CN105139265A - Method for evaluating quality of distribution line tripping condition reporting based on artificial intelligence - Google Patents

Method for evaluating quality of distribution line tripping condition reporting based on artificial intelligence Download PDF

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Publication number
CN105139265A
CN105139265A CN201510347962.9A CN201510347962A CN105139265A CN 105139265 A CN105139265 A CN 105139265A CN 201510347962 A CN201510347962 A CN 201510347962A CN 105139265 A CN105139265 A CN 105139265A
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CN
China
Prior art keywords
report
trip condition
distribution line
quality
information
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Pending
Application number
CN201510347962.9A
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Chinese (zh)
Inventor
潘建兵
郑蜀江
王华云
蔡木良
安义
尹桂来
刘蓓
李博江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201510347962.9A priority Critical patent/CN105139265A/en
Publication of CN105139265A publication Critical patent/CN105139265A/en
Pending legal-status Critical Current

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Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

Provided is a method for evaluating the quality of distribution line tripping condition reporting based on artificial intelligence. A 10kV distribution line tripping condition reporting template and evaluation rules are formulated according to the actual distribution line operation and maintenance; resource interaction interfaces between distribution network monitoring systems are established and communicated, and queried data is matched with the information filled out in the tripping condition reporting template; and an embedded artificial intelligence program is made to evaluate and score the content filled out in the tripping condition reporting template, the level of quality of line tripping condition reporting is determined according to the result of calculation and the score distribution of a quality level table, and related alarm information is pushed so that relevant personnel can carry out checking and modification. The method of the invention is suitable for controlling the quality of transmission and distribution line tripping condition reporting.

Description

A kind of method of making a report on quality based on artificial intelligence evaluation distribution line trip condition
Technical field
The present invention relates to a kind of method of making a report on quality based on artificial intelligence evaluation distribution line trip condition, belong to power transmission and distribution operating maintenance technical management field.
Background technology
The important step that 10kV distribution line is directly connected with user as electric system, its power supply reliability will be directly connected to low-voltage customer electrical problem, if 10kV distribution line Frequent trip will largely affect the good service of user power utilization right and electric company, it is the basic work of a distribution O&M that trip reason is made a report on.
As everyone knows, the distribution of 10kV distribution network line is wide, number of devices is large, with a varied topography, climatic environment is changeable, especially territory, county electric company, line corridor is erected at the places such as suburb, mountain forest, river mostly, running environment is comparatively severe, often will face the test of the complicated factors such as thunder and lightning, strong wind, heavy showers, outside destroy, bird pest, this is various with regard to the reason causing 10kV distribution line and trip.
At present, along with informationization technology constantly upgrades, power distribution network monitoring means and systematic comparison many, but due to each system realizing function, data communication protocol, open authority and administrative authority inconsistent, the resource causing each system is relatively independent, mutually coordinate and utilization factor on the low side.Therefore, administrative authority is by the very difficult 10kV distribution line tripping operation real causes passed judgment on out circuit operation maintenance teams and groups exactly and fill in, and the measures to rectify and reform easily causing line drop to trip lack specific aim, are also difficult to reach its Expected Results.
Summary of the invention
The object of this invention is to provide a kind of method of making a report on quality based on artificial intelligence evaluation distribution line trip condition, make a report on accuracy rate to improve 10kV distribution line trip reason, carry out distribution line for power supply department and fall the accurate sticking point that tripping operation provides effective data supporting and transformation funds.
Technical scheme of the present invention is, according to actual distribution line O&M situation, formulates 10kV distribution line trip condition and makes a report on template and evaluate detailed rules and regulations; And set up and get through Monitoring System for Power Distribution Network resource interactive interface each other, utilize the data inquired to mate the trip condition information of filling out in template of making a report on; Work out embedded artificial intelligence program to make a report on template content to filled out trip condition and evaluate and score, according to result of calculation and quality grade table, determine that this line tripping situation makes a report on quality grade, and push relevant warning information, so that related personnel carries out verifying and revising.
Described method comprises the steps:
(1) determine that trip condition is made a report on module and needed fill substance, specify the module writes time limit;
(2) formulate 10kV distribution line trip condition and make a report on quality assessment detailed rules and regulations, specification and grade score value table;
(3) set up and get through the interface of Monitoring System for Power Distribution Network resource sharing each other, extract the relevant information of line tripping, and carry out mating and verifying with filled out information;
(4) adopt dimensional images recognition technology to differentiate the trouble spot picture true and false, determine trouble location picture score, and set up trouble location picture library, remind in time and delete double faults position picture;
(5) according to the evaluation detailed rules and regulations formulated and different system relevant information, establishment relevant evaluation program, evaluates filled out information and scores, calculating final score result, determine that line tripping situation makes a report on quality grade, and push warning information to relevant operation management personnel.
10kV distribution line trip condition makes a report on template, is by trip reason, trouble location, trouble spot distance, 15 subitem compositions such as trip condition explanation, fault handling side, weather condition, reclosing input situation.Trip reason can rough segmentation be 6 large class one-level trip reasons and be subdivided into 42 group secondary trip reasons, and one-level trip reason can be divided into that natural cause, external force factor, user's reason, apparatus body, operation maintenance are improper, the large class of design and installation improper six.Evaluating detailed rules and regulations is make a report on template subitem according to trip condition to determine, require and the feature of each subitem according to operation management, determine the score value of this subitem, code requirement, deduction of points point and priority, and the relevance arranged between each subitem, simultaneously, determine that trip condition makes a report on quality grade score value table, this table comprise, in, defective Three Estate.
Described evaluation detailed rules and regulations make a report on template subitem according to trip condition to determine, require and the feature of each subitem according to operation management, determine the score value of this subitem, code requirement, deduction of points point and priority, and the relevance arranged between each subitem, simultaneously, determine that trip condition makes a report on quality grade score value table, this table comprise, in, defective Three Estate; Manual intelligent program is adopted to carry out the operation such as extraction, checking, accounting of different information, by many-sided verification and scoring program, trip condition can be obtained and make a report on quality grade, also can obtain the multinomial integrated information such as line tripping reason and trouble location comparatively accurately.
Described artificial intelligence assessment process comprises the thunderbolt situation realized in access lightning location system circuit query tripping operation moment circuit path domain, access meteorological department inquiry weather condition on the same day, access OMS check relay protection action message, and whether access SPMIS system works ticket content checks circuit interim repairing task, verify the picture of the trouble location uploaded, simultaneously according to the score value evaluating detailed rules and regulations and calculate each subitem.Make a report on template according to above-mentioned visit information, picture evidence, each subitem specification and relevance to trip condition to calculate, finally determine that this line tripping situation makes a report on quality grade, and push relevant warning information according to result of calculation.
The invention has the beneficial effects as follows, realize making a report on distribution line trip condition carrying out quality management and control by artificial intelligence evaluation method, the real reason of line tripping can not only be reflected in time, and our unit's operation management level can be improved, electric company related personnel is according to history and current trip reason information, that makes circuit falls tripping operation measures to rectify and reform and transformation funds capital project, and specific aim and the efficient use of capital that effectively can improve scheme maximize.
Applicable the making a report on electric line trip condition of the inventive method carries out quality management and control.
Accompanying drawing explanation
Fig. 1 is the particular flow sheet that artificial Intelligent Evaluation distribution line trip condition makes a report on quality;
Fig. 2 is that 10kV distribution line trip condition makes a report on template.
Embodiment
The method concrete steps mode of making a report on quality based on artificial intelligence evaluation distribution line trip condition is as follows:
1, collect and confirm to cause concrete reason and the fault handling mode of line tripping, determine that trip condition is made a report on template and needed fill substance, specify the module writes time limit and (occurred in three days in fault trip event, belonging to company must at system typing trip reason overview), concrete fill substance is shown in Fig. 2.
2, formulate 10kV distribution line trip condition and make a report on quality grade of evaluation detailed rules and regulations (see table 2), mainly comprise each subitem score value, standardization, relevance and quality grade score value table (see table 1).
3, relative program access lightning location system, OMS, SPMIS system, distributing transformer monitoring system, weather bureau's weather forecast query system is worked out, extract the relevant information of line tripping, and fill in the template information of filling out with trip condition and carry out mating and verifying, determine corresponding subitem score value.
4, adopt dimensional images recognition technology to differentiate the trouble spot picture true and false, determine trouble location picture score, and set up trouble location picture library, remind in time and delete double faults position picture.
5, the 10kV distribution line trip condition made is made a report on quality assessment detailed rules and regulations and be embedded into artificial intelligence program, and the template information of filling out is made a report on to line tripping situation check and score, determine template final score.If evaluation result is " defective ", then ejects this circuit and fill in defective alarm list content, and notify operational management personnel time update relevant information.
Quality grade score value table is made a report in table 1 tripping operation
Score value Grade Score value Grade Score value Grade
90~100 Good 70~90 In 0~69 Defective

Claims (3)

1. evaluate based on artificial intelligence the method that distribution line trip condition makes a report on quality, it is characterized in that, described method, according to actual distribution line operating maintenance situation, is formulated 10kV distribution line trip condition and is made a report on template and evaluate detailed rules and regulations; And set up and get through Monitoring System for Power Distribution Network resource interactive interface each other, utilize the data inquired to mate the trip condition information of filling out in template of making a report on; Work out embedded artificial intelligence program to make a report on template content to filled out trip condition and evaluate and score, according to result of calculation and quality grade table score value distribution situation, determine that this line tripping situation makes a report on quality grade, and push relevant warning information, so that related personnel carries out verifying and revising; Described method comprises the steps:
(1) determine that trip condition is made a report on module and needed fill substance, specify the module writes time limit;
(2) formulate 10kV distribution line trip condition and make a report on quality assessment detailed rules and regulations, specification and grade score value table;
(3) set up and get through the interface of Monitoring System for Power Distribution Network resource sharing each other, extract the relevant information of line tripping, and carry out mating and verifying with filled out information;
(4) adopt dimensional images recognition technology to differentiate the trouble spot picture true and false, determine trouble location picture score, and set up trouble location picture library, remind in time and delete double faults position picture;
(5) according to the evaluation detailed rules and regulations formulated and different system relevant information, establishment relevant evaluation program, evaluates filled out information and scores, calculating final score result, determine that line tripping situation makes a report on quality grade, and push warning information to relevant operating maintenance managerial personnel.
2. a kind of method of making a report on quality based on artificial intelligence evaluation distribution line trip condition according to claim 1, it is characterized in that, described evaluation detailed rules and regulations make a report on template subitem according to trip condition to determine, according to the feature of operating maintenance management expectancy and each subitem, determine the score value of this subitem, code requirement, deduction of points point and priority, and the relevance arranged between each subitem, simultaneously, determine that trip condition makes a report on quality grade score value table, this table comprise, in, defective Three Estate; Manual intelligent program is adopted to carry out the extraction of different information, checking, accounting operation, by many-sided verification and scoring program, trip condition can be obtained and make a report on quality grade, also can obtain line tripping reason and the multinomial integrated information of trouble location comparatively accurately.
3. a kind of method of making a report on quality based on artificial intelligence evaluation distribution line trip condition according to claim 2, it is characterized in that, described manual intelligent program comprises the thunderbolt situation realized in access lightning location system circuit query tripping operation moment circuit path domain, access meteorological department inquiry weather condition on the same day, access OMS check relay protection action message, and whether access SPMIS system works ticket content checks circuit interim repairing task, verify the picture of the trouble location uploaded, simultaneously according to the score value evaluating detailed rules and regulations and calculate each subitem; Make a report on template according to above-mentioned visit information, picture evidence, each subitem specification and relevance to trip condition to calculate, finally determine that this line tripping situation makes a report on quality grade, and push relevant warning information according to result of calculation.
CN201510347962.9A 2015-06-23 2015-06-23 Method for evaluating quality of distribution line tripping condition reporting based on artificial intelligence Pending CN105139265A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107230160A (en) * 2017-05-08 2017-10-03 国网江西省电力公司电力科学研究院 A kind of 10kV line trippings wrong report is intelligent to judge implementation method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102110323A (en) * 2011-01-14 2011-06-29 深圳市怡化电脑有限公司 Method and device for examining money
CN102608464A (en) * 2012-03-21 2012-07-25 山东电力集团公司济南供电公司 Modularized automatic test assembly system of rely protection device and test method of modularized automatic test assembly system
CN103107509A (en) * 2013-02-28 2013-05-15 尤田柱 Full automatic relay protection fixed value setting calculation and validation method based on spreadsheet
CN103606048A (en) * 2013-11-22 2014-02-26 国家电网公司 Relay protection on-line rechecking method and system based on OMS
CN103728536A (en) * 2013-12-11 2014-04-16 国家电网公司 Multi-source data grid fault identification method
CN103914791A (en) * 2014-03-17 2014-07-09 中国南方电网有限责任公司超高压输电公司检修试验中心 Electrical equipment state maintenance system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102110323A (en) * 2011-01-14 2011-06-29 深圳市怡化电脑有限公司 Method and device for examining money
CN102608464A (en) * 2012-03-21 2012-07-25 山东电力集团公司济南供电公司 Modularized automatic test assembly system of rely protection device and test method of modularized automatic test assembly system
CN103107509A (en) * 2013-02-28 2013-05-15 尤田柱 Full automatic relay protection fixed value setting calculation and validation method based on spreadsheet
CN103606048A (en) * 2013-11-22 2014-02-26 国家电网公司 Relay protection on-line rechecking method and system based on OMS
CN103728536A (en) * 2013-12-11 2014-04-16 国家电网公司 Multi-source data grid fault identification method
CN103914791A (en) * 2014-03-17 2014-07-09 中国南方电网有限责任公司超高压输电公司检修试验中心 Electrical equipment state maintenance system

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
余军阳 等: "基于业务规则引擎的型式试验报告自动校验应用", 《计算机系统应用》 *
张富洲等: "基于OMS的电力调度生产管理子系统的研究与分析", 《郑州轻工业学院学报(自然科学版)》 *
文勇等: "软件故障定位报告质量评估方法", 《浙江大学学报(工学版)》 *
朱海清 等: "安全阀校验数字化测试技术与管理系统", 《中国特种设备安全》 *
李东: "基于MAXIMO平台的设备故障管理系统设计和实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
鞠宏军等: "基于Asp.net的通用数据填报系统的设计与实现", 《华北科技学院学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107230160A (en) * 2017-05-08 2017-10-03 国网江西省电力公司电力科学研究院 A kind of 10kV line trippings wrong report is intelligent to judge implementation method

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