CN106981876A - Distribution network reliability evaluation method based on line segment model - Google Patents
Distribution network reliability evaluation method based on line segment model Download PDFInfo
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- CN106981876A CN106981876A CN201710350898.9A CN201710350898A CN106981876A CN 106981876 A CN106981876 A CN 106981876A CN 201710350898 A CN201710350898 A CN 201710350898A CN 106981876 A CN106981876 A CN 106981876A
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- line segment
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- load point
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention discloses a kind of distribution network reliability evaluation method based on line segment model, its step includes:Based on State Grid Corporation of China's spatial Information Service platform, the topological file of power network single line for meeting IEC CIM standards is extracted;Design lines segment model, and line segment model is classified;Design line segment and calculate analytic unit;The analysis result of fusion line segment model analytic unit, basic example is provided with reference to the reliability index that big data is analyzed, and recycles fault mode consequences analysis method to carry out evaluating reliability of distribution network.The assessment models of the present invention are automatically generated, and realize the express statistic of load point reliability index;Data analysis has science, reduces re-defining by bringing of being segmented of eye recognition, omits the phenomenons such as segmentation;Operating efficiency is greatly lifted, based on unified data-interface, single line Calculation of Reliability analysis time only needs about 3 minutes.
Description
Technical field
The reliability assessment of main research power distribution network of the invention, and design and research and develop a set of number with power network topology characteristic
Model and analytic unit are learned, support is provided for the reliability assessment of distribution network structure.
Background technology
Traditional system adequacy evaluation work generally comprise Data Collection, data analysis, data inputting, index calculate,
The links such as index issue.Computation model fails automation, and parameter model sample is smaller, and individual event evaluation work is with regard to Data Collection, record
Enter, data filtering work tediously long, inefficiency.Simultaneously because Power grid structure is irregular tree, a graph structure, power network can
Simple numerical value is not represented by property to add up, complicated Model Abstraction is also included, and parameter collects the formulation of principle, therefore conventional
Reliability assessment work can not truly reflect the reliability index of distribution.
Carry out the research work of evaluating reliability of distribution network line segment model automatic segmentation research, be distribution using line segment model
User dependability and systems reliability analysis, which provide technical support work, extremely important meaning, is reliability assessment work
Problem in the urgent need to address.By the analysis to operation of power networks data, electric network reliability parameter model, and power network topology are generated
Automatic segmentation technology, will greatly provide power distribution network assess operating efficiency, realize grid company, electric power responsible consumer it is reliable
Property evaluation work cost efficiency.
Traditional evaluating reliability of distribution network technology is using affiliated pass of the manual type using the Chinese Unit account of plant of database
System is segmented to circuit, and reliability assessment is carried out according to segmentation.This analytical technology being segmented from data terminal to circuit
Data volume is huge during analysis, and accuracy is relatively low, and system response time is long, it is impossible to meet accuracy and practicality need
Ask, and have ignored the characteristic of power network topology, such as on off state, electriferous state, power supply point.
The management for the model progress topological data for meeting electric network composition feature is not used in above prior art so that internal memory adds
Time-consuming for load process, and segmentation result accuracy rate is low, and the reliability assessment that the thus technology that ultimately results in is obtained is inaccurate, it is impossible to instruct
The reliability prompting of power network distribution network line.
The content of the invention
For the above-mentioned problems in the prior art, the present invention provides a kind of distribution network reliability based on line segment model
Appraisal procedure, method of the invention designs distinctive segment data analysis according to the topological structure of electric feature of power grid GIS system
Model, more meets actual framework condition, more science, and the evaluating reliability of distribution network result based on line segment model can be more preferable
Instruct planning and designing, construction retrofit and the service work of power distribution network.
Technical scheme is as follows:
Based on the distribution network reliability evaluation method of line segment model, comprise the following steps:
Step 1:Based on State Grid Corporation of China's spatial Information Service platform, the power network wall scroll for meeting IEC-CIM standards is extracted
Line topological file;
Step 2:Device model that binding analysis Net Frame of Electric Network model is obtained, connecting node model, boundary model, network mould
Type, design lines segment model, and line segment model is classified;
Step 3:Designing line segment calculating analytic unit, there is provided obtain the moulds such as node, border by the deviceelement in CIM files
Type, network model is obtained by node, border, is finally calculated again by these basic model data and is obtained different type line segment model
A whole set of calculates service, is supported to data are provided based on line segment model evaluating reliability of distribution network;
Step 4:The analysis result of fusion line segment model analytic unit, base is provided with reference to the reliability index that big data is analyzed
Plinth example, recycles fault mode consequences analysis method to carry out evaluating reliability of distribution network.
Further, the step 1, analysis classification is carried out to existing Net Frame of Electric Network model, forms device model, connecting node
Model, boundary model, network model, to support the calculating of line segment model to analyze.
Further, the step 2, the classification includes cut-offfing line segment, contact segmentation, cable segmentation, built on stilts segmentation.
Further, the step 4, by the consequence analyzed all possible event of failure and its caused to system, sets up
Fault mode consequences analysis table, load point and Reliability Index are calculated by the meter;Comprise the following steps that:
Step 4-1:Individual facilities failure is enumerated, circuit breaker trip after facility failure, Fault Isolation is included in, restored electricity
Journey, determines that power failure of the failure on each load point influences, further determines that fault outage rate and the fault outage time of each load point;
Step 4-2:By the fault outage rate and fault outage time list of each load point after all facility independent failures, shape
Into fault mode consequences analysis table;
Note failure after can cause load point LP have a power failure facility integrate as N, facility concentrate i-th of facility emergency shut-down coefficient with
Fault correction time is respectively λi、ri;The fault outage rate and fault outage time desired value of the load point are respectively λLP-F、
uLP-F;Then have:
Step 4-3:The load point is calculated according to load point fault outage rate desired value and fault outage time desired value
Other reliability indexs;
Step 4-4:The reliability index of each load point is calculated successively, and computing system reliability refers on this basis
Mark.
Beneficial effects of the present invention are as follows:
1st, assessment models are automatically generated
Single line topology is extracted according to GIS, generation meets the topological model of IE-CIM standards.Build topological analysis group
Part, realizes the automatic fractionation and identification of complicated line segment, generates the reliability statistics example data based on fault effects analysis algorithm,
So as to realize the express statistic of load point reliability index.
2nd, the data analysis of science
Wall scroll distribution line equipment amount is big, and each segment type rule is not exclusively unified.Platform provides the identification to topology segmentation
It is the automatic segmentation technology based on topology, reduces re-defining by bringing of being segmented of eye recognition, omits segmentation etc. existing
As.
3rd, operating efficiency is greatly lifted
According to current fail-safe analysis process, Data Collection, data prepare, and decompose, and the implementation process such as statistics calculating is come
See.Single line completes reliability assessment work and generally required one day as long as.Using the fail-safe analysis platform based on GIS come auxiliary
Help this to work, greatly reduce the time that data are artificially collected and decomposed.Based on unified data-interface, single line can
Calculating analysis by property about needs the time 3 minutes.
Brief description of the drawings
Fig. 1 is the power network single line topology diagram for meeting IEC-CIM standards;
Fig. 2 is CIM file structure schematic diagrames;
Fig. 3 is the special network structure illustraton of model with topological property being converted into by Fig. 1;
Fig. 4 is line segment model component figure;
The grid structure figure that Fig. 5 is made up of multigroup line segment.
Embodiment
Distribution network reliability evaluation method of the invention based on line segment model generally includes following steps:
1st, based on State Grid Corporation of China's spatial Information Service platform (hereinafter referred to as power network GIS platform), extraction meets IEC-
The topological file of the power network single line of CIM standards, carries out analysis classification to existing Net Frame of Electric Network model, is formed:Device model, company
Nodal analysis method, boundary model, network model are connect, to support the calculating of line segment model to analyze.
2nd, binding analysis Net Frame of Electric Network model is obtained device model, connecting node model, boundary model, network model,
Design lines segment model, and by line segment category of model to cut-off line segment, contact segmentation, cable segmentation, built on stilts segmentation etc..
3rd, there is provided obtain node, side by the deviceelement in CIM files for the line segment calculating analytic unit of a set of science of design
The models such as boundary, network model is obtained by node, border, is finally calculated again by these basic model data and is obtained different type line segment
A whole set of of model calculates service, is supported to data are provided based on line segment model evaluating reliability of distribution network.
Line segment analytic unit obtains node, border there is provided a whole set of by the deviceelement in CIM files, according to parsing
The node that arrives, feature modeling generation topological relation pessimistic concurrency control, then calculated by network model generate different type line segment model can
Deployment services, analytic unit service behind configuration database address by that can start.
Line segment analytic unit provides the occupation mode of remote call service, and power network line chart CIM files can be achieved and import clothes
Business and analysis result displaying.
Power network line chart CIM files import service and can realized to power network topology analysis function, and sectionalized line is calculated automatically
Function is called.User exports to the line chart in power grid GIS the file of CIM forms, and is directed into component, reuses certainly
Power grid structure analysis can be calculated as line segment model to support evaluating reliability of distribution network by dynamic generation sectionalized line function
Work.
4th, a set of reliability estimation method based on line segment model, the analysis knot of fusion line segment model analytic unit are devised
Really, basic example is provided with reference to the reliability index that big data is analyzed, recycles fault mode consequences analysis method to carry out power distribution network
Reliability assessment.
Calculate analysis to obtain after line segment rack, call reliability assessment service, you can specified distribution network line is carried out
Reliability assessment, it is possible to check analysis result.Whole process of calculation analysis is no more than 5 minutes, significantly convenient reliability assessment
Work, and obtained result is more specifically scientific.
After the completion of deployment of components, it is only necessary to according to the explanation in service call specification document, electricity is accessed by HTTP modes
Net topology Analysis Service, you can use power network topology analysis technology.
The present invention is described in further detail below in conjunction with the accompanying drawings.
First, the particular module design with topological relation
The present invention extracts the power network single line topology for meeting IEC-CIM standards based on GIS the whole networks power topology
(see Fig. 1), builds the piecewise analysis model based on feeder line.Node residing for complete description user, interconnection switch position, etc. letter
Breath.Described by GIS graphical nodes, structure power network topology analysis calculates service, realize line segment of the feeder line based on assessment rule certainly
Dynamic split builds " cut-offfing " " load " " line segment-wire " " line segment-cable " model, extracts computation model.Incorporating parametric model
Numerical analysis statistics completes the reliability assessment of user and circuit by Calculation of Reliability rule.
The composition of line chart CIM files
CIM files are by file header, element type are defined, the list of elements reaches, topology table reaches and constituted, CIM file structures such as Fig. 2 institutes
Show.CIM formalized description realizes that character code uses UTF-8 forms using XML.The CIM/XML realized based on CIM
Main body of the document data in file header and root element is constituted.Grid equipment resource and topology element are by device type using arranged side by side
Structure, defined in CIM data capsule labels.Logical construction between all elements, hierarchical relationship is all by the reference attribute of element
To realize.The annexation reflected by the main attribute of CIM elements and attribute constitutes the basic structure of CIM.
The element type of CIM files defines the element type for describing and occurring in the CIM files, and to each element type
Briefly described, include title, the ID etc. of element type.For each CIM files, the element type number that it is included is not
It is identical.
Element type definition is indispensable part in CIM files, for the topological kind equipment in electric network model and non-
Topological kind equipment is required for carrying out element type definition.
The CIM lists of elements up to part be indispensable part in CIM files, for the topological kind equipment in electric network model and
Non- topological kind equipment is required for the progress CIM lists of elements to reach.
Connect the relation of contact and arrangement terminal
One connecting node can connect multiple equipment terminal, but an arrangement terminal has and only one of which connecting node.
It is one-to-many relation between connecting node and arrangement terminal, a connecting node can connect multiple equipment terminal;Equipment end
It is man-to-man relation between son and connecting node, an arrangement terminal can only be connected in a connecting node.Power equipment leads to
Cross arrangement terminal and connecting node is connected with each other, form a big grid graph.
A series of meet originally is devised in the present invention to the deviceelement, node elements, the topological relation that are included in CIM files
The exclusive topology data model of invention, distinguishes the complicated topological relation model of original GIS platform, in terms of supporting segment data
Calculate, finally support reliability assessment.
Unified Device model:
2nd, the component according to topological model is designed
In order to calculate generation line segment model, the present invention proposes Power grid structure being converted into:
The 1st, point-like equipment be converted to " point " in mathematical modeling;
2nd, topological relation and linear device are converted on " side " in mathematical modeling;
3rd, the mathematical modeling of multigroup " point-side " composition one is thrown the net shape mathematical modeling.
It is possible thereby to which the Power grid structure in Fig. 1 is converted into a special network structure mould for carrying topological property
Type, such as Fig. 3.
According to the special net structure char for carrying topological relation, a set of component (modular construction for calculating line segment model is designed
Such as Fig. 4), component design includes device type, node type, boundary types, mesh-type, line segment type, and provides a series of
Service obtains, by source CIM file generation devices, node, border being obtained by the deviceelement in CIM files, by node, border
Net is obtained, finally there are different assessment levels according to distinct device type in power network again, calculating obtains line segment and is divided into line segment
Corresponding type is to support reliability assessment.
The data model being related in component:
Nodal analysis method
Title | Type | Annotation |
nextnodes | String | Downstream site collection |
nodeid | String | Node identification |
prenode | String | Superior node |
xy | String | Node coordinate |
Boundary model
Title | Type | Annotation |
EdgeRect | String | Graphic limit |
EndNode | String | Terminal node |
Hweight | String | It is wide |
Vweight | String | It is high |
prenode | String | Start node |
Network model
Title | Type | Annotation |
Fnode | String | Start node |
LayoutMode | String | Layout pattern |
origin | String | Initial plant |
outBounds | String | Trend |
netRegion | String | Network range |
Line segment model
Title | Type | Annotation |
endNode | String | Terminal node |
fhDeviec | String | Initial plant |
startNode | String | Start node |
swDevice | String | Termination device |
TnodeType | String | Line segment type |
Design meets the segment data type of the present invention
Title | Type | Annotation |
switch | String | Switch |
linkSwitch | String | Interconnection switch |
feederCondoct | String | Wire |
feederCable | String | Cable |
According to line chart CIM file acquisition Device methods
GEdge services are obtained according to Device
Gnode services are obtained according to Device
Gnet services are obtained according to Gedge, Gnode
Obtain Switch line segment
Obtain leads line segment
Obtain cable class line segment
3rd, the reliability estimation method based on line segment model
The line segment that the present invention is designed mainly is made up of grid equipment parameter and the topological computation model of power network line, is combining fortune
Row dependability parameter model.Analyzed by big data, realize and extract breaker, blow-out device, wire, cable, transformer producer
The basic model of model, obtains operation of power networks record information, extracts fault restoration duration, the duration that restores electricity, equipment fault time
The information such as number, number of units, set up dependability parameter model.
Reliability assessment is carried out present invention employs fault mode consequences analysis method, fault mode consequences analysis method is middle pressure
The basic skills of evaluating reliability of distribution network, it is adaptable to the power distribution network of open loop operation and operation with closed ring.Fault mode consequences analysis
Method is set up fault mode consequences analysis table, passed through by the consequence analyzed all possible event of failure and its caused to system
The meter calculates load point and Reliability Index.It is comprised the following steps that:
A) individual facilities failure is enumerated, circuit breaker trip after facility failure, Fault Isolation is included in, restore electricity process, really
Determining power failure of the failure on each load point influences, and further determines that fault outage rate and the fault outage time of each load point;
B) by the fault outage rate and fault outage time list of each load point after all facility independent failures, failure is formed
Pattern consequences analysis table.The facility that after note failure load point LP can be caused to have a power failure integrates as N, and facility concentrates the failure of i-th of facility
Outage rate and fault correction time are respectively λi、ri.The fault outage rate and fault outage time desired value of the load point be respectively
λLP-F、uLP-F.Then have:
C) calculating other of the load point according to load point fault outage rate desired value and fault outage time desired value can
By property index;
D) reliability index of each load point, and computing system reliability index on this basis are calculated successively.
Note 1:When load point can be restored electricity by switching switching, load point power off time is by facility failure repair time
Fault outage is reduced to turn to restore electricity the time for time or trouble point upstream.
Note 2:When calculating the influence that pre-arranged has a power failure, Computing Principle and process are similar with fault outage.
Fail-safe analysis is assessed
With reference to the line segment computation module designed in the present invention, the service provided by component is calculated can be by matching somebody with somebody in Fig. 1
Net grid structure resolves into a grid structure being made up of multigroup line segment (such as Fig. 5), according to line segment model structure, and by big
Each device type operation information that data analysis is obtained can provide the basic example of Gong's Distribution Network Reliability assessment.
Realize that electric network composition is split automatically based on analytic unit:
Big data analyzes the reliability index for obtaining distinct device type:
Each distribution line is all a complicated network topology model, and the power network topology information architecture based on GIS is complete
Whole single line topology network, the segmental structure of load dependability parameter model is automatically analyzed using topological component, so as to substitute into root
Obtained basic example parameter is calculated according to line segment model and assessment algorithm realizes that load point and whole network topology are calculated.
System index | Desired value |
System System average interruption frequency desired value SAIFI (secondary/family year) | 0.795 |
The average power off time desired value SAIDI of system (h/ families year) | 1.88382 |
Average power supply reliability desired value ASAI | 99.978% |
System lacks delivery desired value ENS (kWh) | 1765.81 |
System averagely lacks delivery desired value AENS (kWh/ families year) | 353.162 |
In summary, the traditional topological structure of electric of present invention in-depth analysis and the characteristic of operation of power networks, carry out power distribution network
The research work of reliability assessment line segment model automatic segmentation research, devises a set of analytic unit based on line segment model, carries
For the automation services of reliability assessment computation model, design generates reliability assessment parameter model, with reference to big data analysis
Reliability index provide basic example, fusion line segment model theory realizes automation, the analysis of evaluating reliability of distribution network
It is scientific.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention.All essences in the present invention
Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.
Claims (4)
1. based on the distribution network reliability evaluation method of line segment model, comprise the following steps:
Step 1:Based on State Grid Corporation of China's spatial Information Service platform, the power network single line for meeting IEC-CIM standards is extracted
Topological file;
Step 2:Device model that binding analysis Net Frame of Electric Network model is obtained, connecting node model, boundary model, network model,
Design lines segment model, and line segment model is classified;
Step 3:Design line segment calculates analytic unit there is provided obtaining the models such as node, border by the deviceelement in CIM files,
Network model is obtained by node, border, is finally calculated again by these basic model data and obtains the one of different type line segment model
The whole series calculate service, are supported to data are provided based on line segment model evaluating reliability of distribution network;
Step 4:The analysis result of fusion line segment model analytic unit, basic calculation is provided with reference to the reliability index that big data is analyzed
Example, recycles fault mode consequences analysis method to carry out evaluating reliability of distribution network.
2. the distribution network reliability evaluation method according to claim 1 based on line segment model, it is characterised in that:The step
Rapid 1, analysis classification is carried out to existing Net Frame of Electric Network model, device model, connecting node model, boundary model, network mould is formed
Type, to support the calculating of line segment model to analyze.
3. the distribution network reliability evaluation method according to claim 1 based on line segment model, it is characterised in that:The step
Rapid 2, the classification includes cut-offfing line segment, contact segmentation, cable segmentation, built on stilts segmentation.
4. the distribution network reliability evaluation method according to claim 1 based on line segment model, it is characterised in that:The step
Rapid 4, by the consequence analyzed all possible event of failure and its caused to system, fault mode consequences analysis table is set up, is led to
Cross the meter and calculate load point and Reliability Index;Comprise the following steps that:
Step 4-1:Individual facilities failure is enumerated, circuit breaker trip after facility failure, Fault Isolation is included in, restore electricity process,
Determine that power failure of the failure on each load point influences, further determine that fault outage rate and the fault outage time of each load point;
Step 4-2:By the fault outage rate and fault outage time list of each load point after all facility independent failures, event is formed
Barrier pattern consequences analysis table;
The facility that after note failure load point LP can be caused to have a power failure integrates as N, the emergency shut-down coefficient and failure of facility i-th of facility of concentration
Repair time is respectively λi、ri;The fault outage rate and fault outage time desired value of the load point are respectively λLP-F、uLP-F;Then
Have:
Step 4-3:Other of the load point are calculated according to load point fault outage rate desired value and fault outage time desired value
Reliability index;
Step 4-4:The reliability index of each load point, and computing system reliability index on this basis are calculated successively.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108875136A (en) * | 2018-05-11 | 2018-11-23 | 沈阳云奕科技有限公司 | The data processing method and device of conducting wire |
CN108875078A (en) * | 2018-07-11 | 2018-11-23 | 广东电网有限责任公司 | It is a kind of based on connection relationship to the analysis method of distribution scope of power outage |
CN113469838A (en) * | 2021-07-01 | 2021-10-01 | 国网上海市电力公司 | Power supply reliability evaluation system |
CN114844017A (en) * | 2021-05-12 | 2022-08-02 | 国网江苏省电力有限公司南通供电分公司 | Method for shortening average emergency response time of distribution network line tripping accident |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103633739A (en) * | 2013-11-28 | 2014-03-12 | 中国科学院广州能源研究所 | Microgrid energy management system and method |
CN103839189A (en) * | 2013-12-16 | 2014-06-04 | 广东电网公司中山供电局 | Distribution automation scheme optimization method and system based on reliability benefit evaluation |
CN104242448A (en) * | 2014-08-20 | 2014-12-24 | 国家电网公司 | Feeder automation and differentiation optimal configuration method for 10-kV power distribution network |
CN104318374A (en) * | 2014-10-21 | 2015-01-28 | 国网重庆市电力公司电力科学研究院 | Method for assessing reliability of medium voltage distribution network for calculating upstream power restoration operation time |
CN104392083A (en) * | 2014-07-18 | 2015-03-04 | 国家电网公司 | Analysis method for power outage risk and reliability based on full-web topology |
-
2017
- 2017-05-17 CN CN201710350898.9A patent/CN106981876A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103633739A (en) * | 2013-11-28 | 2014-03-12 | 中国科学院广州能源研究所 | Microgrid energy management system and method |
CN103839189A (en) * | 2013-12-16 | 2014-06-04 | 广东电网公司中山供电局 | Distribution automation scheme optimization method and system based on reliability benefit evaluation |
CN104392083A (en) * | 2014-07-18 | 2015-03-04 | 国家电网公司 | Analysis method for power outage risk and reliability based on full-web topology |
CN104242448A (en) * | 2014-08-20 | 2014-12-24 | 国家电网公司 | Feeder automation and differentiation optimal configuration method for 10-kV power distribution network |
CN104318374A (en) * | 2014-10-21 | 2015-01-28 | 国网重庆市电力公司电力科学研究院 | Method for assessing reliability of medium voltage distribution network for calculating upstream power restoration operation time |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108875136A (en) * | 2018-05-11 | 2018-11-23 | 沈阳云奕科技有限公司 | The data processing method and device of conducting wire |
CN108875136B (en) * | 2018-05-11 | 2022-04-12 | 江苏卓月云智能科技有限公司 | Data processing method and device for wire |
CN108875078A (en) * | 2018-07-11 | 2018-11-23 | 广东电网有限责任公司 | It is a kind of based on connection relationship to the analysis method of distribution scope of power outage |
CN114844017A (en) * | 2021-05-12 | 2022-08-02 | 国网江苏省电力有限公司南通供电分公司 | Method for shortening average emergency response time of distribution network line tripping accident |
CN114844017B (en) * | 2021-05-12 | 2023-06-20 | 国网江苏省电力有限公司南通供电分公司 | Method for shortening average emergency response time of tripping accident of distribution network line |
CN113469838A (en) * | 2021-07-01 | 2021-10-01 | 国网上海市电力公司 | Power supply reliability evaluation system |
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Application publication date: 20170725 |