CN105117984B - A kind of power grid lean management system based under data analysis - Google Patents
A kind of power grid lean management system based under data analysis Download PDFInfo
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- CN105117984B CN105117984B CN201510564680.4A CN201510564680A CN105117984B CN 105117984 B CN105117984 B CN 105117984B CN 201510564680 A CN201510564680 A CN 201510564680A CN 105117984 B CN105117984 B CN 105117984B
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- 238000007405 data analysis Methods 0.000 title claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 65
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000007726 management method Methods 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000036541 health Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 7
- 238000013459 approach Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000013075 data extraction Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000012797 qualification Methods 0.000 claims description 3
- 230000008439 repair process Effects 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 238000010276 construction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
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Classifications
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention relates to a kind of power grid lean management systems based under data analysis, including power equipment, data acquisition module compatible with power equipment, the distributed data base being connected with data acquisition module, the data computation analysis module being connected with distributed data base, the mobile terminal that the output control module and output control module being connected with distributed data base, data computation analysis module connect.Solve the problems, such as that existing grid equipment operation management system is incomplete, reasonable.And it is simple in structure, be easily achieved, can be widely applied to grid equipment operation management system field.
Description
Technical field
The present invention relates to grid equipment operation field more particularly to a kind of power grid lean management systems based under data analysis
System.
Background technology
With the deployment of State Grid Corporation of China " three collection five are big " work, the construction of scheduling information system is gradually improved, makes
It obtains and the analysis of grid equipment operation situation is put forward higher requirements.But the Technical Architecture and data by its original application system are deposited
The restriction of storage cannot achieve the various analysis models of power grid or analysis result be barely satisfactory.This just forces us to need to run
New thinking, new technology start with to the specification of electric network data assets, standard, quality and safety, utilize data mining, number
According to advanced technologies such as analyses, flexible, accurate and efficient analysis and research model is built, to realize to power grid all devices operation
Condition evaluation is analyzed and researched.But these work are an extremely cumbersome and complicated processes, in each business and sport technique segment
It is required for carrying out demonstration repeatedly.It would therefore be desirable to realize that target carries out research demonstration to it in the early period of system Construction,
Ensure being smoothed out for later stage system Construction.
, invention content
The object of the present invention is to provide a kind of power grid lean management systems based under data analysis, solve existing power grid
Incomplete, the reasonable problem of equipment operation management system.
The technical solution adopted by the present invention to solve the technical problems is：A kind of power grid lean pipe based under data analysis
Reason system, including distribution that power equipment and the compatible data acquisition module of power equipment are connected with data acquisition module
Data computation analysis module and distributed data base that database is connected with distributed data base, data computation analysis module phase
The mobile terminal that output control module and output control module even connects；
Data acquisition module includes grid topology data acquisition system, the equipment information collection dress being connected with power equipment
It sets, real-time video monitoring equipment compatible with power equipment, the fault wave recording device being connected on power equipment；Facility information
The open and close signal of current value, voltage value and power equipment switch of the harvester for acquiring power equipment in real time, and be transferred to
Distributed data base；Real-time video monitoring equipment for monitoring power equipment in real time, and will be formed video data real-time Transmission to
Distributed data base；Grid topology data acquisition system is sent to distribution for the grid topology data in pickup area
Database；The number of front and back power equipment electrical quantity and state change process information occurs for recording failure for fault wave recording device
According to, and data are sent to distributed data base in real time；
Data computation analysis module is used to read the data in distributed data base, and carries out real-time or off-line calculation point
Analysis；
Output control module is for reading in the Calculation results and distributed data base of data computation analysis module
Data；
Mobile terminal be used for receive output control module output data, while by about the dispatching log of power equipment,
In scheduling operation recording input distributed data base.
Preferably, data acquisition module includes the big data extraction tool increased income, tradition ETL tools and Enterprise Service Bus
ESB。
Preferably, data computation analysis module include equipment general level of the health analysis module, voltage control approach analysis module,
Power grid security analysis and assessment module in scheduling disciplines analysis module and region.
Equipment general level of the health analysis module is used for the switch by reading the data in distributed data base to power equipment
The reason of point position, the switch uncharged time of power equipment, the section load factor of power equipment, electrical equipment fault rate, after
Electric protection equipment state and maintenance reason carry out in real time or off-line calculation is analyzed, and analysis result is transferred to output control mould
Block；
Voltage control approach analysis module is used to read the current value and voltage value of the power equipment in distributed data base,
And it is based on same time end face, under different dimensions, realize to the busbar voltage of power grid 10kV or more, voltage wave in region
Dynamic, idle input, spare capacity carry out in real time or off-line calculation is analyzed, and counts voltage change ratio, and is sent to output control mould
Block carries out alarm record；
Scheduling disciplines analysis module is used for by reading from the dispatching log in distributed data base, scheduling operation is recorded
Sound, video data, to dispatching order contents norm degree, operation order and repair ticket executive condition qualification rate, plan and reality
Execution time deviation, executive condition delay reason, the service arrangement of power equipment, the plan that has a power failure arrange progress in real time or offline meter
Point counting is analysed, and Calculation results are sent to output control module；
The power grid security analysis and assessment module information read in distributed data base in region, to power grid heavy-load or overload
Power grid in out-of-limit element, operation of power networks state, power grid N-1 scannings failure, circuit or main transformer load factor and transportable capacity, region
Load factor, power grid power supply capacity, grid supply quality, power grid power supply reliability, reactive compensation capacity sensitivity carry out in real time or
Off-line calculation is analyzed, and analysis result is sent to output control module.
Beneficial effects of the present invention：It solves because of the Technical Architecture of traditional application system, data storage, data management, analysis
The standardized management of electric network data assets is studied in the not perfect restriction brought of module, and structure is flexible, accurate and efficient calculate is divided
Analyse module, to realize the transformation of service management pattern from " passive type discoverys " to " active analysis ", for management and running with
Operations staff provides abundant analysis means, while electricity feature-rich, reasonable for structure is provided for the aid decision of operating personnel
Net equipment operation management system.
Below with reference to drawings and examples, the present invention is described in detail.
Description of the drawings
Fig. 1 is the structure diagram of the present invention.
Specific implementation mode
Embodiment, a kind of power grid lean management system based under data analysis as shown in Figure 1, including power equipment 1,
The distributed data base 3 being connected with data acquisition module 2 with 1 compatible data acquisition module 2 of power equipment, and it is distributed
The output control that the connected data computation analysis module 4 of database 3 is connected with distributed data base 3, data computation analysis module 4
The mobile terminal 6 that molding block 5 and output control module 5 connect；
Data acquisition module 2 includes grid topology data acquisition system 7, and the facility information being connected with power equipment 1 is adopted
Acquisition means 8, real-time video monitoring equipment 9 compatible with power equipment 1, the fault wave recording device being connected on power equipment 1
10；The open and close of current value, voltage value and power equipment switch of the equipment information collection device 8 for acquiring power equipment 1 in real time
Signal, and it is transferred to distributed data base 3；Real-time video monitoring equipment 9 is for monitoring power equipment 1 in real time, and by formation
Video data real-time Transmission is to distributed data base 3；Grid topology data acquisition system 7 is for the power network topology in pickup area
Data, and it is sent to distributed data base 3；For recording failure 1 electrical quantity of front and back power equipment occurs for fault wave recording device 10
With the data of state change process information, and data are sent to distributed data base 3 in real time；
Data computation analysis module 4 is used to read the data in distributed data base 3, and carries out real-time or off-line calculation point
Analysis；
Output control module 5 is for reading in the Calculation results and distributed data base 3 of data computation analysis module 4
Data；
Mobile terminal 6 is used to receive the data of the output of output control module 5, while by the scheduling day about power equipment 1
In will, scheduling operation recording input distributed data base 3.
Data acquisition module 1 is provided with the big data extraction tool increased income, tradition ETL tools and Enterprise Service Bus ESB.
Data computation analysis module 4 includes equipment general level of the health analysis module 11, voltage control approach analysis module 12, adjusts
Power grid security analysis and assessment module 14 in metric generalized analysis module 13 and region；
It is researched and analysed for all power equipments progress health assessment of area power grid, passes through several aspects and carry out various dimensions
Consider, to establish the analysis model of area power grid equipment health assessment, the fine-grained management of regional grid equipment is provided
Data supporting.Equipment general level of the health analysis module 11 is used for by reading the data in distributed data base 3, to power equipment 1
Switch the reason of dividing position, the switch uncharged time of power equipment 1, the section load factor of power equipment 1, power equipment 1
Failure rate, relay protection device state and maintenance reason carry out in real time or off-line calculation analysis, and analysis result are transferred to defeated
Go out control module 5.
Voltage control approach analysis module 12 is used to read the current value and voltage of the power equipment 1 in distributed data base
Value, and be based on same time end face, under different dimensions (such as region, voltage class), realize to power grid 10kV in region and
Above busbar voltage, voltage fluctuation, idle input, spare capacity carry out in real time or off-line calculation analysis, counting voltage change
Rate, and be sent to output control module 5 and carry out alarm record,.
According to the code requirement of scheduling operation process, needs to use necessary technological means, record to entire scheduling operation
Text conversion is carried out, data analysis can be carried out to the standard term of operation order content, personnel, word and the tone, found out
Problem in operating process improves the whole of management and running personnel to realize the quantitative analysis and examination to standardizing professional skill
Body professional skill.Scheduling disciplines analysis module 13 is used for by reading dispatching log, scheduling operation in distributed data base 3
Recording, video data, to dispatching order contents norm degree, operation order and repair ticket executive condition qualification rate, plan and reality
Border execute time deviation, executive condition delay reason, power equipment 2 service arrangement, have a power failure plan arrange carry out in real time or from
Line computation is analyzed, and Calculation results are sent to output control module 5.
It with the growing interest to power grid security, needs to build various power grid security analysis and assessment models, with abundant assessment
Analysis means find out common problem, and auxiliary strategy is provided to analysis result, to being targetedly improved in management and
It is perfect, improve the management means of scheduling decision personnel and operations staff.The reading of power grid security analysis and assessment module 14 in region
Data information in distributed data base 3, to power grid heavy-load or the out-of-limit element of overload, operation of power networks state, power grid N-1 scanning events
Network load rate, power grid power supply capacity, grid supply quality, electricity in barrier, circuit or main transformer load factor and transportable capacity, region
Net power supply reliability, reactive compensation capacity sensitivity carry out in real time or off-line calculation is analyzed, and analysis result is sent to output
Control module 5.
Claims (1)
1. a kind of power grid lean management system based under data analysis, it is characterised in that：Including power equipment (1) and electric power
The distributed data base (3) that the compatible data acquisition module (2) of equipment (1) is connected with data acquisition module (2), and distribution
The connected data computation analysis module (4) of formula database (3) and distributed data base (3), data computation analysis module (4) phase
The mobile terminal (6) that output control module (5) and output control module (5) even connects；
Data acquisition module (2) includes grid topology data acquisition system (7), the facility information being connected with power equipment (1)
Harvester (8), compatible real-time video monitoring equipment (9), the event being connected on power equipment (1) with power equipment (1)
Hinder wave recording device (10)；Current value, voltage value and electricity of the equipment information collection device (8) for acquiring power equipment (1) in real time
The open and close signal of power facility switching, and it is transferred to distributed data base (3)；Real-time video monitoring equipment (9) is for monitoring in real time
Power equipment (1), and give the video data real-time Transmission of formation to distributed data base (3)；Grid topology data acquisition system
(7) grid topology data being used in pickup area, and it is sent to distributed data base (3)；Fault wave recording device (10) is used for
It records failure and the data of front and back power equipment (1) electrical quantity and state change process information occurs, and data are sent in real time
Distributed data base (3)；
Data computation analysis module (4) is used to read the data in distributed data base (3), and carries out real-time or off-line calculation point
Analysis；
Output control module (5) is used to read the Calculation results and distributed data base (3) of data computation analysis module (4)
Interior data；
Mobile terminal (6) is used to receive the data of output control module (5) output, while will be about the scheduling of power equipment (1)
In daily record, scheduling operation recording input distributed data base (3)；
Data acquisition module (1) is provided with the big data extraction tool increased income, tradition ETL tools and Enterprise Service Bus ESB；
Data computation analysis module (4) include equipment general level of the health analysis module (11), voltage control approach analysis module (12),
Power grid security analysis and assessment module (14) in scheduling disciplines analysis module (13) and region；
Equipment general level of the health analysis module (11) is used for by reading the data in distributed data base (3), to power equipment (1)
Switch point position the reason of, the switch uncharged time of power equipment (1), the section load factor of power equipment (1), electric power sets
Standby failure rate, relay protection device state and maintenance reason carry out in real time or off-line calculation is analyzed, and analysis result is transferred to
Output control module (5)；
Voltage control approach analysis module (12) is used to read the current value and voltage of the power equipment (1) in distributed data base
Value, and it is based on same time end face, under different dimensions, realize to the busbar voltage of power grid 10kV or more, voltage in region
Fluctuation, idle input, spare capacity carries out in real time or off-line calculation is analyzed, and counts voltage change ratio, and be sent to output control
Module (5) carries out alarm record；
Scheduling disciplines analysis module (13) is used for by reading the dispatching log in distributed data base (3), scheduling operation record
Sound, video data, to dispatching order contents norm degree, operation order and repair ticket executive condition qualification rate, plan and reality
Execute time deviation, executive condition delay reason, power equipment (2) service arrangement, have a power failure plan arrange carry out in real time or from
Line computation is analyzed, and Calculation results are sent to output control module (5)；
Power grid security analysis and assessment module (14) data information read in distributed data base (3) in region, to power grid weight
Carry or overload out-of-limit element, operation of power networks state, power grid N-1 scannings failure, circuit or main transformer load factor and transportable capacity, area
Network load rate in domain, power grid power supply capacity, grid supply quality, power grid power supply reliability, reactive compensation capacity sensitivity into
Row is in real time or off-line calculation is analyzed, and analysis result is sent to output control module (5).
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| CN201510564680.4A CN105117984B (en) | 2015-09-07 | 2015-09-07 | A kind of power grid lean management system based under data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105760429B (en) * | 2016-01-29 | 2019-02-26 | 厦门亿力吉奥信息科技有限公司 | Grid equipment data verification method and its system |
| CN105891677A (en) * | 2016-04-12 | 2016-08-24 | 国网浙江杭州市富阳区供电公司 | Power grid fault detection system based on power grid big data quality standardization |
| CN106909598B (en) * | 2016-07-01 | 2020-10-13 | 阿里巴巴集团控股有限公司 | Processing method, device and system for guaranteeing consistency of calculation data |
| CN108109075A (en) * | 2017-12-04 | 2018-06-01 | 广东电网有限责任公司电力科学研究院 | A kind of off-line calculation platform based on distributed computing technology |
| CN111259009B (en) * | 2020-01-13 | 2020-09-22 | 深圳维格智数科技有限公司 | Flexible multidimensional database type cloud dimension table processing method and system |
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Address after: 245000 No. 55 East Mount Huangshan Road, Tunxi District, Anhui, Huangshan City Co-patentee after: State Grid Corporation Patentee after: Huangshan Power Supply Company of State Grid Anhui Electric Power Company Address before: 100032 No. 86, Xicheng District, Beijing, Chang'an Avenue Co-patentee before: Huangshan Power Supply Company of State Grid Anhui Electric Power Company Patentee before: State Grid Corporation |
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