be achieved before the fault occurs, the overall pressure of power grid operation and maintenance is reduced, the power failure time of a user is reduced, and the overall experience of the user is improved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311710109.XA CN118100413A (en) | 2023-12-13 | 2023-12-13 | Low-voltage fault on-line monitoring system for transformer and distribution station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311710109.XA CN118100413A (en) | 2023-12-13 | 2023-12-13 | Low-voltage fault on-line monitoring system for transformer and distribution station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118100413A true CN118100413A (en) | 2024-05-28 |
Family
ID=91146281
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311710109.XA Pending CN118100413A (en) | 2023-12-13 | 2023-12-13 | Low-voltage fault on-line monitoring system for transformer and distribution station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118100413A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107064672A (en) * | 2017-03-29 | 2017-08-18 | 国网上海市电力公司 | A kind of low voltage failure on-line monitoring system |
| CN113114987A (en) * | 2021-04-01 | 2021-07-13 | 南京新唐电力工程有限公司 | Hadoop-based power system inspection method and system |
| CN114825623A (en) * | 2022-04-15 | 2022-07-29 | 深圳市茂和机电有限公司 | Monitoring method and system of intelligent power distribution cabinet |
| CN114897491A (en) * | 2022-04-24 | 2022-08-12 | 湖北世纪森源电力工程有限公司 | Energy efficiency management method and power grid interconnection comprehensive management system |
| CN115037054A (en) * | 2022-07-04 | 2022-09-09 | 国网江苏省电力有限公司泰州供电分公司 | Commutation switch intelligent terminal based on three-phase self-balancing and low-voltage fault location isolation |
| CN115395643A (en) * | 2022-07-27 | 2022-11-25 | 国网江苏省电力有限公司盐城供电分公司 | Low-voltage distribution network fault early warning positioning device and system based on full data acquisition and state perception |
| CN115459449A (en) * | 2022-09-23 | 2022-12-09 | 国网安徽省电力有限公司六安供电公司 | Transformer substation monitoring method and system capable of analyzing operation performance of transformer in real time |
| CN115991351A (en) * | 2023-03-10 | 2023-04-21 | 济南黑山建材有限公司 | Monitoring method, system and auxiliary feeding device for monitoring depth of materials in material warehouse |
| CN116566043A (en) * | 2023-04-21 | 2023-08-08 | 广东电网有限责任公司中山供电局 | Power distribution terminal monitoring system and monitoring method |
-
2023
- 2023-12-13 CN CN202311710109.XA patent/CN118100413A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107064672A (en) * | 2017-03-29 | 2017-08-18 | 国网上海市电力公司 | A kind of low voltage failure on-line monitoring system |
| CN113114987A (en) * | 2021-04-01 | 2021-07-13 | 南京新唐电力工程有限公司 | Hadoop-based power system inspection method and system |
| CN114825623A (en) * | 2022-04-15 | 2022-07-29 | 深圳市茂和机电有限公司 | Monitoring method and system of intelligent power distribution cabinet |
| CN114897491A (en) * | 2022-04-24 | 2022-08-12 | 湖北世纪森源电力工程有限公司 | Energy efficiency management method and power grid interconnection comprehensive management system |
| CN115037054A (en) * | 2022-07-04 | 2022-09-09 | 国网江苏省电力有限公司泰州供电分公司 | Commutation switch intelligent terminal based on three-phase self-balancing and low-voltage fault location isolation |
| CN115395643A (en) * | 2022-07-27 | 2022-11-25 | 国网江苏省电力有限公司盐城供电分公司 | Low-voltage distribution network fault early warning positioning device and system based on full data acquisition and state perception |
| CN115459449A (en) * | 2022-09-23 | 2022-12-09 | 国网安徽省电力有限公司六安供电公司 | Transformer substation monitoring method and system capable of analyzing operation performance of transformer in real time |
| CN115991351A (en) * | 2023-03-10 | 2023-04-21 | 济南黑山建材有限公司 | Monitoring method, system and auxiliary feeding device for monitoring depth of materials in material warehouse |
| CN116566043A (en) * | 2023-04-21 | 2023-08-08 | 广东电网有限责任公司中山供电局 | Power distribution terminal monitoring system and monitoring method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115149637B (en) | Intelligent operation and maintenance method, operation and maintenance system, monitoring system and medium for power distribution network | |
| CN107991525B (en) | Green industry park electricity supply and utilization efficiency monitoring and fault responsibility identification method and system | |
| CN104092310B (en) | A kind of intelligent power distribution monitoring and energy management system backstage | |
| CN111562460B (en) | Power distribution network power failure event detection research and judgment method, device, computer equipment and medium | |
| CN108206586A (en) | A kind of power circuit intelligence O＆M examination and repair system | |
| CN113156058A (en) | Nuclear power station transformer light gas alarm response method, device, equipment and medium | |
| CN109672175B (en) | Power grid control method and device | |
| CN112731062B (en) | Method for diagnosing low-voltage user power failure by utilizing telecommunication terminal equipment | |
| CN107328438A (en) | A kind of power transformer runs comprehensive monitor system | |
| CN116169778A (en) | Processing method and system based on power distribution network anomaly analysis | |
| CN114268167A (en) | Transformer substation system based on digital twinning technology | |
| CN104377823A (en) | On-line monitoring system for power transmission equipment | |
| CN112180865A (en) | Intelligent distribution room and equipment monitoring system | |
| CN116566043A (en) | Power distribution terminal monitoring system and monitoring method | |
| CN112486304A (en) | Real-time state monitoring and automatic defect processing system for secondary equipment of power transformation part | |
| CN118100413A (en) | Low-voltage fault on-line monitoring system for transformer and distribution station | |
| CN106451760A (en) | Real-time telemetry information monitoring method for 500kV transformer station centralized control system | |
| CN117559638A (en) | User safety electricity consumption monitoring method and device | |
| CN114726709B (en) | Intelligent operation and maintenance monitoring method, device, equipment and storage medium for power distribution network | |
| CN116566055A (en) | Comprehensive safety monitoring method and system for energy storage station and electronic equipment | |
| CN116449146A (en) | Power system transmission line fault online analysis method | |
| CN115936206A (en) | Intelligent judgment method and device for power equipment over-service state | |
| CN104375482A (en) | Relay protection device online evaluation method | |
| CN104392102A (en) | Automatic extraction and calculation method for online monitoring indexes of relaying protection equipment | |
| Ramaswamy et al. | Analysis of Distribution Line in Link with Substation using GSM Technology |
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 |