CN110263078A - A kind of distribution line heavy-overload Intelligent statistical system and statistical method - Google Patents
A kind of distribution line heavy-overload Intelligent statistical system and statistical method Download PDFInfo
- Publication number
- CN110263078A CN110263078A CN201910748811.2A CN201910748811A CN110263078A CN 110263078 A CN110263078 A CN 110263078A CN 201910748811 A CN201910748811 A CN 201910748811A CN 110263078 A CN110263078 A CN 110263078A
- Authority
- CN
- China
- Prior art keywords
- overload
- heavy
- distribution line
- power supply
- work order
- 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.)
- Granted
Links
- 238000009826 distribution Methods 0.000 title claims abstract description 138
- 238000007619 statistical method Methods 0.000 title claims abstract description 25
- 238000004458 analytical method Methods 0.000 claims abstract description 36
- 238000011156 evaluation Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 15
- 238000013075 data extraction Methods 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims description 13
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 9
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 238000007726 management method Methods 0.000 description 6
- 230000005611 electricity Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Probability & Statistics with Applications (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Computational Linguistics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of distribution line heavy-overload Intelligent statistical system and statistical method, the statistical system includes: data acquisition module, data analysis module, mode work order data extraction module, efficiency evaluation module, intelligent analysis module, result output module；The statistical method includes: S1: being sampled to distribution line current value；S2: distribution line heavy-overload route inventory database is generated to intelligent network distribution route heavy-overload event statistics according to S1 sampled current value；S3: turning power supply mode work order information to distribution and obtained and judged, distribution is turned power supply mode work order key message and forms database；S4: analysis distribution line heavy-overload and a turn power supply work order information；S5: according to S4 intellectual analysis as a result, generating the distribution line heavy-overload statistical report for considering to turn power supply factor.Distribution line heavy-overload statistical accuracy, specific aim and the efficiency for improving distribution line heavy-overload statistics can be improved in the present invention.
Description
Technical field
The present invention relates to power domains, more particularly, to a kind of distribution line heavy-overload Intelligent statistical system and statistics
Method.
Background technique
During being continued to develop with network architecture, in large scale since distribution rack is multi-point and wide-ranging, the area Er Yinge
Domain management level and plan dynamics of investment difference and develop faster or slower, distribution line heavy-overload situation through distribution electricity
The different times of power development.Meanwhile the severity of distribution line heavy-overload is related to a regional management level, production fortune
Row is horizontal, Electric Power Network Planning is horizontal or even the power supply reliability in region.Therefore, reducing distribution line heavy-overload is continuous promotion power grid
The key of management level and technical level is also the key that distribution investment orientation.
Distribution line heavy-overload reason is broadly divided into that the natural increase of load, grid structure are unreasonable and the method for operation becomes
It is other to change three categories.For current technology and management level, distribution line heavy-overload route statistical analysis technique is stopped mostly
It is manually counting, only fraction region can be realized programming count；And it can not be for its heavy mistake for distribution line heavy-overload
Reason is carried to be automatically analyzed.Currently, the analysis of the reason of for distribution line heavy-overload remains in and expends a large amount of manpower object
The protrusions such as power is thumbed operation order, production system and phone and solved, and low, low efficiency that there is accuracys and specific aim are weak are asked
Topic.
Summary of the invention
The present invention is to overcome low distribution line heavy-overload statistical accuracy described in the above-mentioned prior art, low efficiency and needle
The defect weak to property provides a kind of distribution line heavy-overload Intelligent statistical system and statistical method.
The system comprises: data acquisition module, data analysis module, mode work order data extraction module, validity are commented
Valence module, intelligent analysis module, result output module；
The connection of the input terminal of data acquisition module and data analysis module, the output end and intelligent analysis module of data analysis module
Input terminal connection, the output end of intelligent analysis module connect with result output module；
The production system of the input terminal of mode work order data extraction module and power grid connects, mode work order data extraction module it is defeated
Outlet is connect with the input terminal of efficiency evaluation module, the output end of efficiency evaluation module and the input terminal of intelligent analysis module
Connection；
Data acquisition module: spot sampling mainly is carried out to distribution line electric current, using substation's outlet switch meter to scene
Current value carries out real-time sampling analysis, chooses effective current point；
Data analysis module is responsible in real time being analyzed the data value that data acquisition module transmission comes, and forms each line current
Value and current curve generate distribution line heavy-overload route inventory database according to logic rules；
Mode work order data extraction module: major function is that have in the daily production system for turning power supply mode work order to mention from loading
It takes and turns power supply mode work order key message, field includes " operation task ", " execute and turn the power supply end time ", " executes and turn power supply
Time started ", " execution turns the service restoration time started " and " execution turns the service restoration end time ", formation turn power supply mode work
Single database；
Efficiency evaluation module: major function is to analyze existing to the progress all clear list evaluation of power supply mode work order database is turned
Imitate the distribution line mode work order executed.
Intelligent analysis module: major function is to automatically analyze distribution line heavy-overload route inventory database to comment with validity
The distribution line mode work order performed effectively that valence module analysis goes out, from the distribution line heavy-overload route listings data of magnanimity
Distribution line in library analyzes the list because of distribution line heavy-overload caused by turning power supply reason；
As a result output module: being mainly responsible for the output of analysis result, generates the distribution line heavy-overload system for considering to turn power supply factor
Meter report.
The method is applied to the distribution line heavy-overload statistical system, the described method comprises the following steps:
S1: distribution line current value is sampled；
S2: it is clear that distribution line heavy-overload route is generated to intelligent network distribution route heavy-overload event statistics according to S1 sampled current value
Single database；
S3: power supply mode work order information is turned to distribution and is obtained and is judged, distribution is turned into power supply mode work order key message shape
At database；
S4: the database formed according to S2 and S3, analysis distribution line heavy-overload and a turn power supply work order information；
S5: according to S4 intellectual analysis as a result, generating the distribution line heavy-overload statistical report for considering to turn power supply factor.
Preferably, S1 specifically: 1 acquisition was carried out every 15 minutes to distribution line electric current, and forms each distribution line
Current curve and each route sampled current value inventory.
Preferably, S2 includes:
S2.1: it according to each route sampled current value inventory, sets heavy-overload rule: it is negative to continue to exceed 4 sampled points (1 hour)
Load rate is then recorded as a heavy-overload event more than 80%, if multiple heavy-overload event occurs, is added up；Generate distribution
Route heavy-overload event；
According to each route sampled current value inventory, current-carrying capacity is allowed according to distribution line, calculates each route Rate of average load, most
High load rate, highest load factor time of origin, heavy-overload time, last heavy-overload time, the accumulative of heavy-overload event are held for the first time
The continuous time, the single maximum length in time of heavy-overload event, heavy-overload event number；
S2.2: with each line current sampled value and the heavy-overload of setting rule, it is specifically clear to analyze distribution line heavy-overload
Single, inventory forms row data with distribution line ID, and includes following field: the affiliated line name of route, route allow current-carrying capacity,
Rate of average load, highest load factor, highest load factor time of origin, for the first time heavy-overload time, last heavy-overload time, heavy-overload
The aggregated duration of event, the single maximum length in time of heavy-overload event, heavy-overload event number.
S2.3: distribution line heavy-overload route inventory database is generated according to S2.1 and S2.2.
Preferably, S3 includes:
S3.1: extracting from production system and turn power supply mode work order key message, and field includes " operation task ", " executes and turn to supply
Electric end time ", " execute turn power supply a time started ", " execution turns the service restoration time started " and " execution turns service restoration knot
The beam time "；
S3.2: turn power supply line's information from the extraction of key message " operation task " field, such as: by 110kV " A substation " 10kV
" 709 " B route turns to extract field information by 110kV " C substation " 10kV " 725 " D line powering are as follows: the station C 725.
S3.3: it forms database: according to power supply line's information matches line account is turned, matched line such as being gone according to " station C 725 "
The ID on road forms line account information, such as affiliated office, area, power supply station, substation, line name further according to the ID of route.Retain
Turn mode work order number in power supply work order and turn powered operation task field, forms database.
Turn in power supply mode work order, " execute and turn the power supply end time ", " execute and turn the power supply time started " " execute and turn to supply
Electricity restores the time started " and " execution turns the service restoration end time " any one value be it is empty, i.e., in aforementioned four field times
Field of anticipating be it is empty, then indicate that this work order is not carried out for empty field and finish, state may for also executing or
It is not carried out, therefore is not included in database.
Preferably, S4 includes:
S4.1: effectively turning power supply mode work order according to S3 output, turn power supply line's InfoLine account, and such as affiliated office, area supplies
Electric institute, substation, line name.Retain and turn mode work order number in power supply work order and turn powered operation task field, is formed and turned
Power supply mode work order database；
S4.2: the data value exported according to S4.1 and S2.3, matching distribution line heavy-overload route inventory database and a turn confession
The database of electric mode work order analyzes the distribution line in all distribution line heavy-overload route inventory databases；Judge whether
Cause route heavy-overload due to turning power supply, if it is not, then working out the data value of output for non-turn of caused heavy-overload route of powering
Database；If so, being the caused heavy-overload track data library that turns to power by the data value establishment of output.
Preferably, S5 specifically:
The analysis result of S4 is exported, the distribution line heavy-overload statistical report for considering to turn power supply factor, report content packet are generated
Include: Quan Weidu distribution line heavy-overload Statistical Analysis Report, distribution line heavy-overload statistically analyze specific inventory, reject a turn power supply
Factor distribution line heavy-overload Statistical Analysis Report, turning to power causes heavy-overload distribution line detailed bill and turns to power to cause
Heavy-overload route accounting situation statistics.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
Overall process of the present invention is analyzed by system logic and machine intelligence, without manually participating in any process, is saved a large amount of
Manpower and material resources, while having the characteristics that actual effect is strong, accuracy is high and with strong points；Not especially for distribution line rack
Whether perfect area can screen when distribution line heavy-overload occurs because of distribution line heavy-overload caused by turning power supply factor,
Be conducive to the promotion that distribution rack improves, invests impetus and normal operation level.
The present invention can help producers, planning personnel and base related service personnel in the monthly distribution of Intelligent statistical
It analyzes and whether is caused due to turning power supply factor when route heavy-overload, avoid turning to carry out one by one in power supply mode work order from magnanimity
It searches, and distribution caused by the distribution line heavy-overload as caused by natural load growth and changes of operating modes can be distinguished
Route heavy-overload formulates different technology and management method respectively, is conducive to accomplish fine-grained management.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of distribution line heavy-overload Intelligent statistical system.
Fig. 2 is a kind of flow chart of distribution line heavy-overload Intelligent statistical method.
Fig. 3 is the flow chart of distribution line heavy-overload Intelligent statistical method specific implementation process described in embodiment 2.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent the ruler of actual product
It is very little；
To those skilled in the art, the omitting of some known structures and their instructions in the attached drawings are understandable.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1:
The present embodiment provides a kind of distribution line heavy-overload Intelligent statistical systems, as shown in Figure 1, the system comprises: data are adopted
Collect module, data analysis module, mode work order data extraction module, efficiency evaluation module, intelligent analysis module, result output
Module；
The connection of the input terminal of data acquisition module and data analysis module, the output end and intelligent analysis module of data analysis module
Input terminal connection, the output end of intelligent analysis module connect with result output module；
The production system of the input terminal of mode work order data extraction module and power grid connects, mode work order data extraction module it is defeated
Outlet is connect with the input terminal of efficiency evaluation module, the output end of efficiency evaluation module and the input terminal of intelligent analysis module
Connection；
Data acquisition module: spot sampling mainly is carried out to distribution line electric current, using substation's outlet switch meter to scene
Current value carries out real-time sampling analysis, chooses effective current point；
Data analysis module: the data value of transmission is analyzed in real time, forms each line electricity flow valuve and current curve, from
It is dynamic to generate distribution line heavy-overload route inventory database according to logic rules；
Mode work order data extraction module: major function is that have in the daily production system for turning power supply mode work order to mention from loading
It takes and turns power supply mode work order key message, field includes " operation task ", " execute and turn the power supply end time ", " executes and turn power supply
Time started ", " execution turns the service restoration time started " and " execution turns the service restoration end time ", formation turn power supply mode work
Single database；
Efficiency evaluation module: major function is to analyze existing to the progress all clear list evaluation of power supply mode work order database is turned
Imitate the distribution line mode work order executed.
Intelligent analysis module: major function is to automatically analyze distribution line heavy-overload route inventory database to comment with validity
The distribution line mode work order performed effectively that valence module analysis goes out, from the distribution line heavy-overload route listings data of magnanimity
Distribution line in library analyzes the list because of distribution line heavy-overload caused by turning power supply reason；
As a result output module: being mainly responsible for the output of analysis result, generates the distribution line heavy-overload system for considering to turn power supply factor
Meter report.
Embodiment 2:
The present embodiment provides a kind of statistical method applied to distribution line heavy-overload Intelligent statistical system described in embodiment 1,
As shown in Fig. 2, its working method Principle of Process is as follows:
By distribution line station end meter, to distribution line current sample, sampled current value is constructed into each item according to sampling rule
The current value curve and inventory value of distribution line carry out distribution line heavy-overload event Intelligent statistical, to distribution line electric current
Curve continues to exceed 4 sampled points (1 hour) load factor more than 80%, then is recorded as a heavy-overload event, and formed and matched
Cable road heavy-overload route inventory database；Meanwhile to the acquisition of power supply mode work order information is turned from system, extraction turns supplier of electricity
The key message of formula work order will turn power supply mode work order key message storage as unit of field, and formation turns power supply mode work order
Database；By distribution line heavy-overload and a turn power supply work order information intellectual analysis, intelligent Matching distribution line heavy-overload route
Inventory database and the database for turning power supply mode work order, analyze matching in all distribution line heavy-overload route inventory databases
Cable road, output generate the distribution line heavy-overload statistical report for considering to turn power supply factor, and report content includes full dimension distribution
Route heavy-overload Statistical Analysis Report, distribution line heavy-overload statistically analyze specific inventory, rejecting turns power supply factor distribution line
Heavy-overload Statistical Analysis Report, turning to power causes heavy-overload distribution line detailed bill and turns to power heavy-overload route is caused to account for
Than situation statistics etc..
As shown in figure 3, the statistical method specific implementation process is as follows:
S1: distribution line heavy-overload Intelligent statistical method starts, while entering S2 and S5.
S2: the station end intelligence meter installed using transformer station 10 kV outgoing line interval samples distribution line current value, electric current
Sampling is set as sampling 1 time for 15 minutes, forms each distribution line current value curve and each route sampled current value inventory, into
Enter S3.
S3: according to each route sampled current value inventory of S2, it is negative that setting rule continues to exceed 4 sampled points (1 hour)
Load rate is then recorded as a heavy-overload event more than 80%, is repeatedly recorded if multiple heavy-overload event occurs, and generates
Distribution line heavy-overload event, into S4；
S4: according to each route sampled current value inventory, current-carrying capacity is allowed according to distribution line, carries out distribution line heavy-overload event
Intelligent statistical, calculate each route Rate of average load, highest load factor, highest load factor time of origin, for the first time the heavy-overload time,
Last heavy-overload time, the aggregated duration of heavy-overload event, the single maximum length in time of heavy-overload event, heavy-overload thing
The number of part, into S8；
S5: turning the related system that power supply mode work order is made a report on from distribution, take turn power supply mode work order information acquisition, from production
It is extracted in system and turns power supply mode work order key message, field includes " operation task ", " execute and turn the power supply end time ", " holds
Row turn power supply time started ", " execution turns the service restoration time started " and " execution turns the service restoration end time " form and turn to supply
The database of electric mode work order, into S6；
S6: turn power supply mode work order database according to what S5 was formed, judgement turns whether power supply mode work order is finished.If
" execution turn is powered an end time ", " execution turns a time started of powering ", " execution turns the service restoration time started " and " execution turn confession
The electricity recovery end time ", any one value was empty record, indicates that this work order is not carried out and finishes, and state may be also to exist
It executes or is not carried out, be not then included in analysis.If " execute and turn the power supply end time ", " executes and turns " execute and turn the power supply time started "
Service restoration time started " and " execution turns the service restoration end time " data are not sky, indicate that this work order has executed
Finish, then enters S7；
S7: effectively turning power supply mode work order according to S6 output, turn power supply line's InfoLine account, such as affiliated office, area, power supply
Institute, substation, line name.Retain and turn mode work order number in power supply work order and turn powered operation task field, is formed and turn to supply
Electric mode work order database, into S8；
S8: according to the output data value of S7 and S4, intelligent Matching distribution line heavy-overload route inventory database and a turn power supply
The database of mode work order analyzes the distribution line in all distribution line heavy-overload route inventory databases；Judge whether by
Cause route heavy-overload in turning power supply, if it is not, then working out the data value of output for non-turn of caused heavy-overload route number of powering
According to library；If so, being the caused heavy-overload track data library that turns to power by the data value establishment of output；
S9: the output of intellectual analysis result generates the distribution line heavy-overload statistical report for considering to turn power supply factor, report content packet
Include: Quan Weidu distribution line heavy-overload Statistical Analysis Report, distribution line heavy-overload statistically analyze specific inventory, reject a turn power supply
Factor distribution line heavy-overload Statistical Analysis Report, turning to power causes heavy-overload distribution line detailed bill and turns to power to cause
Heavy-overload route accounting situation statistics etc..
The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent；
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be to this hair
The restriction of bright embodiment.For those of ordinary skill in the art, it can also do on the basis of the above description
Other various forms of variations or variation out.There is no necessity and possibility to exhaust all the enbodiments.It is all in the present invention
Spirit and principle within made any modifications, equivalent replacements, and improvements etc., should be included in the guarantor of the claims in the present invention
Within the scope of shield.
Claims (7)
1. a kind of distribution line heavy-overload Intelligent statistical system, the system comprises: data acquisition module, data analysis module,
Mode work order data extraction module, efficiency evaluation module, intelligent analysis module, result output module；
The connection of the input terminal of data acquisition module and data analysis module, the output end and intelligent analysis module of data analysis module
Input terminal connection, the output end of intelligent analysis module connect with result output module；
The production system of the input terminal of mode work order data extraction module and power grid connects, mode work order data extraction module it is defeated
Outlet is connect with the input terminal of efficiency evaluation module, the output end of efficiency evaluation module and the input terminal of intelligent analysis module
Connection；
Data acquisition module is responsible for carrying out spot sampling to distribution line electric current, carries out real-time sampling analysis to live current value,
Choose effective current point；And the data of acquisition are transferred to data analysis module；
Data analysis module is responsible in real time being analyzed the data value that data acquisition module transmission comes, and forms each line current
Value and current curve generate distribution line heavy-overload route inventory database according to logic rules；
Mode work order data extraction module is responsible for having to extract in the daily production system for turning power supply mode work order from loading turning to supply
Electric mode work order key message, field include " operation task ", " execute turn power supply an end time ", " execute when turning power supply and starting
Between ", " execution turns the service restoration time started " and " execution turns the service restoration end time ", formation turn power supply mode work order data
Library；
Efficiency evaluation module is to carry out the evaluation of all clear list to turning power supply mode work order database, analyzes matching of having performed effectively
Net line mode work order；
Intelligent analysis module is responsible for analyzing what distribution line heavy-overload route inventory database went out with efficiency evaluation module analysis
The distribution line mode work order performed effectively, the distribution line from the distribution line heavy-overload route inventory database of magnanimity
Analyze the list because of distribution line heavy-overload caused by turning power supply reason；
As a result output module is responsible for analyzing result output, generates the distribution line heavy-overload statistical report for considering to turn power supply factor.
2. a kind of statistical method applied to distribution line heavy-overload Intelligent statistical system described in claim 1, feature exist
In the described method comprises the following steps:
S1: distribution line current value is sampled using data acquisition module；
S2: distribution is generated to intelligent network distribution route heavy-overload event statistics according to S1 sampled current value using data analysis module
Route heavy-overload route inventory database；
S3: power supply mode work order information is turned to distribution and is obtained and is judged, distribution is turned into power supply mode work order key message shape
At database；
S4: the database formed according to S2 and S3, analysis distribution line heavy-overload and a turn power supply work order information；
S5: according to S4 intellectual analysis as a result, generating the distribution line heavy-overload statistical report for considering to turn power supply factor, and pass through knot
Fruit output module exports statistical result.
3. statistical method according to claim 2, which is characterized in that S1 specifically: to distribution line electric current every 15 minutes
1 acquisition is carried out, and forms each distribution line current curve；And each route sampled current value inventory.
4. statistical method according to claim 3, which is characterized in that S2 includes:
S2.1: it according to each route sampled current value inventory, sets heavy-overload rule: it is super to continue to exceed 4 sampled point load factors
80% is crossed, then is recorded as a heavy-overload event, if multiple heavy-overload event occurs, is added up；Generate distribution line mistake again
Load event；
According to each route sampled current value inventory, current-carrying capacity is allowed according to distribution line, calculates each route Rate of average load, most
High load rate, highest load factor time of origin, heavy-overload time, last heavy-overload time, the accumulative of heavy-overload event are held for the first time
The continuous time, the single maximum length in time of heavy-overload event, heavy-overload event number；
S2.2: with each line current sampled value and the heavy-overload of setting rule, it is specifically clear to analyze distribution line heavy-overload
Single, inventory forms row data with distribution line ID, and includes following field: the affiliated line name of route, route allow current-carrying capacity,
Rate of average load, highest load factor, highest load factor time of origin, for the first time heavy-overload time, last heavy-overload time, heavy-overload
The aggregated duration of event, the single maximum length in time of heavy-overload event, heavy-overload event number；
S2.3: distribution line heavy-overload route inventory database is generated according to S2.1 and S2.2.
5. statistical method according to claim 4, which is characterized in that S3 includes:
S3.1: extracting from production system and turn power supply mode work order key message, and field includes " operation task ", " executes and turn to supply
Electric end time ", " execute turn power supply a time started ", " execution turns the service restoration time started " and " execution turns service restoration knot
The beam time "；
S3.2: turn power supply line's information from the extraction of key message " operation task " field；
S3.3: it forms database: according to power supply line's information matches line account is turned, the ID of terminated line is removed, further according to route
ID form line account information, retain and turn mode work order number and to turn powered operation task field in power supply work order, form number
According to library；
Turn in power supply mode work order, " execute and turn the end time of powering ", " execute and turn a power supply time started " " it is extensive to execute turn power supply
Multiple time started " and " execution turns the service restoration end time " any one value be it is empty, be not included in database.
6. statistical method according to claim 5, which is characterized in that S4 includes:
S4.1: power supply mode work order is effectively turned according to S3 output, turns power supply line's InfoLine account, retains and turn power supply work order
Middle mode work order number and turn powered operation task field, formation turns power supply mode work order database；
S4.2: the data value exported according to S4.1 and S2.3, matching distribution line heavy-overload route inventory database and a turn confession
The database of electric mode work order analyzes the distribution line in all distribution line heavy-overload route inventory databases；Judge whether
Cause route heavy-overload due to turning power supply, if it is not, then working out the data value of output for non-turn of caused heavy-overload route of powering
Database；If so, being the caused heavy-overload track data library that turns to power by the data value establishment of output.
7. statistical method according to claim 6, which is characterized in that S5 specifically:
The analysis result of S4 is exported, the distribution line heavy-overload statistical report for considering to turn power supply factor, report content packet are generated
Include: Quan Weidu distribution line heavy-overload Statistical Analysis Report, distribution line heavy-overload statistically analyze specific inventory, reject a turn power supply
Factor distribution line heavy-overload Statistical Analysis Report, turning to power causes heavy-overload distribution line detailed bill and turns to power to cause
Heavy-overload route accounting situation statistics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910748811.2A CN110263078B (en) | 2019-08-14 | 2019-08-14 | A kind of distribution line heavy-overload Intelligent statistical method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910748811.2A CN110263078B (en) | 2019-08-14 | 2019-08-14 | A kind of distribution line heavy-overload Intelligent statistical method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110263078A true CN110263078A (en) | 2019-09-20 |
| CN110263078B CN110263078B (en) | 2019-11-29 |
Family
ID=67912116
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910748811.2A Active CN110263078B (en) | 2019-08-14 | 2019-08-14 | A kind of distribution line heavy-overload Intelligent statistical method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110263078B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610327A (en) * | 2019-10-09 | 2019-12-24 | 广东电网有限责任公司 | Intelligent analysis method for power supply capacity of distribution network considering temporary load transfer |
| CN110854848A (en) * | 2019-11-20 | 2020-02-28 | 广东电网有限责任公司 | Control aid decision-making method for distribution network scheduling load |
| CN110879335A (en) * | 2019-12-16 | 2020-03-13 | 深圳供电局有限公司 | Method for evaluating heavy overload condition of power distribution network line |
| CN111861186A (en) * | 2020-07-14 | 2020-10-30 | 广东电网有限责任公司 | Method for detecting power grid risk event and acquiring power failure equipment |
| CN112884366A (en) * | 2021-03-23 | 2021-06-01 | 广东电网有限责任公司佛山供电局 | Method and device for counting operation time consumption of dispatching desk |
| CN112883051A (en) * | 2021-04-12 | 2021-06-01 | 广东电网有限责任公司佛山供电局 | Intelligent extraction method and system for field data of distribution network power conversion field |
| CN112994250A (en) * | 2021-04-20 | 2021-06-18 | 广东电网有限责任公司佛山供电局 | Heavy overload event monitoring method and device, electronic equipment and storage medium |
| CN113258683A (en) * | 2021-07-01 | 2021-08-13 | 广东电网有限责任公司佛山供电局 | Distribution network ring network point change analysis method and system |
| WO2022052146A1 (en) * | 2020-09-08 | 2022-03-17 | 广东电网有限责任公司江门供电局 | Heavy overload check method for load transfer decision of open-loop power grid |
| CN114755479A (en) * | 2022-04-06 | 2022-07-15 | 南栖仙策(南京)科技有限公司 | Power grid regulation and control method and device |
| CN115207926A (en) * | 2022-09-15 | 2022-10-18 | 广东电网有限责任公司湛江供电局 | Method and related device for measuring and calculating transferable power supply capacity of medium-voltage line of power distribution network |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102999784A (en) * | 2012-11-20 | 2013-03-27 | 广东电网公司 | Power grid heavy-load analyzing method and system |
| CN106815647A (en) * | 2016-12-28 | 2017-06-09 | 国家电网公司 | A kind of high efficiency distribution network failure repairing system and method based on data analysis |
| CN107093017A (en) * | 2017-04-17 | 2017-08-25 | 中国南方电网有限责任公司 | The business datum acquisition methods and its device and system of power-off event |
| JP2018082569A (en) * | 2016-11-16 | 2018-05-24 | 田淵電機株式会社 | System interconnection power converter and method for controlling output current of the same |
| CN109510205A (en) * | 2019-01-04 | 2019-03-22 | 国网江苏省电力有限公司宿迁供电分公司 | A kind of distribution network load turns for decision Analysis method |
-
2019
- 2019-08-14 CN CN201910748811.2A patent/CN110263078B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102999784A (en) * | 2012-11-20 | 2013-03-27 | 广东电网公司 | Power grid heavy-load analyzing method and system |
| JP2018082569A (en) * | 2016-11-16 | 2018-05-24 | 田淵電機株式会社 | System interconnection power converter and method for controlling output current of the same |
| CN106815647A (en) * | 2016-12-28 | 2017-06-09 | 国家电网公司 | A kind of high efficiency distribution network failure repairing system and method based on data analysis |
| CN107093017A (en) * | 2017-04-17 | 2017-08-25 | 中国南方电网有限责任公司 | The business datum acquisition methods and its device and system of power-off event |
| CN109510205A (en) * | 2019-01-04 | 2019-03-22 | 国网江苏省电力有限公司宿迁供电分公司 | A kind of distribution network load turns for decision Analysis method |
Non-Patent Citations (1)
| Title |
|---|
| 李世辉: "电网线路过载原因分析及控制措施", 《河北电力技术》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610327A (en) * | 2019-10-09 | 2019-12-24 | 广东电网有限责任公司 | Intelligent analysis method for power supply capacity of distribution network considering temporary load transfer |
| CN110854848A (en) * | 2019-11-20 | 2020-02-28 | 广东电网有限责任公司 | Control aid decision-making method for distribution network scheduling load |
| CN110854848B (en) * | 2019-11-20 | 2022-11-18 | 广东电网有限责任公司 | Control aid decision-making method for distribution network scheduling load |
| CN110879335A (en) * | 2019-12-16 | 2020-03-13 | 深圳供电局有限公司 | Method for evaluating heavy overload condition of power distribution network line |
| CN110879335B (en) * | 2019-12-16 | 2022-05-10 | 深圳供电局有限公司 | Method for evaluating heavy overload condition of power distribution network line |
| CN111861186A (en) * | 2020-07-14 | 2020-10-30 | 广东电网有限责任公司 | Method for detecting power grid risk event and acquiring power failure equipment |
| WO2022052146A1 (en) * | 2020-09-08 | 2022-03-17 | 广东电网有限责任公司江门供电局 | Heavy overload check method for load transfer decision of open-loop power grid |
| CN112884366A (en) * | 2021-03-23 | 2021-06-01 | 广东电网有限责任公司佛山供电局 | Method and device for counting operation time consumption of dispatching desk |
| CN112883051A (en) * | 2021-04-12 | 2021-06-01 | 广东电网有限责任公司佛山供电局 | Intelligent extraction method and system for field data of distribution network power conversion field |
| CN112994250B (en) * | 2021-04-20 | 2021-08-13 | 广东电网有限责任公司佛山供电局 | Heavy overload event monitoring method and device, electronic equipment and storage medium |
| CN112994250A (en) * | 2021-04-20 | 2021-06-18 | 广东电网有限责任公司佛山供电局 | Heavy overload event monitoring method and device, electronic equipment and storage medium |
| CN113258683B (en) * | 2021-07-01 | 2021-09-14 | 广东电网有限责任公司佛山供电局 | Distribution network ring network point change analysis method and system |
| CN113258683A (en) * | 2021-07-01 | 2021-08-13 | 广东电网有限责任公司佛山供电局 | Distribution network ring network point change analysis method and system |
| CN114755479A (en) * | 2022-04-06 | 2022-07-15 | 南栖仙策(南京)科技有限公司 | Power grid regulation and control method and device |
| CN115207926A (en) * | 2022-09-15 | 2022-10-18 | 广东电网有限责任公司湛江供电局 | Method and related device for measuring and calculating transferable power supply capacity of medium-voltage line of power distribution network |
| CN115207926B (en) * | 2022-09-15 | 2023-01-24 | 广东电网有限责任公司湛江供电局 | Method and related device for measuring and calculating transferable power supply capacity of medium-voltage line of power distribution network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110263078B (en) | 2019-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110263078B (en) | A kind of distribution line heavy-overload Intelligent statistical method | |
| CN107180314B (en) | Operation and maintenance business model modeling method based on primary and secondary system incidence relation | |
| CN110068746A (en) | Gird fault diagnosis method and system | |
| CN108268706B (en) | Closed loop test system and method for intelligent alarm application of integrated monitoring system | |
| CN113406438B (en) | Intelligent fault diagnosis method suitable for low-voltage transformer area and operation and maintenance system thereof | |
| CN110175167A (en) | A kind of data cleaning method and system suitable for low-voltage platform area electricity consumption data | |
| CN108665186A (en) | Distribution transforming heavy-overload blackouts monitoring method and device based on metering automation system | |
| CN112730938A (en) | Electricity stealing user judgment method based on electricity utilization collection big data | |
| CN110311709A (en) | Power information acquisition system fault distinguishing method | |
| CN109494757B (en) | Voltage reactive power operation early warning method and system | |
| CN110879327A (en) | 10KV line monitoring method by multi-data fusion | |
| CN112950172A (en) | Method for identifying topology of transformer area | |
| CN110320443A (en) | The determination method and system in power failure section in a kind of low-voltage network | |
| CN110968703B (en) | Method and system for constructing abnormal metering point knowledge base based on LSTM end-to-end extraction algorithm | |
| CN115423429A (en) | Multimode integrated distribution network operation system based on image and sound information | |
| CN110635477B (en) | Multi-system fusion-based distribution network fault studying and judging method, device and system | |
| CN113313403B (en) | Power distribution network comprehensive evaluation method, device and system based on large-scale high-power electric vehicle charging and discharging and storage medium | |
| CN115270974A (en) | Intelligent electricity stealing detection system based on big data analysis | |
| CN109934458A (en) | A kind of power failure real-time analysis method based on the minimum common analytical unit that has a power failure | |
| CN113256272A (en) | Fine evaluation system for power equipment | |
| CN109308766A (en) | A kind of remote bill control switching on executes the fault location system and processing method of failure | |
| CN101685479A (en) | Power grid online comprehensive pre-warning method and system based on massively parallel processing | |
| Hu et al. | Research on intelligent inspection technology of distribution network based on RFID | |
| CN109687592A (en) | Substation information display control method, device and electronic equipment | |
| CN113868821B (en) | Distribution network loss reduction method based on marketing and distribution big data fusion and terminal |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |