CN109507541A - A kind of transmission line status determination method based on historical data analysis - Google Patents
A kind of transmission line status determination method based on historical data analysis Download PDFInfo
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- CN109507541A CN109507541A CN201811602167.XA CN201811602167A CN109507541A CN 109507541 A CN109507541 A CN 109507541A CN 201811602167 A CN201811602167 A CN 201811602167A CN 109507541 A CN109507541 A CN 109507541A
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- 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
Abstract
The invention discloses a kind of transmission line status determination method based on historical data analysis, by analysing in depth to the historical data that leakage current monitors, combining environmental information, research differentiates transmission line insulator state, provides support for operations staff's decision；It determines basic time unit, analyzes real-time measurement electric parameter change procedure；The composition form that unit and equal line are identified by analyzing each basic time unit, obtains the electric state changing rule of transmission line of electricity, and analysis obtains the history working condition of route.The method of the invention can be used for power delivery circuit fault distinguishing and early warning.
Description
Technical field
The invention belongs to power domains, are related to a kind of transmission line status determination method based on historical data.
Background technique
In recent years, informatization of power industry has obtained significant progress, and electric power data resource starts sharp increase, how to deposit
These data are stored up and applied, are the problems that Utilities Electric Co. faces；On the other hand, the utility value of these data is huge, not only may be used
The management of power grid itself, operation level are promoted to new height, or even generate the change of essence, and can be portion, government
Door, industry and users provide more preferably services, expand many value-added services for Utilities Electric Co. and provide condition.It is based on
The data mining of historical data is to excavate potential knowledge from data on the basis of simple data query function, mention for decision
For supporting, it is the key step of Knowledge Discovery that main task, which is association analysis, classification, prediction time series pattern and variance analysis etc.,
Suddenly.
By the improvement of many years, the pollution flashover preventing and controlling of China's transmission line of electricity have been achieved for tangible result.But with
The exacerbation of some areas problem of environmental pollution, pollution flashover accident still happen occasionally.Insulator surface leakage current is an energy
The electric characteristic amount of enough comprehensive characterization pollution severity of insulators degree and situation of making moist, and with pollution flashover process close association.With
Leakage current is that research means External Insulation state is assessed, and is had for the insulation state monitoring work of transmission line of electricity important
Meaning.
Summary of the invention
The object of the present invention is to provide a kind of transmission line status determination method based on historical data analysis, by letting out
The historical data of leakage current monitoring is analysed in depth, combining environmental information, can be studied and be differentiated transmission line insulator state, be
Operations staff's decision provides support.
The purpose of the present invention is achieved through the following technical solutions:
A kind of transmission line status determination method based on historical data analysis, it is characterised in that: by leakage current
The historical data of monitoring is analyzed, combining environmental information, and research differentiates transmission line insulator state, is mentioned for operations staff's decision
For supporting；It is specific as follows:
It determines basic time unit, analyzes real-time measurement electric parameter change procedure；It is continuous from each basic time unit
Following data are extracted in the real-time surface conductivity of measurement:
σo: the electric measurement value of first fixed time of each basic time unit；
σc: the electric measurement value of second fixed time of each basic time unit；
σmax: the real-time electric measurement value maximum value of each basic time unit；
σmin: the real-time electric measurement value minimum value of each basic time unit；
σave: the real-time electric measurement value average value of each basic time unit；
By σo, σc, σmax, σminIt is indicated in the same mark unit；σ firstoAnd σc, the part between them is drawn as square
Shape；If σcHigher than σo, then indicated with solid rectangle；It is on the contrary then indicated with hollow rectangle；With thinner line by σmaxAnd σmin
It is connect respectively with entity；
Each basic time unit's mark unit will will appear two kinds of grown forms, i.e. growth form and reduction type；Special feelings
Under condition, it may appear that wireless above rectangle, i.e. σmaxWith σcIt is wireless below equal, rectangle, i.e. σoWith σminEqual, rectangle only remains one
Line segment, i.e. σoWith σoSituations such as phase；
According to the real-time surface conductivity average value σ of each basic time unitave, different equal lines is calculated, draws
The average value of several monitorings before is is averaged by method processed again, and line；
The composition form that unit and equal line are identified by analyzing each basic time unit, obtains the electrical shape of transmission line of electricity
State changing rule, analysis obtain the history working condition of route.
By analysing in depth to the historical data that leakage current monitors, combining environmental information can be studied the present invention
Differentiate transmission line insulator state, provides support for operations staff's decision.The present invention can be used for power delivery circuit fault distinguishing and pre-
It is alert.
Detailed description of the invention
Fig. 1 a is growth form schematic diagram in daily data cell in the present invention.
Fig. 1 b is reduction type schematic diagram in daily data cell in the present invention.
Fig. 2 is cumulative bad schematic diagram in the present invention.
Fig. 3 is loss type schematic diagram in the present invention.
Fig. 4 is stable type schematic diagram in the present invention.
Specific embodiment
In order to illustrate more clearly of technical solution of the present invention, attached drawing needed in embodiment will be made below
Simply introduce, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, general for this field
For logical technical staff, without creative efforts, other cases can also be obtained according to these cases.
With day (24 hours) for basic time unit, real-time measurement electric parameter change procedure is analyzed.From daily continuous survey
Following data are extracted in the real-time surface conductivity of amount:
σo: the electric measurement value of daily first fixed time is set as the electric measurement value of 8 point moments；
σc: the electric measurement value of daily second fixed time is set as the electric measurement value of 18 point moments；
σmax: daily real-time electric measurement value maximum value；
σmin: daily real-time electric measurement value minimum value；
σave: daily real-time electric measurement value average value.
By σo, σc, σmax, σminIt is indicated in the same mark unit.σ firstoAnd σc, the part between them is drawn as square
Shape；If σcHigher than σo, then indicated with solid rectangle；It is on the contrary then indicated with hollow rectangle.With thinner line by σmaxAnd σmin
It is connect respectively with entity.
In general, mark unit will will appear two kinds of grown forms, i.e. growth form and reduction type daily；Special circumstances
Under, it may appear that wireless (σ above rectanglemaxWith σcIt is equal), wireless (σ below rectangleoWith σminIt is equal), rectangle only remain a line segment
(σoWith σoIt is equal) situations such as.
According to daily real-time surface conductivity average value σave, different average daily lines, method for drafting can be calculated
For the average value of several monitoring days before is averaged again, and line.Such as 5 average daily line be before 5 daily means
Described point line.Generally, the described point of the average daily line of N are as follows:
Using in this embodiment is 5 average daily lines.
By analyzing the composition form of daily mark unit and average daily line, the electric state variation of transmission line of electricity can be obtained
Rule, analysis obtain the history working condition of route.
When judging historic state, to judge whether occurring condensation, for identification line according to environment temperature, ambient humidity
Line state.
Under conditions of dew point refers to that moisture content in the environment and air pressure are certain, Water vapor condensation in environment is made to become liquid
The temperature of dewdrop.When envionmental humidity is 100%, dew-point temperature is identical as environment temperature；When envionmental humidity is less than
When 100%, dew point is lower than environment temperature.Dew point and the relational expression of envionmental humidity, environment temperature are as follows:
Wherein, RH is relative humidity, unit %；T is temperature, unit DEG C；DPFor dew point, unit DEG C.
When environment temperature is lower than dew-point temperature formula, the phenomenon that surface just will appear condensation.
Example is as follows:
Operations staff wish be by the most basic information that history Working state analysis obtains current route electrical shape
Condition seriously or is gradually improved in change.Thus, from the point of view of status assessment, history working condition is divided into three types
Type: accumulation type, loss type, stable type.
1. accumulation type
Accumulation type refers to that in the time section analyzed, filth amount incrementally increases.Under normal circumstances, filthy accumulation type tool
There are following features:
(1) daily mark unit based on growth form or all growth forms；
(2) based on being incremented by, primary inverse is positive line substantially；
(3) line passes through odd-numbered day mark unit or is located at below mark unit.
When identifying unit daily above equal line, such as scheme, illustrates the weather conditions for having occurred less favorable, or filth is
Through needing operations staff to pay attention to during Rapid Accumulation.
2. loss type
Loss type refers to that in the time section analyzed, filth amount gradually reduces.Under normal circumstances, filthy loss type tool
There are following features:
(1) daily mark unit based on reduction type or all reduction type；
(2) based on successively decreasing, primary inverse is negative line substantially；
(3) line passes through odd-numbered day mark unit or is located above mark unit.
When daily mark unit is located at below equal line, during illustrating that filth is in rapidly losing, usually in the condition
Under be conducive to line security operation, it is possible to reduce maintenance times.
3. stable type
When pollution severity of insulators does not occur significantly to accumulate or be lost, real-time surface conductivity does not occur significantly to become
Change, show filthy stable feature:
(1) mark unit growth form and reduction type are interted mutually daily；
(2) line is more smooth, and primary inverse has just and has negative, and general absolute value is smaller；
(3) line is essentially across whole odd-numbered day mark units.
When there is the feature of filthy stability, it can be determined that filthy accumulation is suitable with the degree of loss at this time, has been formed
The meteorological condition, the region mulberry to a certain degree dynamic equilibrium.In this case, current line can be continued to use substantially
Road operational mode, until there is filthy accumulation situation to occur.
It is monitored using ambient temperature and humidity, can calculate insulator surface temperature, by compared with ambient dew point, Ke Yishi
The judgement of existing insulator surface condensation state.Condensation equally will cause pollution severity of insulators loss, and it is defeated to can be used for subsidiary discriminant
Electric wire line state.
Claims (3)
1. a kind of transmission line status determination method based on historical data analysis, it is characterised in that: by being supervised to leakage current
The historical data of survey is analyzed, combining environmental information, and research differentiates transmission line insulator state, is provided for operations staff's decision
It supports；It is specific as follows:
It determines basic time unit, analyzes real-time measurement electric parameter change procedure；It is continuously measured from each basic time unit
Real-time surface conductivity in extract following data:
σo: the electric measurement value of first fixed time of each basic time unit；
σc: the electric measurement value of second fixed time of each basic time unit；
σmax: the real-time electric measurement value maximum value of each basic time unit；
σmin: the real-time electric measurement value minimum value of each basic time unit；
σave: the real-time electric measurement value average value of each basic time unit；
By σo, σc, σmax, σminIt is indicated in the same mark unit；σ firstoAnd σc, the part between them is drawn as rectangle；Such as
Fruit σcHigher than σo, then indicated with solid rectangle；It is on the contrary then indicated with hollow rectangle；With thinner line by σmaxAnd σminRespectively
It is connect with entity；
Each basic time unit's mark unit will will appear two kinds of grown forms, i.e. growth form and reduction type；In special circumstances,
It will appear wireless above rectangle, i.e. σmaxWith σcIt is wireless below equal, rectangle, i.e. σoWith σminEqual, rectangle only remains a line segment,
That is σoWith σoSituations such as phase；
According to the real-time surface conductivity average value σ of each basic time unitave, different equal lines, drafting side is calculated
The average value of several monitorings before is is averaged by method again, and line；
The composition form that unit and equal line are identified by analyzing each basic time unit, the electric state for obtaining transmission line of electricity become
Law, analysis obtain the history working condition of route.
2. the transmission line status determination method according to claim 1 based on historical data analysis, it is characterised in that: base
This chronomere is day, i.e., 24 hours, σo: the electric measurement value of first fixed time of each basic time unit is set as 8
The electric measurement value of point moment；σc: the electric measurement value of second fixed time of each basic time unit, when being set as at 18
The electric measurement value at quarter.
3. the transmission line status determination method according to claim 2 based on historical data analysis, it is characterised in that: root
According to daily real-time surface conductivity average value σave, different average daily lines is calculated, method for drafting is several prisons by before
The average value for surveying day is averaged again, and line；5 average daily lines be before 5 daily means described point line；The average daily line of N
Described point are as follows:
By analyzing the composition form of daily mark unit and average daily line, the electric state changing rule of transmission line of electricity is obtained, is divided
Analysis obtains the history working condition of route.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111461081A (en) * | 2020-05-18 | 2020-07-28 | 江苏电力信息技术有限公司 | Current signal segmentation algorithm |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1553206A (en) * | 2003-12-18 | 2004-12-08 | 西安交通大学 | Electric power apparatus external insulative leakage current on-line monitoring system in converting station |
| CN101149416A (en) * | 2007-11-15 | 2008-03-26 | 上海交通大学 | Power cable insulation state monitoring and life span management system |
| CN102778638A (en) * | 2012-09-11 | 2012-11-14 | 中国电力科学研究院 | Method for judging aging state of cross linked polyethylene (XLPE) cable insulation water tree |
| CN103323703A (en) * | 2013-05-30 | 2013-09-25 | 武汉大学 | Cable connector fault diagnosing method |
| CN104062524A (en) * | 2014-06-09 | 2014-09-24 | 国家电网公司 | Transformer insulating medium performance monitoring and analyzing method and system |
| CN105549516A (en) * | 2016-02-29 | 2016-05-04 | 雅讯东方（山东）科技有限公司 | Public building energy consumption monitoring system |
| CN106093679A (en) * | 2016-06-23 | 2016-11-09 | 顾鸿鸣 | A kind of cable on-line checking and fault diagnosis system |
| CN106353603A (en) * | 2016-08-31 | 2017-01-25 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring method for radio |
| CN108829879A (en) * | 2018-06-26 | 2018-11-16 | 天津城建大学 | A kind of charging pile data monitoring method |
| CN108985484A (en) * | 2018-04-26 | 2018-12-11 | 国网浙江省电力有限公司 | A kind of user power utilization load trend prediction technique based on random index |
-
2018
- 2018-12-26 CN CN201811602167.XA patent/CN109507541B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1553206A (en) * | 2003-12-18 | 2004-12-08 | 西安交通大学 | Electric power apparatus external insulative leakage current on-line monitoring system in converting station |
| CN101149416A (en) * | 2007-11-15 | 2008-03-26 | 上海交通大学 | Power cable insulation state monitoring and life span management system |
| CN102778638A (en) * | 2012-09-11 | 2012-11-14 | 中国电力科学研究院 | Method for judging aging state of cross linked polyethylene (XLPE) cable insulation water tree |
| CN103323703A (en) * | 2013-05-30 | 2013-09-25 | 武汉大学 | Cable connector fault diagnosing method |
| CN104062524A (en) * | 2014-06-09 | 2014-09-24 | 国家电网公司 | Transformer insulating medium performance monitoring and analyzing method and system |
| CN105549516A (en) * | 2016-02-29 | 2016-05-04 | 雅讯东方（山东）科技有限公司 | Public building energy consumption monitoring system |
| CN106093679A (en) * | 2016-06-23 | 2016-11-09 | 顾鸿鸣 | A kind of cable on-line checking and fault diagnosis system |
| CN106353603A (en) * | 2016-08-31 | 2017-01-25 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring method for radio |
| CN108985484A (en) * | 2018-04-26 | 2018-12-11 | 国网浙江省电力有限公司 | A kind of user power utilization load trend prediction technique based on random index |
| CN108829879A (en) * | 2018-06-26 | 2018-11-16 | 天津城建大学 | A kind of charging pile data monitoring method |
Non-Patent Citations (3)
| Title |
|---|
| 焦尚彬 等: "基于遥测技术的输电线路绝缘子污秽在线监测系统", 《电力系统自动化》 * |
| 王黎 等: "绝缘子泄漏电流值预测方法综述", 《电瓷避雷器》 * |
| 赵汉表 等: "基于高压侧测量的输电线绝缘子泄漏电流在线监测系统", 《电力系统自动化》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111461081A (en) * | 2020-05-18 | 2020-07-28 | 江苏电力信息技术有限公司 | Current signal segmentation algorithm |
| CN111461081B (en) * | 2020-05-18 | 2022-01-18 | 江苏电力信息技术有限公司 | Current signal segmentation method |
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