CN109583790A - Power distribution network active O&M method and system based on real-time monitoring - Google Patents
Power distribution network active O&M method and system based on real-time monitoring Download PDFInfo
- Publication number
- CN109583790A CN109583790A CN201811572297.3A CN201811572297A CN109583790A CN 109583790 A CN109583790 A CN 109583790A CN 201811572297 A CN201811572297 A CN 201811572297A CN 109583790 A CN109583790 A CN 109583790A
- Authority
- CN
- China
- Prior art keywords
- distribute
- work order
- electricity transformer
- transformer district
- real
- 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
- 238000009826 distribution Methods 0.000 title claims abstract description 50
- 238000012544 monitoring process Methods 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 80
- 238000012545 processing Methods 0.000 claims abstract description 38
- 230000008030 elimination Effects 0.000 claims description 9
- 238000003379 elimination reaction Methods 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 5
- 238000003745 diagnosis Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000001131 transforming effect Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 4
- 230000015556 catabolic process Effects 0.000 abstract description 2
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Marketing (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Quality & Reliability (AREA)
- Artificial Intelligence (AREA)
- Educational Administration (AREA)
- Evolutionary Computation (AREA)
- Game Theory and Decision Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of power distribution network active O&M method and system based on real-time monitoring, method include: that real-time monitoring obtains power distribution network distribute-electricity transformer district route energy data；According to the data that real-time monitoring obtains, judge whether power distribution station exception and abnormal class occurs；According to abnormal judging result and abnormal class, early warning work order corresponding with abnormal class is generated；According to the corresponding abnormal class of early warning work order, early warning work order is sent to the corresponding abnormal teams and groups personnel of processing.The present invention can carry out early warning to abnormal conditions by Real Time Monitoring, generate early warning work order and be distributed to corresponding operation maintenance personnel and handled, and realize the active O&M of power distribution station, can reduce rate of breakdown, improve the safety in operation of power grid.
Description
Technical field
The present invention relates to power distribution network O&M, safeguard technology field, especially a kind of power distribution network based on real-time monitoring
Active O&M method and system.
Background technique
Important component of the power distribution network as power grid, is directly facing terminal user, and the production with broad masses of the people is raw
Work is closely bound up, is the important infrastructure of serve the people.In recent years, with the fast development of national economy and people's lives
It is continuously improved, user proposes higher demand to power supply reliability, power quality.
Since power distribution network has the characteristics that a little more, wire length, wide, some area " low-voltages ", " seizing by the throat " outstanding problem.
Lack the distribution Analysis of Isolated Net Running tool for pressing electric network composition tissue, is difficult to control the tripping of power distribution networks at different levels, stoppage in transit, again mistake totally
The true operating condition such as load, three-phase imbalance, low-voltage can not accomplish the association to power distribution network weakness problem producing cause point
Analysis, can not find the problem crux in time, realize that management is precisely had an effect.
At present for electricity such as the heavy-overload, underloading, zero load, low-voltage, the three-phase imbalances that occur in power distribution network power supply process
Energy quality problems are found in breakdown repair mostly, have been had an impact or have been caused damages to power grid, and the place of the above problem
It sets all online lower circulation to complete, information is imperfect, the circulation time is long, low efficiency.
Distribution network failure incidence is reduced, pushes power distribution network to change from " passive repairing " to " active O&M ", improves conscientiously
Active O&M ability needs comprehensive control equipment state, gives warning in advance, active O&M.
Summary of the invention
The object of the present invention is to provide a kind of power distribution network active O&M method and system based on real-time monitoring, using real-time
Monitoring technology captures the abnormal state occurred in the operational process of distribute-electricity transformer district in power distribution network in time, and carries out respective handling, realizes
Power distribution network active O&M ensures power distribution network operational safety, reduces fault outage.
The technical scheme adopted by the invention is as follows: a kind of power distribution network active O&M method based on real-time monitoring, comprising:
Real-time monitoring obtains power distribution network distribute-electricity transformer district route energy data；
According to the data that real-time monitoring obtains, judge whether power distribution station exception and abnormal class occurs；
According to abnormal judging result and abnormal class, early warning work order corresponding with abnormal class is generated；
According to the corresponding abnormal class of early warning work order, early warning work order is sent to the corresponding abnormal teams and groups personnel of processing.
The present invention captures distribute-electricity transformer district in use, the distribution network line energy data that can be obtained according to real-time monitoring
Operating status abnormal conditions the active fortune to abnormality can be realized to send early warning work order to O&M teams and groups personnel
Dimension can reduce failure generation and fault outage.
Further, the invention also includes:
Obtain the worksheet end signal of each teams and groups personnel feedback；
Judge whether the corresponding abnormal class of processed work order has been eliminated according to the route energy data that real-time monitoring obtains:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
Preferably, carrying out filing processing to work order includes, storage work order corresponding time occurred extremely, elimination when
Between and worksheet number data.
Preferably, the power distribution network distribute-electricity transformer district route electric energy data packet includes distribute-electricity transformer district three-phase current data and three-phase electricity
Press data.Related data is obtained using existing real time monitoring.
Preferably, distribute-electricity transformer district abnormal class includes distribute-electricity transformer district heavy duty, distribute-electricity transformer district overload, distribute-electricity transformer district underloading, matches
The zero load of the area Bian Tai, distribute-electricity transformer district low-voltage and distribute-electricity transformer district three-phase imbalance.
Preferably, based on the distribute-electricity transformer district route energy data obtained in real time, distribute-electricity transformer district load factor is calculated:
When distribute-electricity transformer district load factor>=80% and<100%, and continue 2 hours, then distribute-electricity transformer district heavy duty；
When distribute-electricity transformer district load factor >=100%, and continue 2 hours, then distribute-electricity transformer district is overloaded；
When distribute-electricity transformer district load factor≤30%, and continue 2 hours, then distribute-electricity transformer district is lightly loaded；
When distribute-electricity transformer district load factor≤0, and continue 2 hours, then distribute-electricity transformer district is unloaded；
As minimum voltage < 198V and small continuous service 1, then distribute-electricity transformer district low-voltage；
As three-phase load unbalance degree > 25%, load factor > 60%, and continuous service 2 hours, then distribute-electricity transformer district three-phase imbalance.
Preferably, distribute-electricity transformer district load factor=MAX (A phase current, B phase current, C phase current)/rated current * 100%.
Invention additionally discloses a kind of power distribution network active operational system based on real-time monitoring, comprising:
Real-time monitoring module obtains power distribution network distribute-electricity transformer district route energy data for real-time monitoring；
Abnormality diagnosis module, the data for being obtained according to real-time monitoring judge whether power distribution station exception occurs, and abnormal
Classification；
Early warning work order generation module, for generating corresponding with abnormal class pre- according to abnormal judging result and abnormal class
Alert work order；
Early warning work order output module, for it is corresponding that early warning work order to be sent to processing according to the corresponding abnormal class of early warning work order
Abnormal teams and groups personnel.
Further, the present invention is based on the power distribution network active operational systems of real-time monitoring, further includes:
Worksheet data obtaining module, for obtaining the worksheet end signal of each teams and groups personnel feedback；
Worksheet outcome evaluation module, the route energy data for being obtained according to real-time monitoring judge that processed work order is corresponding
Abnormal class whether eliminated:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
Beneficial effect
The present invention can be monitored when power grid not yet breaks down or has a power failure by real-time perfoming distribute-electricity transformer district operation data, main
The exception of dynamic discovery distribute-electricity transformer district, and then early warning work order is generated according to anomaly classification and is sent to related operation maintenance personnel and carries out exception
Processing, reduces the generation of distribution network failure, improves the safety of power grid, improve active O&M ability；Work order is sent automatically
Hair, has saved human cost；Work order is assessed according to monitoring result, improves workform management ability, forms closed loop pipe
Control.
Detailed description of the invention
Fig. 1 show a kind of embodiment flow diagram of the method for the present invention.
Specific embodiment
It is further described below in conjunction with the drawings and specific embodiments.
Embodiment 1
The present embodiment is the power distribution network active O&M method based on real-time monitoring, comprising:
Real-time monitoring obtains power distribution network distribute-electricity transformer district route energy data；
According to the data that real-time monitoring obtains, judge whether power distribution station exception and abnormal class occurs；
According to abnormal judging result and abnormal class, early warning work order corresponding with abnormal class is generated；
According to the corresponding abnormal class of early warning work order, early warning work order is sent to the corresponding abnormal teams and groups personnel of processing.
Further, the invention also includes:
Obtain the worksheet end signal of each teams and groups personnel feedback；
Judge whether the corresponding abnormal class of processed work order has been eliminated according to the route energy data that real-time monitoring obtains:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
Related data is obtained using existing real time monitoring.
The present invention captures distribute-electricity transformer district in use, the distribution network line energy data that can be obtained according to real-time monitoring
Operating status abnormal conditions the active fortune to abnormality can be realized to send early warning work order to O&M teams and groups personnel
Dimension can reduce failure generation and fault outage.
Embodiment 2
With reference to Fig. 1, in the present embodiment, the power distribution network distribute-electricity transformer district route electric energy data packet of real-time monitoring includes distribute-electricity transformer district three-phase electricity
Flow data and three-phase voltage data.
Distribute-electricity transformer district active O&M method based on real-time monitoring includes:
(1) real-time monitoring distribute-electricity transformer district A phase current, B phase current, C phase current, A phase voltage, B phase voltage, C phase voltage；
(2) it is based on (1) described Real-time Monitoring Data, calculates distribute-electricity transformer district load factor, and then obtain corresponding abnormal results；
Abnormal results include distribute-electricity transformer district heavy duty, distribute-electricity transformer district overload, distribute-electricity transformer district underloading, distribute-electricity transformer district zero load, distribute-electricity transformer district
Low-voltage；Distribute-electricity transformer district three-phase imbalance.
When distribute-electricity transformer district load factor>=80% and<100%, and continue 2 hours, then distribute-electricity transformer district heavy duty；
When distribute-electricity transformer district load factor >=100%, and continue 2 hours, then distribute-electricity transformer district is overloaded；
When distribute-electricity transformer district load factor≤30%, and continue 2 hours, then distribute-electricity transformer district is lightly loaded；
When distribute-electricity transformer district load factor≤0, and continue 2 hours, then distribute-electricity transformer district is unloaded；
As minimum voltage < 198V and small continuous service 1, then distribute-electricity transformer district low-voltage；
As three-phase load unbalance degree > 25%, load factor > 60%, and continuous service 2 hours, then distribute-electricity transformer district three-phase imbalance.
Wherein distribute-electricity transformer district load factor=MAX (A phase current, B phase current, C phase current)/rated current * 100%
(3) respective type early warning work order is formed according to abnormal results, such as the heavy duty of calculated result distribute-electricity transformer district, then generates distribute-electricity transformer district
Heavily loaded early warning work order；If calculated result distribute-electricity transformer district is overloaded, then distribute-electricity transformer district overload early warning work order is generated；Such as calculated result distribution transforming
Platform area underloading then generates distribute-electricity transformer district underloading work order；Such as the zero load of calculated result distribute-electricity transformer district, then distribute-electricity transformer district zero load early warning is generated
Work order；Such as calculated result distribute-electricity transformer district low-voltage, then distribute-electricity transformer district low-voltage early warning work order is formed；Such as calculated result distribute-electricity transformer district
Three-phase imbalance then forms distribute-electricity transformer district three-phase imbalance early warning work order.
(4) early warning work order is issued to the teams and groups personnel for being responsible for corresponding abnormal maintenance；
(5) teams and groups personnel are obtained and carries out the worksheet consequential signal fed back after worksheet or relevant information；
(6) according to worksheet after Real-time Monitoring Data, carry out anomaly analysis, to assess worksheet situation,
Judge whether the corresponding abnormal class of processed work order has been eliminated:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
(7) work order is filed；Carrying out filing processing to work order includes, and the storage work order corresponding time occurred extremely is eliminated
Time and worksheet number data.The later period is facilitated to trace.
Embodiment 3
The present embodiment is the power distribution network active operational system based on real-time monitoring, comprising:
Real-time monitoring module obtains power distribution network distribute-electricity transformer district route energy data for real-time monitoring；
Abnormality diagnosis module, the data for being obtained according to real-time monitoring judge whether power distribution station exception occurs, and abnormal
Classification；
Early warning work order generation module, for generating corresponding with abnormal class pre- according to abnormal judging result and abnormal class
Alert work order；
Early warning work order output module, for it is corresponding that early warning work order to be sent to processing according to the corresponding abnormal class of early warning work order
Abnormal teams and groups personnel；
Worksheet data obtaining module, for obtaining the worksheet end signal of each teams and groups personnel feedback；
Worksheet outcome evaluation module, the route energy data for being obtained according to real-time monitoring judge that processed work order is corresponding
Abnormal class whether eliminated:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
Method and system of the invention can pass through real-time perfoming distribute-electricity transformer district when power grid not yet breaks down or has a power failure
Operation data monitoring actively discovers the exception of distribute-electricity transformer district, and then generates early warning work order according to anomaly classification and be sent to correlation
Operation maintenance personnel carries out abnormality processing, reduces the generation of distribution network failure, improves the safety of power grid, improves active O&M
Ability；Work order distributes automatically, has saved human cost；Work order is assessed according to monitoring result, improves workform management energy
Power forms closed loop control.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The embodiment of the present invention is described in conjunction with attached drawing above, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (9)
1. a kind of power distribution network active O&M method based on real-time monitoring, characterized in that include:
Real-time monitoring obtains power distribution network distribute-electricity transformer district route energy data；
According to the data that real-time monitoring obtains, judge whether power distribution station exception and abnormal class occurs；
According to abnormal judging result and abnormal class, early warning work order corresponding with abnormal class is generated；
According to the corresponding abnormal class of early warning work order, early warning work order is sent to the corresponding abnormal teams and groups personnel of processing.
2. according to the method described in claim 1, it is characterized in that, further includes:
Obtain the worksheet end signal of each teams and groups personnel feedback；
Judge whether the corresponding abnormal class of processed work order has been eliminated according to the route energy data that real-time monitoring obtains:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
3. according to the method described in claim 1, it is characterized in that, to work order carry out filing processing include, storage work order it is corresponding
Extremely the time of the time, elimination that occur and worksheet number data.
4. according to the method described in claim 1, it is characterized in that, the power distribution network distribute-electricity transformer district route electric energy data packet includes distribution transforming
Platform area three-phase current data and three-phase voltage data.
5. according to the method described in claim 1, it is characterized in that, distribute-electricity transformer district abnormal class include distribute-electricity transformer district heavy duty, distribution transforming
Platform area overload, distribute-electricity transformer district underloading, distribute-electricity transformer district zero load, distribute-electricity transformer district low-voltage and distribute-electricity transformer district three-phase imbalance.
6. according to the method described in claim 5, it is characterized in that, based on the distribute-electricity transformer district route energy data obtained in real time, meter
Calculate distribute-electricity transformer district load factor:
When distribute-electricity transformer district load factor>=80% and<100%, and continue 2 hours, then distribute-electricity transformer district heavy duty；
When distribute-electricity transformer district load factor >=100%, and continue 2 hours, then distribute-electricity transformer district is overloaded；
When distribute-electricity transformer district load factor≤30%, and continue 2 hours, then distribute-electricity transformer district is lightly loaded；
When distribute-electricity transformer district load factor≤0, and continue 2 hours, then distribute-electricity transformer district is unloaded；
As minimum voltage < 198V and small continuous service 1, then distribute-electricity transformer district low-voltage；
As three-phase load unbalance degree > 25%, load factor > 60%, and continuous service 2 hours, then distribute-electricity transformer district three-phase imbalance.
7. according to the method described in claim 6, it is characterized in that, distribute-electricity transformer district load factor=MAX (A phase current, B phase current,
C phase current)/rated current * 100%.
8. a kind of power distribution network active operational system based on real-time monitoring, characterized in that include:
Real-time monitoring module obtains power distribution network distribute-electricity transformer district route energy data for real-time monitoring；
Abnormality diagnosis module, the data for being obtained according to real-time monitoring judge whether power distribution station exception occurs, and abnormal
Classification；
Early warning work order generation module, for generating corresponding with abnormal class pre- according to abnormal judging result and abnormal class
Alert work order；
Early warning work order output module, for it is corresponding that early warning work order to be sent to processing according to the corresponding abnormal class of early warning work order
Abnormal teams and groups personnel.
9. the power distribution network active operational system according to claim 8 based on real-time monitoring, characterized in that further include:
Worksheet data obtaining module, for obtaining the worksheet end signal of each teams and groups personnel feedback；
Worksheet outcome evaluation module, the route energy data for being obtained according to real-time monitoring judge that processed work order is corresponding
Abnormal class whether eliminated:
If having eliminated, corresponding work order is subjected to filing processing；
If not eliminating, the early warning work order of corresponding abnormal class is sent to the corresponding abnormal teams and groups personnel of processing again, until
Corresponding abnormal elimination, carries out work order filing processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811572297.3A CN109583790A (en) | 2018-12-21 | 2018-12-21 | Power distribution network active O&M method and system based on real-time monitoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811572297.3A CN109583790A (en) | 2018-12-21 | 2018-12-21 | Power distribution network active O&M method and system based on real-time monitoring |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109583790A true CN109583790A (en) | 2019-04-05 |
Family
ID=65931269
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811572297.3A Pending CN109583790A (en) | 2018-12-21 | 2018-12-21 | Power distribution network active O&M method and system based on real-time monitoring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109583790A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110474420A (en) * | 2019-07-22 | 2019-11-19 | 漳州科华技术有限责任公司 | Control method, control device and the controlling terminal of multi-standard uninterruptible power supply |
| CN110542779A (en) * | 2019-09-26 | 2019-12-06 | 江苏超越新能源科技集团股份有限公司 | district fault early warning method |
| CN110927495A (en) * | 2019-12-06 | 2020-03-27 | 张彩东 | Abnormity monitoring method for electric power metering terminal equipment |
| CN111103465A (en) * | 2019-12-27 | 2020-05-05 | 国网福建省电力有限公司 | Real-time state early warning method based on distribution automation master station distribution transformer |
| CN111131239A (en) * | 2019-12-23 | 2020-05-08 | 杭州安恒信息技术股份有限公司 | Network security device, method, equipment and medium |
| CN111191883A (en) * | 2019-12-17 | 2020-05-22 | 国网江苏省电力有限公司电力科学研究院 | Intelligent distribution transformer terminal micro-application selection method and system |
| CN111639897A (en) * | 2020-05-26 | 2020-09-08 | 深圳市驴运通物流装备科技有限公司 | Cargo transportation equipment ICT management method and system |
| CN112381451A (en) * | 2020-12-03 | 2021-02-19 | 苏州工业园区测绘地理信息有限公司 | Production potential safety hazard monitoring and closed-loop disposal method |
| CN112435448A (en) * | 2020-11-11 | 2021-03-02 | 广东电网有限责任公司广州供电局 | Low-voltage transformer area maintenance method and system, electronic equipment and storage medium |
| CN113673717A (en) * | 2021-08-18 | 2021-11-19 | 苏州罗约科技有限公司 | New energy converter management method, system, server and storage medium |
| CN113708350A (en) * | 2021-06-25 | 2021-11-26 | 中国电力科学研究院有限公司 | Power distribution station heavy overload abnormity judgment method and system based on cloud edge cooperation |
| CN113887926A (en) * | 2021-09-28 | 2022-01-04 | 国家电网有限公司华东分部 | Power grid auditing system and method |
| CN116911678A (en) * | 2023-07-17 | 2023-10-20 | 国网宁夏电力有限公司吴忠供电公司 | Power quality early warning method and system based on data acquisition |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682818A (en) * | 2016-12-12 | 2017-05-17 | 国网北京市电力公司 | Power distribution network information processing method and apparatus |
| CN108053151A (en) * | 2018-01-18 | 2018-05-18 | 国网福建省电力有限公司 | A kind of supplying power allocation ability real-time analysis method based on GIS Simulation spatial services |
| CN108306286A (en) * | 2018-01-23 | 2018-07-20 | 国网江西省电力有限公司电力科学研究院 | A kind of power distribution network active forewarning workform management method and device |
| CN108460517A (en) * | 2018-01-23 | 2018-08-28 | 国网江西省电力有限公司电力科学研究院 | A kind of power distribution network management-control method and device |
| CN108665186A (en) * | 2018-05-22 | 2018-10-16 | 广东电网有限责任公司电力科学研究院 | Distribution transforming heavy-overload blackouts monitoring method and device based on metering automation system |
| CN108776273A (en) * | 2018-05-31 | 2018-11-09 | 广州供电局有限公司 | Distributing net platform region monitoring method, apparatus and system |
| CN109038552A (en) * | 2018-07-26 | 2018-12-18 | 国网浙江省电力有限公司温州供电公司 | Distribution net equipment running state analysis method and device based on big data |
-
2018
- 2018-12-21 CN CN201811572297.3A patent/CN109583790A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682818A (en) * | 2016-12-12 | 2017-05-17 | 国网北京市电力公司 | Power distribution network information processing method and apparatus |
| CN108053151A (en) * | 2018-01-18 | 2018-05-18 | 国网福建省电力有限公司 | A kind of supplying power allocation ability real-time analysis method based on GIS Simulation spatial services |
| CN108306286A (en) * | 2018-01-23 | 2018-07-20 | 国网江西省电力有限公司电力科学研究院 | A kind of power distribution network active forewarning workform management method and device |
| CN108460517A (en) * | 2018-01-23 | 2018-08-28 | 国网江西省电力有限公司电力科学研究院 | A kind of power distribution network management-control method and device |
| CN108665186A (en) * | 2018-05-22 | 2018-10-16 | 广东电网有限责任公司电力科学研究院 | Distribution transforming heavy-overload blackouts monitoring method and device based on metering automation system |
| CN108776273A (en) * | 2018-05-31 | 2018-11-09 | 广州供电局有限公司 | Distributing net platform region monitoring method, apparatus and system |
| CN109038552A (en) * | 2018-07-26 | 2018-12-18 | 国网浙江省电力有限公司温州供电公司 | Distribution net equipment running state analysis method and device based on big data |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110474420A (en) * | 2019-07-22 | 2019-11-19 | 漳州科华技术有限责任公司 | Control method, control device and the controlling terminal of multi-standard uninterruptible power supply |
| CN110542779A (en) * | 2019-09-26 | 2019-12-06 | 江苏超越新能源科技集团股份有限公司 | district fault early warning method |
| CN110927495A (en) * | 2019-12-06 | 2020-03-27 | 张彩东 | Abnormity monitoring method for electric power metering terminal equipment |
| CN111191883A (en) * | 2019-12-17 | 2020-05-22 | 国网江苏省电力有限公司电力科学研究院 | Intelligent distribution transformer terminal micro-application selection method and system |
| CN111191883B (en) * | 2019-12-17 | 2022-08-23 | 国网江苏省电力有限公司电力科学研究院 | Intelligent distribution transformer terminal micro-application selection method and system |
| CN111131239B (en) * | 2019-12-23 | 2022-03-22 | 杭州安恒信息技术股份有限公司 | Network security device, method, equipment and medium |
| CN111131239A (en) * | 2019-12-23 | 2020-05-08 | 杭州安恒信息技术股份有限公司 | Network security device, method, equipment and medium |
| CN111103465A (en) * | 2019-12-27 | 2020-05-05 | 国网福建省电力有限公司 | Real-time state early warning method based on distribution automation master station distribution transformer |
| CN111639897A (en) * | 2020-05-26 | 2020-09-08 | 深圳市驴运通物流装备科技有限公司 | Cargo transportation equipment ICT management method and system |
| CN112435448A (en) * | 2020-11-11 | 2021-03-02 | 广东电网有限责任公司广州供电局 | Low-voltage transformer area maintenance method and system, electronic equipment and storage medium |
| CN112381451A (en) * | 2020-12-03 | 2021-02-19 | 苏州工业园区测绘地理信息有限公司 | Production potential safety hazard monitoring and closed-loop disposal method |
| CN113708350A (en) * | 2021-06-25 | 2021-11-26 | 中国电力科学研究院有限公司 | Power distribution station heavy overload abnormity judgment method and system based on cloud edge cooperation |
| CN113708350B (en) * | 2021-06-25 | 2023-10-24 | 中国电力科学研究院有限公司 | Cloud edge cooperation-based power distribution area heavy overload abnormality judgment method and system |
| CN113673717A (en) * | 2021-08-18 | 2021-11-19 | 苏州罗约科技有限公司 | New energy converter management method, system, server and storage medium |
| CN113887926A (en) * | 2021-09-28 | 2022-01-04 | 国家电网有限公司华东分部 | Power grid auditing system and method |
| CN116911678A (en) * | 2023-07-17 | 2023-10-20 | 国网宁夏电力有限公司吴忠供电公司 | Power quality early warning method and system based on data acquisition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109583790A (en) | Power distribution network active O&M method and system based on real-time monitoring | |
| CN104730458B (en) | Generator excited system state monitoring method | |
| CN103138280B (en) | Method of controlling the power input to a HVDC transmission link | |
| CN102074956B (en) | Power grid risk management method and system | |
| WO2015129084A1 (en) | Power-system monitoring device, power-system control device, and power-system monitoring method | |
| CN105548744A (en) | Substation equipment fault identification method based on operation-detection large data and system thereof | |
| CN102121966A (en) | Measuring method and analytical system for low-voltage ride through capability of wind driven generator | |
| CN104820884A (en) | Power network dispatching real-time data inspection method combined with characteristics of power system | |
| CN109510227A (en) | Converter station bus steady state voltage determines method and apparatus after a kind of locking of direct current | |
| CN115333062B (en) | Fault processing method and device for power distribution network system | |
| CN106651128A (en) | Power transmission and transformation system risk early warning method | |
| CN105932777A (en) | Intelligent processing method for transmission line fault and apparatus thereof | |
| CN104636990B (en) | Grid equipment stoppage in transit reason based on N-1 criterion is investigated in real time and method for early warning | |
| CN109802417A (en) | Reply DC Line Fault impacts the power grid emergency control method and device of weak communication channel | |
| Jahan et al. | An analysis of smart grid communication infrastructure & cyber security in smart grid | |
| CN115981199A (en) | Sine screen monitoring data transmission system based on Internet of things | |
| CN110265998A (en) | A kind of method and device that stabilized control system strategy definite value is checked | |
| CN107769993A (en) | Towards the data traffic monitoring method of power network big data distributed system | |
| CN104950844B (en) | Intelligent substation station domain Protection control system detection method and device | |
| CN110011348A (en) | A kind of large capacity VSC converter station phase modifier configuration method and device | |
| Swathika et al. | Communication assisted overcurrent protection of microgrid | |
| Santos et al. | Real-time closed loop system controlled by an Artificial Neural Network for estimation of the optimal load shedding | |
| Woo et al. | Risk assessment for the security of power information control systems | |
| CN114047442A (en) | Fault ride-through detection method, device and system for new energy station | |
| CN106355513A (en) | Analysis method for unit adjustable contribution area based on auxiliary machine state assessment of unit |
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: 20190405 |