CN108845226A - A kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm - Google Patents
A kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm Download PDFInfo
- Publication number
- CN108845226A CN108845226A CN201810380283.5A CN201810380283A CN108845226A CN 108845226 A CN108845226 A CN 108845226A CN 201810380283 A CN201810380283 A CN 201810380283A CN 108845226 A CN108845226 A CN 108845226A
- Authority
- CN
- China
- Prior art keywords
- distribution network
- failure
- network failure
- area
- distribution
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of Distribution Network Failure intelligent locating methods based on angle analysis weighting algorithm, are related to intelligent locating method technical field.Include the following steps:Step 1:Maintenance duration required for all kinds of Distribution Network Failures is analyzed and classified according to historical data, and assigns all kinds of failures with weight;Step 2:Pass through the outer boundary range in platform area where Distribution Network Failure in the legal position step 2 of angle analysis;Step 3:Real-time monitoring is carried out to Distribution Network Failure using monitoring device;Step 4:The fault data analyzed is weighted processing according to the weight distributed in step 1 by monitor console;Step 5:Task allocation is carried out to Distribution itineration check personnel according to the failure total value in the area step 4 Zhong Tai.The present invention by platform area the faulty failure total value for being weighted statistics and generating this area, in order to obtain the maintenance duration total value of consumption required for the failure in each area, task distribution is carried out to patrol officer convenient for the weight according to shared by each Distribution Network Failure.
Description
Technical field
The invention belongs to intelligent locating method technical fields, more particularly to a kind of matching based on angle analysis weighting algorithm
Net intelligent fault localization method.
Background technique
In the power system, platform area refers to supply district or the region of transformer.It is the name of power economy operational management
Word.Distribution, which refers to from power transmission network or regional power plant, receives electric energy, is distributed by distribution facility or is distributed step by step on the spot by voltage
To the power network of all types of user.It is by overhead transmission line, cable, shaft tower, distribution transformer, disconnecting switch, reactive-load compensator and one
The compositions such as a little affiliated facilities, the network of important distribution electric energy effect is played in power network.
Currently, existing distribution after breaking down, needs to send signal to patrol officer, patrol officer is allowed to go to overhaul,
In maintenance task assignment procedure, often because that time-consuming is different for all kinds of maintenance tasks institute, lead to that the distribution of maintenance task is uneven, patrols
There is the problems such as inefficient in maintenance in inspection personnel, influence user's use.
Summary of the invention
The purpose of the present invention is to provide a kind of Distribution Network Failure intelligent locating methods based on angle analysis weighting algorithm, lead to
The area Guo Duitai the faulty failure total value for being weighted statistics and generating this area, in order to obtain in each area therefore
The maintenance duration total value consumed required for barrier carries out task distribution to patrol officer convenient for the weight according to shared by each Distribution Network Failure,
Solve the problems, such as that existing Distribution Network Failure maintenance task distribution is uneven.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions:
The present invention is a kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm, is included the following steps:
Step 1:Maintenance duration required for all kinds of Distribution Network Failures is analyzed and classified according to historical data, and is assigned
All kinds of failures are given with weight, in order to count the maintenance duration of consumption required for all kinds of Distribution Network Failures;
Step 2:Pass through the outer boundary range in platform area where Distribution Network Failure in the legal position step 2 of angle analysis;
Step 3:Real-time monitoring is carried out to Distribution Network Failure using monitoring device, when monitoring device monitors that event occurs for distribution
Fault data, which is sent, to monitor console when barrier improves processing Distribution Network Failure convenient for being detected automatically to Distribution Network Failure
Efficiency;
Step 4:The fault data analyzed is weighted place according to the weight distributed in step 1 by monitor console
Reason, and to platform area where the Distribution Network Failure that is positioned in step 2 faulty be weighted statistics and generate this area
Failure total value, in order to obtain the maintenance duration total value of consumption required for the failure in each area;
Step 5:The position of Distribution itineration check personnel is obtained, and according to the failure total value in the area step 4 Zhong Tai, to Distribution itineration check
Personnel carry out task allocation.
Further, in the step 1 historical data by the Distribution Network Failure repair history data that are stored in database;
The historical data includes fault type information, fault location information, service personnel's information and overhauls time-consuming information.
Further, the weighted statistical in the step 4 includes the following steps:
SS01:Pass through monitoring device determining table troubles inside the sample space quantity and type;
SS02:Each failure in platform area is weighted processing according to the weight assigned in step 1;
SS03:By treated failure numerical value carries out accumulative summation weighted in platform area, gained and be this area event
Hinder total value.
Further, the task allocation in the step 5 includes the following steps:
SS01:The failure total value in each area is obtained by step 4, and generates platform area failure distribution electronic map;
SS02:Patrol officer, which is generated, by acquired patrol officer's location information is distributed electronic map;
SS03:According to SS01 and SS02 electronic map generated, task allocation is carried out to patrol officer.
The invention has the advantages that:
1, the present invention by platform area the faulty failure total value for being weighted statistics and generating this area, so as to
In the maintenance duration total value for obtaining consumption required for the failure in each area, convenient for the weight according to shared by each Distribution Network Failure to inspection
Personnel carry out task distribution.
2, the present invention is by assigning all kinds of failures with weight, in order to count the maintenance of consumption required for all kinds of Distribution Network Failures
Duration.
3, the present invention is automatic convenient for carrying out to Distribution Network Failure by carrying out real-time monitoring to Distribution Network Failure using monitoring device
Detection improves the efficiency of processing Distribution Network Failure.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
The present invention is a kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm, is included the following steps:
Step 1:Maintenance duration required for all kinds of Distribution Network Failures is analyzed and classified according to historical data, and is assigned
All kinds of failures are given with weight, in order to count the maintenance duration of consumption required for all kinds of Distribution Network Failures;
Step 2:Pass through the outer boundary range in platform area where Distribution Network Failure in the legal position step 2 of angle analysis;
Step 3:Real-time monitoring is carried out to Distribution Network Failure using monitoring device, when monitoring device monitors that event occurs for distribution
Fault data, which is sent, to monitor console when barrier improves processing Distribution Network Failure convenient for being detected automatically to Distribution Network Failure
Efficiency;
Step 4:The fault data analyzed is weighted place according to the weight distributed in step 1 by monitor console
Reason, and to platform area where the Distribution Network Failure that is positioned in step 2 faulty be weighted statistics and generate this area
Failure total value, in order to obtain the maintenance duration total value of consumption required for the failure in each area;
Step 5:The position of Distribution itineration check personnel is obtained, and according to the failure total value in the area step 4 Zhong Tai, to Distribution itineration check
Personnel carry out task allocation.
Wherein, in step 1 historical data by the Distribution Network Failure repair history data that are stored in database;Historical data
Including fault type information, fault location information, service personnel's information and overhaul time-consuming information.
Wherein, the weighted statistical in step 4 includes the following steps:
SS01:Pass through monitoring device determining table troubles inside the sample space quantity and type;
SS02:Each failure in platform area is weighted processing according to the weight assigned in step 1;
SS03:By treated failure numerical value carries out accumulative summation weighted in platform area, gained and be this area event
Hinder total value.
Wherein, the task allocation in step 5 includes the following steps:
SS01:The failure total value in each area is obtained by step 4, and generates platform area failure distribution electronic map;
SS02:Patrol officer, which is generated, by acquired patrol officer's location information is distributed electronic map;
SS03:According to SS01 and SS02 electronic map generated, task allocation is carried out to patrol officer.
In the description of this specification, the description of reference term " one embodiment ", " example ", " specific example " etc. means
Particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one implementation of the invention
In example or example.In the present specification, schematic expression of the above terms may not refer to the same embodiment or example.
Moreover, particular features, structures, materials, or characteristics described can be in any one or more of the embodiments or examples to close
Suitable mode combines.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (4)
1. a kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm, which is characterized in that include the following steps:
Step 1:Maintenance duration required for all kinds of Distribution Network Failures is analyzed and classified according to historical data, and is assigned each
Class failure is with weight;
Step 2:Pass through the outer boundary range in platform area where Distribution Network Failure in the legal position step 2 of angle analysis;
Step 3:Real-time monitoring is carried out to Distribution Network Failure using monitoring device, when monitoring device monitors that distribution is broken down
Fault data is sent to monitor console;
Step 4:The fault data analyzed is weighted processing according to the weight distributed in step 1 by monitor console,
And it is weighted statistics to the institute in platform area where the Distribution Network Failure that is positioned in step 2 is faulty and generates the former of this area
Hinder total value;
Step 5:The position of Distribution itineration check personnel is obtained, and according to the failure total value in the area step 4 Zhong Tai, to Distribution itineration check personnel
Carry out task allocation.
2. a kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm according to claim 1, special
Sign is, historical data is by the Distribution Network Failure repair history data that store in database in the step 1;The history number
According to including fault type information, fault location information, service personnel's information and the time-consuming information of maintenance.
3. a kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm according to claim 1, special
Sign is that the weighted statistical in the step 4 includes the following steps:
SS01:Pass through monitoring device determining table troubles inside the sample space quantity and type;
SS02:Each failure in platform area is weighted processing according to the weight assigned in step 1;
SS03:By treated failure numerical value carries out accumulative summation weighted in platform area, gained and be this area failure it is total
Value.
4. a kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm according to claim 1, special
Sign is that the task allocation in the step 5 includes the following steps:
SS01:The failure total value in each area is obtained by step 4, and generates platform area failure distribution electronic map;
SS02:Patrol officer, which is generated, by acquired patrol officer's location information is distributed electronic map;
SS03:According to SS01 and SS02 electronic map generated, task allocation is carried out to patrol officer.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810380283.5A CN108845226A (en) | 2018-04-25 | 2018-04-25 | A kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810380283.5A CN108845226A (en) | 2018-04-25 | 2018-04-25 | A kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108845226A true CN108845226A (en) | 2018-11-20 |
Family
ID=64212265
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810380283.5A Pending CN108845226A (en) | 2018-04-25 | 2018-04-25 | A kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108845226A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110880709A (en) * | 2019-10-23 | 2020-03-13 | 贵州电网有限责任公司 | Method for determining ice-watching dispatching time of power transmission line |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103312030A (en) * | 2012-03-08 | 2013-09-18 | 国家电网公司 | Electrical device monitoring system and method |
CN103679547A (en) * | 2013-11-29 | 2014-03-26 | 国家电网公司 | Optimization method for missed steps of relay protection |
CN106940411A (en) * | 2017-04-21 | 2017-07-11 | 国网江苏省电力公司宿迁供电公司 | A kind of single-phase ground fault line selecting method of small-electric current grounding system |
-
2018
- 2018-04-25 CN CN201810380283.5A patent/CN108845226A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103312030A (en) * | 2012-03-08 | 2013-09-18 | 国家电网公司 | Electrical device monitoring system and method |
CN103679547A (en) * | 2013-11-29 | 2014-03-26 | 国家电网公司 | Optimization method for missed steps of relay protection |
CN106940411A (en) * | 2017-04-21 | 2017-07-11 | 国网江苏省电力公司宿迁供电公司 | A kind of single-phase ground fault line selecting method of small-electric current grounding system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110880709A (en) * | 2019-10-23 | 2020-03-13 | 贵州电网有限责任公司 | Method for determining ice-watching dispatching time of power transmission line |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104931851B (en) | A kind of transmission line lightning stroke intelligent fault analysis platform and analysis method | |
US8589198B2 (en) | Methods and systems involving power system grid management | |
CN107832354B (en) | Distribution network intelligence operation and maintenance management and control system of distributing type buffer memory | |
CN106251420A (en) | Electric power equipment inspection system | |
CN109784508A (en) | A kind of power grid panorama monitoring operation management method and system based on cloud platform | |
CN105353702A (en) | High voltage equipment intelligent monitoring system | |
CN105991771B (en) | Internet of Things fire-fighting system | |
CN103312030A (en) | Electrical device monitoring system and method | |
CN105656210A (en) | Intelligent monitoring operation and maintenance system for switch cabinets | |
KR101040735B1 (en) | Diesel generator and the velocity of the wind generator real time checking system for an islands area | |
CN108983043A (en) | Power distribution network mesolow side operational monitoring main website management system | |
CN104730458A (en) | Method for monitoring state of generator excitation system | |
CN201852893U (en) | Power transformer state evaluation device | |
CN110531656A (en) | A kind of monitoring system and method for Hydropower Unit performance | |
CN103325019A (en) | Event-driven power grid fault information judgment method | |
CN105356680A (en) | Intelligent operation and maintenance system of power generator | |
CN109767063A (en) | Stability control device operation information system and online power grid risk assessment method thereof | |
CN108389008A (en) | Power distribution network resource management system | |
CN205862379U (en) | Electric power equipment inspection system | |
CN107424237A (en) | A kind of new equipment method for inspecting | |
CN104794771B (en) | One kind patrols inspection automatic planning and a device | |
CN108845226A (en) | A kind of Distribution Network Failure intelligent locating method based on angle analysis weighting algorithm | |
CN104834305A (en) | Distribution network automated terminal telemetering abnormity analyzing system and method based on DMS system | |
CN102339425A (en) | Service supporting system applied to distribution network and application method thereof | |
CN110018378B (en) | Fault studying and judging method for distributing different transformers of same overhead line by multiple repair work orders |
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: 20181120 |