CN108988333A - Electric network fault statistical method - Google Patents
Electric network fault statistical method Download PDFInfo
- Publication number
- CN108988333A CN108988333A CN201810879052.9A CN201810879052A CN108988333A CN 108988333 A CN108988333 A CN 108988333A CN 201810879052 A CN201810879052 A CN 201810879052A CN 108988333 A CN108988333 A CN 108988333A
- Authority
- CN
- China
- Prior art keywords
- electric network
- network fault
- electricity consumption
- fault
- statistical method
- 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
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a kind of electric network fault statistical methods, are applied to electricity consumption and dispatch system, this method comprises: obtaining the fault message of the electricity consumption scheduling system；The data information of electric network fault is calculated according to the fault message；The data information is inserted into the related statements that preset report template generates the electric network fault；The related statements are reported into scheduling and emergency center.Automatic, accurate, statistics electric network fault in time the related data of the present invention, and the related statements for generating predetermined format and quantity are reported into scheduling and emergency center, convenient for upper management, department in time grasps electric network fault, provides technical support for the quick response of electric network fault.
Description
Technical field
The present invention relates to grid automation technical fields, in particular to a kind of electric network fault statistical method.
Background technique
The laws and regulations such as new safe production act propose the accident (event) for influencing reception object normal power supply higher
Management requirement.When power grid is abnormal, dispatcher will screen mass alarm information, analyze, judge, carry out again
Corresponding troubleshooting and operation.At the same time, the collection and statistics for also needing development anomalous effects information, it is enough due to lacking
Management and technical support, statistics often results in data inaccuracy, the case where reporting not in time by hand, both affected accident treatment into
Degree, also affects upper management department to the grasp situation of accident treatment progress.
Summary of the invention
In view of the above problems, the embodiment of the present invention has been designed to provide a kind of electric network fault statistical method, to solve
The deficiencies in the prior art.
According to embodiment of the present invention, a kind of electric network fault statistical method is provided, is applied to electricity consumption and dispatches system,
This method comprises:
Obtain the fault message of the electricity consumption scheduling system；
The data information of electric network fault is calculated according to the fault message；
The data information is inserted into the related statements that preset report template generates the electric network fault；
The related statements are reported into scheduling and emergency center.
In above-mentioned electric network fault statistical method, the fault message for obtaining the electricity consumption scheduling system includes:
The major network and Distribution Network Failure of electricity consumption scheduling system are monitored；
Monitored results are identified by dispatch automated system fault identification technology, obtain the fault message.
In above-mentioned electric network fault statistical method, the data information of the electric network fault includes loss load and impacted
Receive object information.
In above-mentioned electric network fault statistical method, by electricity consumption scheduling system described in Energy Management System real-time statistics
The load variations situation of each feeder line and bus before and after electric network fault generation；
All feeder lines are added according to the load variations situation to obtain the loss load with the loss load of bus.
In above-mentioned electric network fault statistical method, by Energy Management System and GIS-Geographic Information System, to the electricity consumption
The fault message of scheduling system carries out power network topology analysis；
It is obtained according to power network topology analysis result and from user's account information that information interactive bus system obtains impacted
Receive object information.
In above-mentioned electric network fault statistical method, according to the electricity consumption dispatch system to report standard to preset described
The format and quantity of report template.
In above-mentioned electric network fault statistical method, before the related statements are reported to scheduling and emergency center,
The related statements are also used to be sent to corresponding technical staff and confirm.
In above-mentioned electric network fault statistical method, also the related statements are issued in the electricity consumption scheduling system；
Relevant department is by the related statements issued by electricity consumption scheduling system and stores.
In above-mentioned electric network fault statistical method, the related statements are also sent to relevant department；
The relevant department stores the related statements received.
In above-mentioned electric network fault statistical method, before the fault message for obtaining the electricity consumption scheduling system, monitoring
Whether the major network of electricity consumption scheduling system and distribution splice success, if the major network and distribution splicing failure, send splicing and lose
The warning message lost is to corresponding reception object.
In above-mentioned electric network fault statistical method, if the major network and distribution are spliced successfully, obtains electricity consumption and dispatch system
Fault message.
In above-mentioned electric network fault statistical method, before the fault message for obtaining the electricity consumption scheduling system, monitoring
Whether critical processes needed for the electricity consumption scheduling system are in the progress information table of current system, if the critical processes do not exist
In the progress information table, the warning message of critical processes missing is sent to corresponding reception object.
In above-mentioned electric network fault statistical method, if the critical processes, in the progress information table, electricity consumption is dispatched
The fault message of system.
In above-mentioned electric network fault statistical method, whether the critical processes are monitored by timed task shell script
In the progress information table of current system.
Another embodiment of the present invention provides a kind of electric network fault grade delivery system, comprising:
Module is obtained, for obtaining the fault message of the electricity consumption scheduling system；
Computing module, for calculating the data information of electric network fault according to the fault message；
Generation module, for the data information to be inserted the phase that preset report template generates the electric network fault
Close report；
Reporting module, for the related statements to be reported to scheduling and emergency center.
A further embodiment of the invention provides a kind of terminal, which includes memory and place
Device is managed, the memory runs the computer program so that the computer for storing computer program, the processor
Terminal executes above-mentioned electric network fault statistical method.
A further embodiment of the invention provides a kind of computer readable storage medium, the computer readable storage medium
In be stored with above-mentioned electric network fault statistical method.
The electric network fault statistical method that embodiment disclosed by the invention provides at least provides following technical effect: automatic, quasi-
Really, the related data of electric network fault is counted in time and generates the related statements of predetermined format and quantity, is avoided manually counting and be filled in
Caused by error, reduce maintenance work, improve working efficiency；The related statements for generating predetermined format and quantity are reported in time
Scheduling and emergency center, convenient for upper management, department in time grasps electric network fault, mentions for the quick response of electric network fault
For technical support, the automation of electric power network technique is realized.
Detailed description of the invention
In order to illustrate more clearly of technical solution of the present invention, letter will be made to attached drawing needed in the embodiment below
It singly introduces, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as to the present invention
The restriction of protection scope.
Fig. 1 shows a kind of flow diagram of electric network fault statistical method of first embodiment of the invention offer.
Fig. 2 shows a kind of flow diagrams for electric network fault statistical method that second embodiment of the invention provides.
Fig. 3 shows a kind of structural schematic diagram of electric network fault statistical system provided in an embodiment of the present invention.
Main element symbol description:
300- electric network fault statistical system；310- obtains module；320- computing module；330- generation module；340- is reported
Module.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include one or more of the features.In the description of the present invention, the meaning of " plurality " is two or more,
Unless otherwise specifically defined.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.It is intended merely to herein in the term used in the description of multiple dimensioned scaling board
The purpose of specific embodiment is described, it is not intended that the limitation present invention.Term " and or " used herein includes one or more
Any and all combinations of a relevant listed item.
With reference to the accompanying drawing, it elaborates to a specific embodiment of the invention.
Embodiment 1
Fig. 1 shows a kind of flow diagram of electric network fault statistical method of first embodiment of the invention offer.
This method, which is applied to electricity consumption, dispatches system, and the method flow which exemplifies includes the following steps:
Step S110 obtains the fault message of electricity consumption scheduling system.
The major network and Distribution Network Failure of electricity consumption scheduling system are monitored.In the present embodiment, pass through data fusion and model
Splicing is dispatched electricity consumption scheduling system and EMS system, DMS system connectivity to electricity consumption by EMS (Energy Management System)
The major network failure of system is monitored, and carries out failure monitoring by the distribution that DMS (Distribution Management System) dispatches system to electricity consumption.
It in some other embodiments, can also be by other systems or mode to major network in the electricity consumption scheduling system and distribution
Failure is monitored.
Monitored results are identified, the fault message is obtained.
In the present embodiment, the monitored results are identified by dispatch automated system fault identification technology.One
In a little others embodiments, the monitored results can also be identified by other technologies means.
For example, by EMS system, the failures such as feeder line and bus loss of pressure, line tripping to the major network of electricity consumption scheduling system
The complex electric network failure for expanding to large-area power-cuts is monitored, and different faults type feature is integrated, by scheduling automated
System fault identification technology, the result monitored and all different faults type features are compared, known according to characteristic similarity
The electric network fault information of the major network of the not described electricity consumption scheduling system.
By DMS system, distribution circuit breaker trip, the branch line tripping etc. for dispatching system to electricity consumption are carried out with net side failure
Monitoring, integrates different faults type feature, by dispatch automated system fault identification technology, by the result monitored and owns
Different faults type feature compares, and identifies that the electric network fault of the distribution of the electricity consumption scheduling system is believed according to characteristic similarity
Breath.
Step S120 calculates the data information of electric network fault according to the fault message.
The data information of the electric network fault includes loss load and impacted reception object information etc..
Wherein, the impacted reception object information includes impacted reception object sum, impacted important reception object
Amount adds up when ratio, electric network fault influence important reception object, electric network fault influences to protect power supply reception object scale and by shadow
Ring sensitive reception object scale etc..
In the present embodiment, the loss load is calculated using summation.In some other embodiments, can also pass through
Other methods calculate the loss load.
By each feeder line in electricity consumption scheduling system described in Energy Management System real-time statistics and bus in electric network fault
The load variations situation of front and back occurs；All feeder lines are added to obtain with the loss load of bus according to the load variations situation
The loss load.
For example, electric network fault on 800kV/500kV/220kV/110kV/35kV/10kV kilovolts of buses of each occurs
The load variations of front and back are summarized, and breakdown loss total load, failure removal load and low pressure trip loss load are obtained, will
To breakdown loss total load, failure removal load and low pressure trip loss load is added to obtain loss load.It can be by once
Mode calculates the loss load:
It loses load=breakdown loss load+reception object self reason and reduces load+prepared auto restart recovery load
In the present embodiment, the impacted reception object data information is calculated by power network topology analysis technology.Some
In other embodiments, the impacted reception object data information can also be calculated by other means.
By data fusion and model splicing technology, electricity consumption scheduling system and EMS system, generalized information system (geography information system
System), information interactive bus system be connected to, to the electricity consumption scheduling system fault message carry out power network topology analysis；Root
Impacted reception object letter is obtained according to power network topology analysis result and from user's account information that information interactive bus system obtains
Breath.
By the artwork data of electric network fault monitoring technology and generalized information system in EMS system, electricity is carried out to the fault message
Net topology analysis statistics power failure equipments, obtain power failure equipments list according to power network topology analysis result, in conjunction with total from information exchange
User's account information that line obtains obtains impacted reception object information.
For example, impacted reception object information can be calculated by a under type:
The impacted impacted important impacted reception object sum of reception number of objects/∑ of important reception object scale=∑
Amount is cumulative when electric network fault influence important reception object=and (impacted important reception number of objects * receives object to ∑
Have a power failure hour)
Electric network fault influence protects power supply reception object scale=∑ electric network fault influence guarantor's power supply and receives number of objects/∑ by shadow
It rings and receives object sum
It is total that failure influences sensitive reception object scale=∑ failure influence impacted reception object of sensitive reception number of objects/∑
Number
Wherein, important object, guarantor's power supply reception object and the sensitive reception object of receiving is the spy that relevant departments are assert
Fixed reception object.
The data information is inserted the related report that preset report template generates the electric network fault by step S130
Table.
In the present embodiment, system is dispatched according to the emergency information of " power supply bureau's large-area power-cuts emergency preplan " and the electricity consumption
Report standard, preset report template quantity be 6, the format of preset report template is as follows:
In the case where the electric network fault caused by power grid trips, following table is route forced outage detail:
Following table is plant stand decompression detail:
Following table is accumulating losses load and receives object situation:
Additionally include transmission line of electricity forced outage summary sheet (500kV, 220kV), transmission line of electricity forced outage summary sheet
(110kV, 35kV, 10kV) and loss of supply information table, is not described one by one herein.
In some other embodiments, the quantity of the preset report template can also be other values, lattice
Formula may be other types format, can be according to other emergency informations and depending on reporting report standard.
After presetting format and the quantity of the report template, by the data information of the step S120 electric network fault obtained
It inserts in the report template, generates the electric network fault related statements of predetermined format and quantity.
The related statements are reported to scheduling and emergency center by step S140.
The step S130 report generated is reported into scheduling and emergency center, grasps institute in time convenient for scheduling and emergency center
State the relevant information of electric network fault.
Embodiment 2
Fig. 2 shows a kind of flow diagrams for electric network fault statistical method that second embodiment of the invention provides.
This method, which is applied to electricity consumption, dispatches system, and the method flow which exemplifies includes the following steps:
Step S210, the failure for dispatching system major network and distribution to electricity consumption are monitored.
Step S220, judges whether major network and distribution splice success.
Since the topology of the major network of electricity consumption scheduling system is not associated with directly with the topology of distribution, major network topology is resulted in
Mutually there is the state occluded with the topology of distribution, so first splicing the major network of electricity consumption scheduling system and distribution, obtains
It is rounded a fault message for the major network of electricity consumption scheduling system and distribution, improves the comprehensive and accuracy of fault message statistics.
Judge whether major network and distribution each interface splice success, as long as when there is an interface splicing in major network and distribution
When unsuccessful, step S230 is advanced to；When major network and distribution total interface splice successfully, step S240 is advanced to.
Step S230, the warning message for sending splicing failure receive object to corresponding.
Whether step S240 judges critical processes in progress information table.
Judge critical processes needed for obtaining the data information of the electric network fault whether current system progress information
In table, as long as advancing to step S250 when there is a process not in the progress information table in all critical processes；Work as institute
When there are critical processes in the progress information table, step S260 is advanced to.
Preferably, critical processes needed for obtaining the data information can be monitored by timed task shell script whether
In the progress information table of current system.
The progress information table is pulled by the timed task timing of shell script, the progress information table judgement is searched and closes
Whether key process is in progress information table.What whether critical processes needed for discovery obtains the data information in time lacked asks
Topic, opens the critical processes of missing according to progress information table convenient for user in time, reduces the time needed for obtaining data information,
Improve algorithm execution speed.
The critical processes include the process that obtains the data information of the electric network fault and must use, as electricity consumption is dispatched
System, EMS system, DMS system, generalized information system (GIS-Geographic Information System) etc..
Step S250, the warning message for sending critical processes missing receive object to corresponding.
Step S260, identifies monitored results, obtains the fault message.
Step S270 calculates the data information of electric network fault according to the fault message.
Step S280 presets the format and quantity of the report template.
The data information is inserted the related report that preset report template generates the electric network fault by step S290
Table.
Related statements are sent to corresponding technical staff and confirmed by step S300.
Before the related statements report to scheduling and emergency center, the related statements are also used to be sent to corresponding skill
Art personnel confirm whether data information is correct in the related statements, to improve the accuracy rate and qualification of the related statements
Rate.
Step S310 judges whether related statements are correct.
Whether just related technical personnel judge the data information that electric network fault is inserted in the related statements and filling format
Really, if the related statements are correct, step S320 is advanced to；If the related statements are incorrect, step S260 is advanced to.
The related statements are reported to scheduling and emergency center by step S320.
It, can be automatically by the related statements after corresponding technical staff confirms that the related statements are correct in the present embodiment
It is sent to scheduling and emergency center, so that scheduling and emergency center grasp the fault data in time.In some other implementation
In example, the related statements can be reported to scheduling and emergency center in the scheduled time, so that scheduling and emergency center timing
It collects fault data to be stored, improves the processing speed of electricity consumption scheduling system.
Step S330 also issues the related statements in electricity consumption scheduling system.
While related statements report to scheduling and emergency center, the related statements are also used to send out in current system
Cloth, so that all departments can view the related statements in the system.
For example, after electricity consumption scheduling system issues the related statements, all departments such as defect elimination in the electricity consumption scheduling system
Department, market department, purchasing department, logistics department etc. can view the related statements of the publication.
Step S340, relevant department will be stored by the related statements of electricity consumption scheduling system publication.
Department relevant to the electric network fault by the related statements that current system is issued and deposits the related statements
Storage is in memory.
For example, current system is sent out by defect elimination relevant to electric network fault department, purchasing department etc. in electricity consumption scheduling system
The related statements of cloth are downloaded and stored in memory.
The related statements are also sent to relevant department by step S350.
While related statements report to scheduling and emergency center, the related statements are also used to be sent directly to and be somebody's turn to do
The relevant department of electric network fault, such as defect elimination department, purchasing department, Xun Wei department.
Step S360, department store the related statements received.
Relevant department receives the related statements sent by electricity consumption scheduling system and is stored in the related statements
In memory.
It is worth noting that, can between the combination of step S300 and step S340, step S350 and the combination of step S360
It, can also be with individualism to exist parallel.
Preferably, the reason of electric network fault, is tracked, according to tracking result every preset time obtain described in
The data information of electric network fault, and the related statements are updated according to the data information.
For example, 25 dividing at 12 days 14 March in 2018, the major network of system and the failure of distribution are dispatched according to the electricity consumption of acquisition
The data information for the electric network fault that information obtains is data acquisition system A, and the information in data acquisition system A is inserted preset report
Template generation related statements A, and related statements A is stored 25 divided, weight after 1h at 12 days 15 March in 2018
The major network of the electricity scheduling system and the fault message of distribution are newly obtained, and according to the fault message of the major network of reacquisition and distribution
The data information of electric network fault is calculated, which is denoted as data acquisition system B, by the information in data acquisition system B
It inserts preset report template and generates related statements B, stored related statements A is updated to related statements B, convenient for adjusting
It is corresponding in order to arrange in time that degree and emergency center and related work department etc. grasp the data information of the electric network fault in time
The defect elimination of degree works.
Embodiment 3
Fig. 3 shows a kind of structural schematic diagram of electric network fault statistical system provided in an embodiment of the present invention.Power grid event
Hinder statistical system 300 and corresponds to electric network fault statistical method in embodiment 1.
The electric network fault statistical system 300 includes: to obtain module 310, computing module 320, generation module 330 and report mould
Block 330.
Module 310 is obtained, for obtaining the fault message of the electricity consumption scheduling system.
Computing module 320, for calculating the data information of electric network fault according to the fault message.
Generation module 330 generates the electric network fault for the data information to be inserted preset report template
Related statements.
Reporting module 340, for the related statements to be reported to scheduling and emergency center.
Another embodiment of the present invention also proposed a kind of terminal, which includes memory and place
Device is managed, the memory runs the computer program so that the computer for storing computer program, the processor
Terminal executes above-mentioned electric network fault statistical method.
The terminal includes PC, server etc..
A kind of computer program product of electric network fault statistical method provided by another embodiment of the present invention, including storage
The computer readable storage medium of program code, the instruction that said program code includes can be used for executing previous methods embodiment
Described in method, specific implementation can be found in embodiment of the method, details are not described herein.
With this, a kind of electric network fault statistical method in the present invention, automatic, accurate, statistics electric network fault in time dependency number
According to and generate the related statements of predetermined format and quantity, avoid manually counting fill in caused by error, reduce maintenance work, improve
Working efficiency；The related statements for generating predetermined format and quantity are reported into scheduling and emergency center in time, are convenient for upper management
Department in time grasps electric network fault, provides technical support for the quick response of electric network fault, realizes electric power network technique oneself
Dynamicization；The related statements for generating predetermined format and quantity are sent to regulatory authorities simultaneously, for leaders, production of intelligent
More personnel such as department, traffic department, supervision department, power transformation department, distribution department, sales department use, and have wide range of applications, society
Meeting economic benefit is obvious.
In several embodiments provided herein, it should be understood that disclosed system and method can also pass through
Other modes are realized.System embodiment described above is only schematical, for example, flow chart and structure in attached drawing
Figure shows the system frame in the cards of the system of multiple embodiments according to the present invention, method and computer program product
Structure, function and operation.In this regard, each box in flowchart or block diagram can represent a module, section or code
A part, a part of the module, section or code includes one or more for implementing the specified logical function
Executable instruction.It should also be noted that function marked in the box can also be to be different from the implementation as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that in structure chart and/or flow chart
The combination of each box and the box in structure chart and/or flow chart, can function or movement as defined in executing it is dedicated
Hardware based system realize, or can realize using a combination of dedicated hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention can integrate one independence of formation together
Part, be also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be intelligence
Can mobile phone, personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), magnetic or disk etc. be various to can store program code
Medium.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.
Claims (10)
1. a kind of electric network fault statistical method, which is characterized in that it is applied to electricity consumption and dispatches system, this method comprises:
Obtain the fault message of the electricity consumption scheduling system；
The data information of electric network fault is calculated according to the fault message；
The data information is inserted into the related statements that preset report template generates the electric network fault；
The related statements are reported into scheduling and emergency center.
2. electric network fault statistical method according to claim 1, which is characterized in that described to obtain the electricity consumption scheduling system
Fault message include:
The major network and Distribution Network Failure of electricity consumption scheduling system are monitored；
Monitored results are identified by dispatch automated system fault identification technology, obtain the fault message.
3. electric network fault statistical method according to claim 1, which is characterized in that the data packets of the electric network fault
Include loss load and impacted reception object information.
4. electric network fault statistical method according to claim 3, which is characterized in that pass through Energy Management System real-time statistics
The load variations situation of each feeder line and bus before and after electric network fault generation in the electricity consumption scheduling system；
All feeder lines are added according to the load variations situation to obtain the loss load with the loss load of bus.
5. electric network fault statistical method according to claim 3, which is characterized in that pass through Energy Management System and geographical letter
Breath system carries out power network topology analysis to the fault message of electricity consumption scheduling system；
Impacted reception is obtained according to power network topology analysis result and from user's account information that information interactive bus system obtains
Object information.
6. electric network fault statistical method according to claim 1, which is characterized in that also by the related statements in the use
Publication in electric scheduling system；
Relevant department is by the related statements issued by electricity consumption scheduling system and stores.
7. electric network fault statistical method according to claim 1, which is characterized in that the related statements are also sent to phase
The department of pass；
The relevant department stores the related statements received.
8. electric network fault statistical method as described in claim 1, which is characterized in that in the event for obtaining the electricity consumption scheduling system
Before hindering information, whether the major network of monitoring electricity consumption scheduling system and distribution splice success, if the major network and distribution splicing
Failure, the warning message that transmission splicing fails to corresponding reception object.
9. electric network fault statistical method as described in claim 1, which is characterized in that in the event for obtaining the electricity consumption scheduling system
Hinder information before, critical processes needed for monitoring the electricity consumption scheduling system whether in the progress information table of current system, if
The critical processes send the warning message of critical processes missing to corresponding reception object not in the progress information table.
10. electric network fault statistical method according to claim 9, which is characterized in that supervised by timed task shell script
The critical processes are controlled whether in the progress information table of current system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810879052.9A CN108988333A (en) | 2018-08-03 | 2018-08-03 | Electric network fault statistical method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810879052.9A CN108988333A (en) | 2018-08-03 | 2018-08-03 | Electric network fault statistical method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108988333A true CN108988333A (en) | 2018-12-11 |
Family
ID=64554942
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810879052.9A Pending CN108988333A (en) | 2018-08-03 | 2018-08-03 | Electric network fault statistical method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108988333A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111222226A (en) * | 2019-12-25 | 2020-06-02 | 中国南方电网有限责任公司 | EMS (energy management system) to GIS (geographic information System) model conversion and access system and method based on scheduling application visual angle |
| CN111769640A (en) * | 2020-06-23 | 2020-10-13 | 河南工业职业技术学院 | Power information assembling system and method based on smart power grid |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202167018U (en) * | 2011-06-08 | 2012-03-14 | 上海市电力公司 | Power supply reliability data statistical treatment device suitable for power system |
| CN105574652A (en) * | 2015-12-10 | 2016-05-11 | 国网山东省电力公司经济技术研究院 | Planning big data management and control system of smart power distribution network and method |
| CN107844880A (en) * | 2017-07-17 | 2018-03-27 | 中国南方电网有限责任公司 | A kind of electric network fault grade automatic identifying method based on multisource data fusion |
| CN108110893A (en) * | 2017-11-22 | 2018-06-01 | 国电南瑞科技股份有限公司 | A kind of electric network fault grade automatic identifying method of transmission ＆ distribution collaboration |
-
2018
- 2018-08-03 CN CN201810879052.9A patent/CN108988333A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202167018U (en) * | 2011-06-08 | 2012-03-14 | 上海市电力公司 | Power supply reliability data statistical treatment device suitable for power system |
| CN105574652A (en) * | 2015-12-10 | 2016-05-11 | 国网山东省电力公司经济技术研究院 | Planning big data management and control system of smart power distribution network and method |
| CN107844880A (en) * | 2017-07-17 | 2018-03-27 | 中国南方电网有限责任公司 | A kind of electric network fault grade automatic identifying method based on multisource data fusion |
| CN108110893A (en) * | 2017-11-22 | 2018-06-01 | 国电南瑞科技股份有限公司 | A kind of electric network fault grade automatic identifying method of transmission ＆ distribution collaboration |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111222226A (en) * | 2019-12-25 | 2020-06-02 | 中国南方电网有限责任公司 | EMS (energy management system) to GIS (geographic information System) model conversion and access system and method based on scheduling application visual angle |
| CN111222226B (en) * | 2019-12-25 | 2023-06-23 | 中国南方电网有限责任公司 | Conversion and access system and method from EMS (energy management system) to GIS (geographic information system) model based on scheduling application view angle |
| CN111769640A (en) * | 2020-06-23 | 2020-10-13 | 河南工业职业技术学院 | Power information assembling system and method based on smart power grid |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Huang et al. | Data quality issues for synchrophasor applications Part I: a review | |
| CN110138625A (en) | A kind of distribution main website self-healing method based on electric topology connection relationship | |
| CN106600114A (en) | Multi-dimensional quality evaluation method of collection operation and maintenance system | |
| CN106385034A (en) | Power grid dynamic partition calculating method based on N-1 security checking | |
| CN107092222A (en) | Power grid regulation operational administrative system based on the integration of anti-error check analysis | |
| CN105184490B (en) | Forming Electrical Dispatching Command Tickets process risk assists Pre-control System | |
| CN104463696A (en) | Power grid operating risk recognition and prevention method and system | |
| Guo et al. | An analytic model-based approach for power system alarm processing employing temporal constraint network | |
| CN110879543B (en) | Real-time hybrid simulation platform of electric power system | |
| CN103227450A (en) | On-line failure recovery method and system | |
| CN108988333A (en) | Electric network fault statistical method | |
| CN110569997A (en) | charging station operation maintenance method based on multi-dimensional data system | |
| CN106451384B (en) | Power grid self-healing DSS based on scheduling emergency preplan | |
| CN111882395A (en) | Monitoring method and system for rental equipment, computer equipment and storage medium | |
| CN107844891A (en) | A kind of method for judging Power grid structure and changing and calculating schedule risk value | |
| CN107171438A (en) | A kind of net level matches somebody with somebody electricity consumption monitoring and management system | |
| CN108732444A (en) | Intelligent substation protects equipment running status apparatus for evaluating and maintenance decision method | |
| CN105067904B (en) | A kind of Lightning Warning data assessment method based on history lighting location data and power network Tripping data | |
| Madani et al. | Challenging changing landscapes: Implementing synchrophasor technology in grid operations in the wecc region | |
| CN109389524B (en) | Integrated operation and maintenance cooperative management method based on power grid data, storage device and terminal | |
| CN102184203B (en) | Method for constructing network reconfiguration database | |
| CN108988334A (en) | Electric network fault grade dissemination method | |
| CN103576014A (en) | Clock monitoring device and monitoring method of transformer substation | |
| CN111585350A (en) | Power control station communication and analysis system | |
| CN115940409A (en) | Full-period fault diagnosis method and device for safety control system function test command |
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: 20181211 |