CN109657912A - A kind of visual power grid risk management and control method and system - Google Patents
A kind of visual power grid risk management and control method and system Download PDFInfo
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Abstract
The present invention relates to power grid O&M technical fields, more particularly to a kind of visual power grid risk management and control method and system, comprising the following steps: A) topological structure of target power distribution network, failure rate are obtained to the function of load, history mainteinance repair information and interruption maintenance plan；B the line loss of real time load and each route) is obtained；C) failure rate multiplied by after benign coefficient be used as final real time fail rate；D risk equipment collection) is determined according to final real time fail rate, history mainteinance repair information and same day interruption maintenance plan；E) the topological structure of visualization display target power distribution network will show fault pre-alarming information and control information on topological node where the equipment in risk equipment collection.Substantial effect of the invention is: by visually showing, real-time early warning is carried out to power grid risk equipment, and the Response project of real-time display power supply unit failure and history dispose experience, instruct the quick disposal facility failure of dispatcher, fault spread is avoided, bigger loss is caused.
Description
Technical field
The present invention relates to power grid O&M technical fields, and in particular to a kind of visual power grid risk management and control method and is
System.
Background technique
With being growing for power grid scale, the use of various smart machines, current power distribution network show it is intelligent and
The characteristics of complication.Economical at present further development, the quantity of each class factory are continuously increased.With science and technology progress, this
Machinery equipment used in a little factories also tends to complicate.Especially with a large amount of capacitives and the machine of inductive load, so that
Harmonic wave and power flow changing in power grid more complicate.The stable operation of power grid is faced with huge test.It is supplied in addition to increasing
Electric equipment overhauls dynamics, and discovery work as early as possible is avoided outside grid collapses as far as possible, made in the power supply unit of defective mode
Kind failure handling program is finalized, and accelerates failure disposal process, is also highly important work.And the operation of power grid at present
In maintenance, lacks to the timely early warning of power grid risk equipment and the failure handling program of real-time display risk equipment and go through
History failure disposes experience.Reduce power grid disposition power supply unit failure efficiency, be easy to miss the best disposition phase, have cause it is chain
The huge hidden danger of reaction.Thus need a kind of visual power grid risk management and control mode.
Chinese patent CN108074021A, publication date on May 25th, 2018, a kind of power distribution network Risk Identification system and side
Method, which comprises obtain multi-source information data；Data needed for analysis risk simultaneously extract feature of risk；Analyze feature of risk；
Calculation risk identifying index simultaneously judges electric network state；Analyze and determine the position and reason that risk occurs；Emulation risk simultaneously analyzes wind
The severity nearly occurred；Comprehensive assessment risk, and issue Risk-warning information；The system comprises: multi-source information system and
Intelligent monitoring terminal is connected by data interface module and communication device with data center；Data center and data analysis and processing mould
Block is connected, and data analysis models and analysis module, risk source with Risk Identification respectively with processing module and risk visualization model
Locating module and the identification of risk reason are connected with analysis module；Risk emulation module with except multi-source information system and intelligent monitoring it is whole
Module outside end is connected.This programme gives accurate Risk-warning as a result, providing effective decision for power grid operation personnel
According to offer technical support.But its efficiency that cannot improve electric network fault disposition.
Summary of the invention
The technical problem to be solved by the present invention is at present to the disposal efficiency of power supply unit failure in the operation and maintenance of power grid
Low technical problem.Propose a kind of pair of power grid risk equipment real-time early warning visualization display prediction scheme and historical failure disposition warp
The visual power grid risk management and control method and system tested.
In order to solve the above technical problems, the technical solution used in the present invention are as follows: a kind of visual power grid risk management and control
Method, comprising the following steps: A) obtain the topology information of target power distribution network, power supply unit failure rate to the function of load,
The history mainteinance repair information and power distribution network same day interruption maintenance plan of power supply unit；B it) obtains to power in target power distribution network and set
The line loss of each route in standby real time load and power distribution network；C the real time load of power supply unit) is substituted into power supply unit failure rate
To the function of load, power supply unit real time fail rate is obtained, real time fail rate is final former in real time multiplied by being used as after benign coefficient
Barrier rate, the benign coefficient are determined according to the line loss of route where power supply unit；D) according to the final real time fail rate of power supply unit,
The history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan determine risk equipment collection；E) visualization is aobvious
The topological structure for showing target power distribution network will show fault pre-alarming information and event on topological node where the equipment in risk equipment collection
Barrier control information.
Preferably, the power supply unit failure rate is to the function acquisition methods of load the following steps are included: A1) it obtains together
Class power supply unit historical failure data and historic load；A2) Weeding environment and such equipment typical operating environment
The historical failure data and historic load of different power supply units；A3 whole similar power supply units in power distribution network) are obtained
Historic load record, the nominal load that the historic load of similar power supply unit removes corresponding historical Device obtains historic load percentage
Than record；A4 the failure logging for) choosing a power supply unit, intercepts before the power supply unit breaks down power supply unit in T time
Average load, by average load except power supply unit nominal load obtain characteristic load percentage r；A5 similar power supply) is counted to set
In standby historic load, meet the times N that average load percentage is equal with characteristic load percentage r in T time；A6) it is with 1/N
The corresponding failure rate of characteristic load percentage r repeats step A4-A6 until traversing whole failure loggings, obtain several groups (1/N,
R) data pair；A7) using r as independent variable, 1/N is functional value, and by several groups (1/N, r) data to function is fitted to, which makees
It is power supply unit failure rate to the function of load.Typical operating environment refers to that typical installation locations, the working environment of same category of device are flat
Equal temperature, working environment medial humidity and work average load, installation site is for example indoor and outdoor, if 80% or more same category of device
It is installed in interior, installation site is that outdoor power supply unit is the data for needing to reject.If the building ring of similar power supply unit
The average value of border temperature is K, and the power supply unit that falls into section (K-j, K+j) of working environment mean temperature accounts for similar power supply and sets
Working environment mean temperature is then fallen into typical section as typical section by section (K-j, K+j) by 70% or more of standby quantity
The data of the power supply unit of (K-j, K+j) outside are rejected, the same work of method between the determination Typical Areas of working environment humidity and load
Make temperature.
Preferably, the calculation method of the benign coefficient is the following steps are included: C1) choose a branch route or trunk
Route obtains the route input side active load and the total active load of outlet side, and it is always active that input side active load subtracts outlet side
Load is the line loss of the route；C2) repeat step C1 until traversal target distribution in whole basic routing lines and branch route,
The average line loss of whole routes is calculated, line loss is indicated with percents；C3) the benign coefficient of power supply unit is equal to where it
The ratio of the line loss of route and the average line loss of whole routes.
Preferably, the determination method of the risk equipment collection is the following steps are included: D1) if event occurred for power supply unit
Barrier, and the current real time load of the power supply unit reaches the average load before failure in the t time, and the power supply unit was overhauled away from last time
Time is more than the half of time between overhauls(TBO), then risk equipment collection is added in the power supply unit；D2) if the final real-time event of power supply unit
Barrier rate is higher than upper threshold value, then risk equipment collection is added in the power supply unit；D3) if power supply unit is in power distribution network same day interruption maintenance
In intended scope, then risk equipment collection is added in the power supply unit.
Preferably, the failure control information includes that the Response project of such equipment fault and same category of device same type are gone through
The disposition of history failure records.
Preferably, the topology information of the target power distribution network includes substation, trunk power supply line, branch line
The user information in power supply unit and distribution on road, distribution line, the user information in the distribution includes user's same day
Prediction and real time load information, the user are predicted in real time when daily load for calculating power supply unit load, institute in real time for load
State real time load information for roll update user work as daily load predict in real time.
A kind of visual power grid risk management and control system is suitable for a kind of visual power grid risk management and control side as the aforementioned
Method, including memory, communication device, CPU, display and human-computer interaction device, the memory, communication device, display with
And human-computer interaction device is connect with CPU, the memory is stored with target area topological structure of electric, power supply unit history is protected
Service information and same day interruption maintenance plan are supported, the communication device obtains the line of power supply unit real time load and each route
Damage, the CPU execute following steps: A) topology information that obtains target power distribution network, power supply unit failure rate is to load
Function, the history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan；B it) obtains in target power distribution network
The line loss of each route in the real time load and power distribution network of power supply unit；C the real time load of power supply unit) is substituted into power supply unit
Failure rate obtains power supply unit real time fail rate to the function of load, and real time fail rate is final multiplied by being used as after benign coefficient
Real time fail rate, the benign coefficient are determined according to the line loss of route where power supply unit；D) finally real-time according to power supply unit
Failure rate, the history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan determine risk equipment collection；E)
The topological structure of visualization display target power distribution network will show fault pre-alarming on topological node where the equipment in risk equipment collection
Information and failure manage information.
Substantial effect of the invention is: by visually showing, real-time early warning is carried out to power grid risk equipment, and real
When show power supply unit failure Response project and history disposition experience, instruct the quick disposal facility failure of dispatcher, avoid
Fault spread causes bigger loss.
Detailed description of the invention
Fig. 1 is one power grid risk management and control method flow diagram of embodiment.
Fig. 2 is function acquisition methods flow diagram of the one power supply unit failure rate of embodiment to load.
Fig. 3 is that one risk equipment collection of embodiment determines method flow block diagram.
Fig. 4 is one power grid risk management and control system structure diagram of embodiment.
Wherein: 100, memory, 200, communication device, 300, display, 400, CPU, 500, human-computer interaction device.
Specific embodiment
Below by specific embodiment, and in conjunction with attached drawing, a specific embodiment of the invention is further described in detail.
Embodiment one:
A kind of visual power grid risk management and control method, as shown in Figure 1, being one power grid risk management and control method flow chart element of embodiment
Figure, the present embodiment is the following steps are included: A) topology information of target power distribution network, power supply unit failure rate are obtained to load
Function, the history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan；B it) obtains in target power distribution network
The line loss of each route in the real time load and power distribution network of power supply unit；C the real time load of power supply unit) is substituted into power supply unit
Failure rate obtains power supply unit real time fail rate to the function of load, and real time fail rate is final multiplied by being used as after benign coefficient
Real time fail rate, benign coefficient are determined according to the line loss of route where power supply unit；D) according to the final real time fail of power supply unit
Rate, the history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan determine risk equipment collection；E) visual
The topological structure for changing displaying target power distribution network will show fault pre-alarming information on topological node where the equipment in risk equipment collection
Information is managed with failure.
As shown in Fig. 2, be one power supply unit failure rate of embodiment to the function acquisition methods flow diagram of load, including with
Lower step: A1) obtain similar power supply unit historical failure data and historic load；A2) Weeding environment and such
The historical failure data and historic load of the different power supply unit of equipment typical operating environment；A3 it) obtains in power distribution network
All the historic load record of similar power supply unit, the historic load of similar power supply unit remove the nominal load of corresponding historical Device
Obtain historic load percentage registration；A4 the failure logging for) choosing a power supply unit intercepts before the power supply unit breaks down
The average load of power supply unit in T time, by average load except power supply unit nominal load obtains characteristic load percentage r；A5)
It counts in similar power supply unit historic load, meets time equal with characteristic load percentage r of average load percentage in T time
Number N；A6) the corresponding failure rate of percentage load r characterized by 1/N, repeats step A4-A6 until traversing whole failure loggings,
Obtain several groups (1/N, r) data pair；A7) using r as independent variable, 1/N is functional value, by several groups (1/N, r) data to fitting
For function, the function is as power supply unit failure rate to the function of load.
The calculation method of benign coefficient is the following steps are included: C1) a branch route or basic routing line are chosen, obtain the line
Road input side active load and the total active load of outlet side, it is the route that input side active load, which subtracts the total active load of outlet side,
Line loss；C2 step C1) is repeated until traversing the whole basic routing lines and branch route in target distribution, calculates whole routes
Average line loss, line loss are indicated with percents；C3 the line loss of route where) the benign coefficient of power supply unit is equal to it and complete
The ratio of the average line loss of portion's route.
As shown in figure 3, determining method flow block diagram, the determination method packet of risk equipment collection for one risk equipment collection of embodiment
Include following steps: D1) if failure occurred for power supply unit, and the current real time load of the power supply unit reached before failure in the t time
Average load, and the power supply unit away from repair time last time be more than the time between overhauls(TBO) half, then by the power supply unit be added wind
Dangerous equipment collection；D2) if the final real time fail rate of power supply unit is higher than upper threshold value, which is added risk equipment
Collection；D3) if power supply unit is in power distribution network same day interruption maintenance intended scope, which is added risk equipment collection.
It includes the Response project of such equipment fault and the disposition of same category of device same type historical failure that failure, which manages information,
Record.
The topology information of target power distribution network include substation, trunk power supply line, branch route, on distribution line
User information in power supply unit and distribution, the user information in distribution include user when daily load predict in real time and real-time
Load information, user predict that, for calculating power supply unit load, real time load information is used for rolling to update when daily load in real time
It is predicted in real time when daily load at family.
As shown in figure 4, being one power grid risk management and control system structure diagram of embodiment, including memory 100, communication device
200, CPU400, display 300 and human-computer interaction device 500, the memory 100, communication device 200, display 300 and
Human-computer interaction device 500 is connect with CPU400, and the memory 100 is stored with target area topological structure of electric, power supply is set
Standby history mainteinance repair information and same day interruption maintenance plan, the communication device 200 obtain power supply unit real time load with
And the line loss of each route, the CPU400 execute following steps: A) obtain topology information, the power supply unit of target power distribution network
Failure rate is to the function of load, the history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan；B it) obtains
Take the line loss of each route in the real time load and power distribution network of power supply unit in target power distribution network；C) by the real-time negative of power supply unit
It carries and substitutes into power supply unit failure rate to the function of load, power supply unit real time fail rate is obtained, by real time fail rate multiplied by benign
Final real time fail rate is used as after coefficient, the benign coefficient is determined according to the line loss of route where power supply unit；D) according to confession
The final real time fail rate of electric equipment, the history mainteinance repair information of power supply unit and power distribution network same day interruption maintenance plan determine
Risk equipment collection；E) the topological structure of visualization display target power distribution network, by topological node where the equipment in risk equipment collection
Upper display fault pre-alarming information and failure manage information.
Above-mentioned embodiment is only a preferred solution of the present invention, not the present invention is made in any form
Limitation, there are also other variations and modifications on the premise of not exceeding the technical scheme recorded in the claims.
Claims (10)
1. a kind of visual power grid risk management and control method, which is characterized in that
The following steps are included:
A) topology information of acquisition target power distribution network, power supply unit failure rate are to the function of load, the history of power supply unit
Mainteinance repair information and power distribution network same day interruption maintenance plan；
B the line loss of each route in the real time load and power distribution network of power supply unit in target power distribution network) is obtained；
C the real time load of power supply unit) is substituted into power supply unit failure rate to the function of load, obtains power supply unit real time fail
Rate, by real time fail rate multiplied by final real time fail rate is used as after benign coefficient, the benign coefficient is according to where power supply unit
The line loss of route determines；
D) had a power failure according to the final real time fail rate of power supply unit, the history mainteinance repair information of power supply unit and the power distribution network same day
Maintenance plan determines risk equipment collection；
E) the topological structure of visualization display target power distribution network will show event on topological node where the equipment in risk equipment collection
Hinder warning information and failure manages information.
2. a kind of visual power grid risk management and control method according to claim 1, which is characterized in that
The power supply unit failure rate to the function acquisition methods of load the following steps are included:
A1 similar power supply unit historical failure data and historic load) are obtained；
A2) the historical failure data and history of the Weeding environment power supply unit different from such equipment typical operating environment
Load data；
A3) obtain the historic load record of all similar power supply units in power distribution network, the historic load of similar power supply unit except pair
The nominal load of historical Device is answered to obtain historic load percentage registration；
A4 the failure logging for) choosing a power supply unit intercepts before the power supply unit breaks down the flat of power supply unit in T time
It loads, by average load except power supply unit nominal load obtains characteristic load percentage r；
A5 it) counts in similar power supply unit historic load, meets average load percentage and characteristic load percentage r in T time
Equal times N；
A6) the corresponding failure rate of percentage load r characterized by 1/N, repeats step A4-A6 until traversing whole failure loggings,
Obtain several groups (1/N, r) data pair；
A7) using r as independent variable, 1/N is functional value, obtains the fitting function of several groups (1/N, r) data pair, the function is as confession
Function of the electric equipment failure rate to load.
3. a kind of visual power grid risk management and control method according to claim 1 or 2, which is characterized in that
The calculation method of the benign coefficient the following steps are included:
C1 a branch route or basic routing line) are chosen, the route input side active load and the total active load of outlet side are obtained,
Input side active load subtracts the line loss that the total active load of outlet side is the route；
C2 step C1) is repeated until traversing the whole basic routing lines and branch route in target distribution, calculates whole routes
Average line loss, line loss are indicated with percents；
C3 the ratio of the line loss of route where) the benign coefficient of power supply unit is equal to it and the average line loss of whole routes.
4. a kind of visual power grid risk management and control method according to claim 1 or 2, which is characterized in that
The determination method of the risk equipment collection the following steps are included:
D1) if failure occurred for power supply unit, and the current real time load of the power supply unit reaches average negative in the t time before failure
Carry, and the power supply unit away from repair time last time be more than the time between overhauls(TBO) half, then by the power supply unit be added risk equipment collection；
D2) if the final real time fail rate of power supply unit is higher than upper threshold value, which is added risk equipment collection；
D3) if power supply unit is in power distribution network same day interruption maintenance intended scope, which is added risk equipment collection.
5. a kind of visual power grid risk management and control method according to claim 3, which is characterized in that
The determination method of the risk equipment collection the following steps are included:
D1) if failure occurred for power supply unit, and the current real time load of the power supply unit reaches average negative in the t time before failure
Carry, and the power supply unit away from repair time last time be more than the time between overhauls(TBO) half, then by the power supply unit be added risk equipment collection；
D2) if the final real time fail rate of power supply unit is higher than upper threshold value, which is added risk equipment collection；
D3) if power supply unit is in power distribution network same day interruption maintenance intended scope, which is added risk equipment collection.
6. a kind of visual power grid risk management and control method according to claim 1 or 2, which is characterized in that
The failure control information includes the Response project of such equipment fault and the disposition of same category of device same type historical failure
Record.
7. a kind of visual power grid risk management and control method according to claim 3, which is characterized in that
The failure control information includes the Response project of such equipment fault and the disposition of same category of device same type historical failure
Record.
8. a kind of visual power grid risk management and control method according to claim 1 or 2, which is characterized in that
The topology information of the target power distribution network include substation, trunk power supply line, branch route, on distribution line
User information in power supply unit and distribution, the user information in the distribution include user when daily load is predicted in real time and
Real time load information, the user predict that, for calculating power supply unit load, the real time load information is used when daily load in real time
User is updated when daily load is predicted in real time in rolling.
9. a kind of visual power grid risk management and control method according to claim 3, which is characterized in that
The topology information of the target power distribution network include substation, trunk power supply line, branch route, on distribution line
User information in power supply unit and distribution, the user information in the distribution include user when daily load is predicted in real time and
Real time load information, the user predict that, for calculating power supply unit load, the real time load information is used when daily load in real time
User is updated when daily load is predicted in real time in rolling.
10. a kind of visual power grid risk management and control system is suitable for a kind of such as the described in any item visualizations of claim 1-9
Power grid risk management and control method, which is characterized in that
Including memory, communication device, CPU, display and human-computer interaction device, the memory, communication device, display with
And human-computer interaction device is connect with CPU, the memory is stored with target area topological structure of electric, power supply unit history is protected
Service information and same day interruption maintenance plan are supported, the communication device obtains the line of power supply unit real time load and each route
Damage, the CPU execute following steps:
A) topology information of acquisition target power distribution network, power supply unit failure rate are to the function of load, the history of power supply unit
Mainteinance repair information and power distribution network same day interruption maintenance plan；
B the line loss of each route in the real time load and power distribution network of power supply unit in target power distribution network) is obtained；
C the real time load of power supply unit) is substituted into power supply unit failure rate to the function of load, obtains power supply unit real time fail
Rate, by real time fail rate multiplied by final real time fail rate is used as after benign coefficient, the benign coefficient is according to where power supply unit
The line loss of route determines；
D) had a power failure according to the final real time fail rate of power supply unit, the history mainteinance repair information of power supply unit and the power distribution network same day
Maintenance plan determines risk equipment collection；
E) the topological structure of visualization display target power distribution network will show event on topological node where the equipment in risk equipment collection
Hinder warning information and failure manages information.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110264095A (en) * | 2019-06-25 | 2019-09-20 | 昆明能讯科技有限责任公司 | A kind of Distribution Network Equipment visualization auxiliary O&M method based on GIS-Geographic Information System |
| CN110688507A (en) * | 2019-08-13 | 2020-01-14 | 南方电网科学研究院有限责任公司 | Power distribution network line loss panoramic visual display system and method |
| CN111612233A (en) * | 2020-05-13 | 2020-09-01 | 云南电网有限责任公司电力科学研究院 | Method and device for obtaining importance scores of power distribution network line re-jump influence factors |
| CN111768076A (en) * | 2020-05-28 | 2020-10-13 | 国网浙江省电力有限公司绍兴供电公司 | Monitoring alarm signal clustering method taking power grid event as center |
| CN112070396A (en) * | 2020-09-08 | 2020-12-11 | 国网河北省电力有限公司石家庄供电分公司 | Visualization-based regional power supply risk assessment system and method |
| CN112418499A (en) * | 2020-11-16 | 2021-02-26 | 广东电网有限责任公司 | Power grid maintenance planning optimization method and device and computer readable storage medium |
| CN112668249A (en) * | 2020-07-17 | 2021-04-16 | 国网山东省电力公司电力科学研究院 | Online construction method and system for major repair technical modification scheme of primary equipment of power grid |
| CN113191074A (en) * | 2021-04-13 | 2021-07-30 | 北京中大科慧科技发展有限公司 | Machine room power supply parameter detection method for data center |
| CN114156865A (en) * | 2021-11-01 | 2022-03-08 | 国网天津市电力公司电力科学研究院 | Low-voltage distribution network topology generation and fault prediction method considering state perception |
| CN114462631A (en) * | 2021-12-10 | 2022-05-10 | 云南电网有限责任公司玉溪供电局 | Power grid maintenance risk early warning method |
| CN116389223A (en) * | 2023-04-26 | 2023-07-04 | 福芯高照(上海)科技有限公司 | Artificial intelligence visual early warning system and method based on big data |
| CN117057590A (en) * | 2023-10-11 | 2023-11-14 | 国网山东省电力公司博兴县供电公司 | Power grid overhaul management system and method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903185A (en) * | 2012-12-24 | 2014-07-02 | 天津市电力公司 | Plan and fault power failure range visualization method based on power grid GIS |
| CN104124686A (en) * | 2014-07-28 | 2014-10-29 | 国家电网公司 | Distribution network blocking theory based power grid optimized operation method |
| CN105334749A (en) * | 2015-11-03 | 2016-02-17 | 北京航空航天大学 | Value resolving method of fault correlation voting system reliability mathematic model |
| CN105470951A (en) * | 2015-12-10 | 2016-04-06 | 浙江大学 | Big data mining technology based reliable power supply capacity evaluation method for power distribution network |
| US20160190789A1 (en) * | 2013-11-28 | 2016-06-30 | State Grid Corporation Of China | Service restoration method for multi-faults in distribution network |
| CN106655158A (en) * | 2016-10-26 | 2017-05-10 | 珠海许继芝电网自动化有限公司 | Smart grid based distribution network self-healing control system and method |
| CN107122920A (en) * | 2017-05-19 | 2017-09-01 | 浙江大学 | A kind of transformer increase-volume scheme Economic Analysis Method |
-
2018
- 2018-11-15 CN CN201811361877.8A patent/CN109657912B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903185A (en) * | 2012-12-24 | 2014-07-02 | 天津市电力公司 | Plan and fault power failure range visualization method based on power grid GIS |
| US20160190789A1 (en) * | 2013-11-28 | 2016-06-30 | State Grid Corporation Of China | Service restoration method for multi-faults in distribution network |
| CN104124686A (en) * | 2014-07-28 | 2014-10-29 | 国家电网公司 | Distribution network blocking theory based power grid optimized operation method |
| CN105334749A (en) * | 2015-11-03 | 2016-02-17 | 北京航空航天大学 | Value resolving method of fault correlation voting system reliability mathematic model |
| CN105470951A (en) * | 2015-12-10 | 2016-04-06 | 浙江大学 | Big data mining technology based reliable power supply capacity evaluation method for power distribution network |
| CN106655158A (en) * | 2016-10-26 | 2017-05-10 | 珠海许继芝电网自动化有限公司 | Smart grid based distribution network self-healing control system and method |
| CN107122920A (en) * | 2017-05-19 | 2017-09-01 | 浙江大学 | A kind of transformer increase-volume scheme Economic Analysis Method |
Non-Patent Citations (1)
| Title |
|---|
| 徐磊，等: "智能电网可视化平台的设计与实现", 《河北电力技术》 * |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110264095A (en) * | 2019-06-25 | 2019-09-20 | 昆明能讯科技有限责任公司 | A kind of Distribution Network Equipment visualization auxiliary O&M method based on GIS-Geographic Information System |
| CN110688507A (en) * | 2019-08-13 | 2020-01-14 | 南方电网科学研究院有限责任公司 | Power distribution network line loss panoramic visual display system and method |
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| CN112418499A (en) * | 2020-11-16 | 2021-02-26 | 广东电网有限责任公司 | Power grid maintenance planning optimization method and device and computer readable storage medium |
| CN113191074B (en) * | 2021-04-13 | 2023-11-21 | 北京中大科慧科技发展有限公司 | Machine room power supply parameter detection method for data center |
| CN113191074A (en) * | 2021-04-13 | 2021-07-30 | 北京中大科慧科技发展有限公司 | Machine room power supply parameter detection method for data center |
| CN114156865A (en) * | 2021-11-01 | 2022-03-08 | 国网天津市电力公司电力科学研究院 | Low-voltage distribution network topology generation and fault prediction method considering state perception |
| CN114156865B (en) * | 2021-11-01 | 2024-04-23 | 国网天津市电力公司电力科学研究院 | Low-voltage distribution network topology generation and fault prediction method considering state perception |
| CN114462631A (en) * | 2021-12-10 | 2022-05-10 | 云南电网有限责任公司玉溪供电局 | Power grid maintenance risk early warning method |
| CN116389223A (en) * | 2023-04-26 | 2023-07-04 | 福芯高照(上海)科技有限公司 | Artificial intelligence visual early warning system and method based on big data |
| CN116389223B (en) * | 2023-04-26 | 2023-12-22 | 郑州数智科技集团有限公司 | Artificial intelligence visual early warning system and method based on big data |
| CN117057590A (en) * | 2023-10-11 | 2023-11-14 | 国网山东省电力公司博兴县供电公司 | Power grid overhaul management system and method |
| CN117057590B (en) * | 2023-10-11 | 2024-02-02 | 国网山东省电力公司博兴县供电公司 | Power grid overhaul management system and method |
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