CN106295207A - Insulator dirty degree appraisal procedure based on meteorological data statistics - Google Patents

Insulator dirty degree appraisal procedure based on meteorological data statistics Download PDF

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CN106295207A
CN106295207A CN201610676195.0A CN201610676195A CN106295207A CN 106295207 A CN106295207 A CN 106295207A CN 201610676195 A CN201610676195 A CN 201610676195A CN 106295207 A CN106295207 A CN 106295207A
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insulator
rainfall
salt
close
meteorological data
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CN106295207B (en
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王海涛
吴大伟
谷山强
陶汉涛
赵淳
卢恩泽
郭钧天
张磊
陈玥
何君
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STATE GRID JIANGXI ELECTRIC POWER Co
Wuhan NARI Ltd
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STATE GRID JIANGXI ELECTRIC POWER Co
Wuhan NARI Ltd
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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Abstract

The present invention relates to a kind of insulator dirty degree appraisal procedure based on meteorological data statistics, it is characterised in that: it comprises the following steps: step S1, meteorological data are added up;Step S2, contamination process divide;The close change calculations of step S3, salt;Step S4, gradation for surface pollution are assessed.The present invention is deficient for filthy on-Line Monitor Device and is in electric transmission line isolator one pollution degree appraisal procedure feasible, effective of offer that high pollution is regional, formulates Flash Decontamination Measurements based on insulator dirty degree and implements to have important Practical significance.

Description

Insulator dirty degree appraisal procedure based on meteorological data statistics
Technical field
The present invention relates to electrical network prevent and reduce natural disasters technical field, be specifically related to a kind of insulator based on meteorological data statistics dirty Dirty degree appraisal procedure.
Background technology
Overhead transmission line insulator is by after solid, liquids and gases conductive materials pollution contamination under natural conditions, greatly Under the moist meteorological condition such as mist, dew, drizzle, ice-melt, snow melt, its insulating properties will significantly reduce, may be under working voltage There is pollution flashover accident.Along with industrial expansion, the aggravation of pollution, pollution flashover accident frequently occurs.According to incompletely statistics, winter calendar year 2001 The rain in season North, Northeast China area, snow, greasy weather gas cause 238 66~500kV transmission line of electricity, 34 transformer stations' successively generations altogether Pollution flashover accident;Winter in 2006 Shandong, Hebei and Beijing-Tianjin some areas foggy weather cause 500kV circuit in succession to occur 7 times to dodge Network accident;Put into operation in October, 2010 ± 660kV silver east DC power transmission line there occurs 5 pollution flashover accidents altogether, causes huge Economic loss.
Prevent and treat aspect at pollution flashover, power department formulated a series of such as strengthen creep age distance, be coated with dirt resistance coatings, use have Machine composite insulator, periodically clean, change the Flash Decontamination Measurements such as bad or zero resistance insulator, achieve certain effect.On but State Flash Decontamination Measurements and be substantially the prevention of passive-type, owing to lacking assessment effective to insulator dirty degree, cause pollution flashover Prevention effect is less desirable.China's working standard is mainly with equivalent salt density for filthy characteristic quantity, and according to transmission line of electricity institute warp The wet feature of dirt and the operating experience in area carry out Transmission Line Design, operation maintenance and pollution flashover accident analysis.At present, insulation is obtained The main method of sub-salt density value is that manual sampling is measured, and not only needs to carry out the experiments of measuring of off-line under power down mode, and This method time-consumingly long, costly, efficiency low, limited use that Strategies of Maintenance based on equipment state is played.
Summary of the invention
It is an object of the invention to provide a kind of insulator dirty degree appraisal procedure based on meteorological data statistics.The present invention From electric transmission line isolator dynamic contamination process, by the gas that contamination dynamic with insulator in the statistical estimation time period is relevant As parameter, calculate the insulator close increments of salt after filthy cumulative process respectively and the salt after rainfall cleaning process is close subtracts On a small quantity, and combine the salt density value of initial time insulator and complete to assess the determination of moment insulator contamination grade.
For solving above-mentioned technical problem, a kind of insulator dirty degree assessment based on meteorological data statistics disclosed by the invention Method, it is characterised in that: it comprises the following steps:
Step S1, meteorological data are added up: in units of sky, and statistics initial time is to assessment to be assessed section of transmission line of electricity of moment Meteorological data at shaft tower;
Step S2, contamination process divide: according to the rainfall information in the meteorological data that step S1 obtains, by insulator Dynamically contamination process is divided into filthy accumulation and the process alternateed is cleaned in rainfall;
The close change calculations of step S3, salt: on the basis of classical filthy accumulation and rainfall washing moulding, it is considered to meteorologic parameter On insulator contamination cumulative speed and the impact of rainfall cleaning performance, calculate the close change of salt after insulator experiences dynamic contamination process Change amount;
Step S4, gradation for surface pollution are assessed: ask for the insulator close variable quantity of salt in whole evaluation time section, in conjunction with initial The salt density value in moment, determines the gradation for surface pollution that insulator is current.
Beneficial effects of the present invention:
By change and the corresponding meteorological data of statistics insulator surface equivalent salt density, analyze insulator and dynamically amass Coupled relation between dirt and meteorological data, it is proposed that a kind of insulator dirty degree appraisal procedure based on meteorological data statistics. The method only need to input the meteorological data that contamination dynamic with insulator is relevant, in conjunction with the filthy accumulation obtained by historical data statistics And rainfall cleaning calculates parameter, the assessment of insulator dirty degree can be completed, the deficient and place for filthy on-Line Monitor Device Electric transmission line isolator in high pollution area provides a pollution degree appraisal procedure feasible, effective, to dirty based on insulator The Flash Decontamination Measurements of dirty degree is formulated and implements to have important Practical significance.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention;
Fig. 2 is the insulator dynamic contamination process division figure of the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail:
The insulator dirty degree appraisal procedure based on meteorological data statistics that the present invention proposes, such as Fig. 1, it includes following step Rapid:
Step S1, meteorological data are added up: in units of sky, and statistics initial time is to assessment to be assessed section of transmission line of electricity of moment Meteorological data at shaft tower;
Step S2, contamination process divide: according to the rainfall information in the meteorological data that step S1 obtains, by insulator Dynamically contamination process is divided into filthy accumulation and rainfall cleans the process alternateed, as shown in Figure 2;
The close change calculations of step S3, salt: on the basis of classical filthy accumulation and rainfall washing moulding, it is considered to meteorologic parameter On insulator contamination cumulative speed and the impact of rainfall cleaning performance, calculate the close change of salt after insulator experiences dynamic contamination process Change amount;
Step S4, gradation for surface pollution are assessed: ask for the insulator close variable quantity of salt in whole evaluation time section, in conjunction with initial The salt density value in moment, determines the gradation for surface pollution that insulator is current.
In step S1 of technique scheme, the meteorological data of statistics is that initial time is to assessment moment electric power line pole tower Locate air quality index (AQI) and the rainfall of every day.
Step S2 of technique scheme judges the size of rainfall every day in evaluation time section, if rainfall is zero, Then it is divided into filthy cumulative process;If rainfall is more than zero, be then divided into rainfall cleaning process, by continuous print filth accumulation or The process that is classified as is cleaned in rainfall, and then whole for insulator dynamic contamination process is divided into filthy accumulation and rainfall cleaning phase Process the most alternately.
The classical filthy Accumulation Model used in step S3 of technique scheme have ignored air pollution degree to filth The dynamic effect of accumulation, computing formula is:
S d = A ( 1 - K l e - t τ )
In formula, SdFor equivalent salt density, unit mg/cm2;A is saturated equivalent salt density, the structure model of the value of A and insulator and Running environment is relevant, unit mg/cm2;KlFor constant;T is the contamination time;τ is the constant characterizing contamination speed;E is that nature is normal Number.
After introducing the impact of air quality index (AQI), after contamination process dynamic for i-th is filthy cumulative process Salt close increment Δ SiComputing formula is:
ΔS i = k 1 Aλ - m e - k 2 Δt i λ m
In formula, SiFor the equivalent salt density of insulator surface, unit mg/ after the dynamic contamination process of i-th from initial time cm2;λ is the meansigma methods of air quality index (AQI) during contamination;ΔtiFor the persistent period of contamination process, unit is sky;A For saturated equivalent salt density;k1Correction factor is increased for insulator salt density;k2For insulator salt density rate of rise correction factor;M is empty The factor of influence of makings volume index (AQI) rate of rise close to insulator surface salt;E is natural constant.
In step S3 of technique scheme use classical rainfall washing moulding think contaminant deposition cleaning rate with Accumulation filth amount is directly proportional, and is represented by:
dS d d ω = - k q S d
In formula, SdFor equivalent salt density, ω is accumulated rainfall, unit mm;kqThe close effect of insulator surface salt is cleaned for rainfall Attenuation quotient, unit mm-1
Considering the rain time impact on pollution severity of insulators cleaning performance, contamination process dynamic for jth is fall Salt close decrement Δ S after rain cleaning processjComputing formula is represented by:
ΔS j = S j - 1 [ 1 - k 3 ( 1 - e - k q ω ) ( 1 + k 4 Δt j ) ]
In formula, SjFor the equivalent salt density of insulator surface, unit mg/ after the dynamic contamination process of jth from initial time cm2;ΔtjFor the persistent period of cleaning process, unit is sky;k3Ratio for insulator surface part capable of washing;k4For rainfall The time factor of influence to pollution severity of insulators cleaning performance;E is natural constant.
Step S4 of technique scheme calculates close variation delta S of salt of insulator after any one dynamic contamination process kk Computing formula is:
ΔS k = ( 1 - n ) ( S k - 1 + k 1 Aλ - m e - k 2 Δt k λ m ) + nS k - 1 [ 1 - k 3 ( 1 - e - k q ω ) ( 1 + k 4 Δt k ) ]
In formula, n value is 0 or 1, and n=0 represents filthy cumulative process, and n=1 represents rainfall cleaning process;ΔtkFor this mistake The persistent period of journey, unit is sky;A is saturated equivalent salt density;λ is the meansigma methods of air quality index (AQI) during contamination; M is the factor of influence of air quality index (AQI) rate of rise close to insulator surface salt;k1Increase for insulator salt density and revise Coefficient;k2For insulator salt density rate of rise correction factor;k3Ratio for insulator surface part capable of washing;k4During for rainfall Between factor of influence to pollution severity of insulators cleaning performance;E is natural constant;ω is the accumulative rainfall in rainfall cleaning process Amount, unit mm.
Step S4 of technique scheme calculates the close S of salt of assessment moment insulatorpHave
S p = S 0 + Σ k = 1 N ΔS k
In formula, S0For the equivalent salt density of initial time insulator surface to be assessed, unit is mg/cm2;N is evaluation time section The filthy accumulation inside comprised and rainfall cleaning process sum.After completing the calculating of insulator surface equivalent salt density, according to state's household electrical appliances " Q/GDW 152-2006 power system filth classification selects standard with external insulation " that net company formulates, the filth of assessment insulator Grade.
The content that this specification is not described in detail belongs to prior art known to professional and technical personnel in the field.

Claims (7)

1. an insulator dirty degree appraisal procedure based on meteorological data statistics, it is characterised in that: it comprises the following steps:
Step S1, meteorological data are added up: in units of sky, and statistics initial time is to assessment to be assessed section of electric power line pole tower of moment The meteorological data at place;
Step S2, contamination process divide: according to the rainfall information in the meteorological data that step S1 obtains, dynamic by insulator Contamination process is divided into filthy accumulation and the process alternateed is cleaned in rainfall;
The close change calculations of step S3, salt: on the basis of classical filthy accumulation and rainfall washing moulding, it is considered to meteorologic parameter is to absolutely Edge filth cumulative speed and the impact of rainfall cleaning performance, calculate the close change of salt after insulator experiences dynamic contamination process Amount;
Step S4, gradation for surface pollution are assessed: ask for the insulator close variable quantity of salt in whole evaluation time section, in conjunction with initial time Salt density value, determine the gradation for surface pollution that insulator is current.
Insulator dirty degree appraisal procedure based on meteorological data statistics the most according to claim 1, it is characterised in that: step In rapid S1 the meteorological data of statistics be initial time at assessment moment electric power line pole tower every day air quality index and Rainfall.
Insulator dirty degree appraisal procedure based on meteorological data statistics the most according to claim 1, it is characterised in that: step Rapid S2 judges the size of rainfall every day in evaluation time section, if rainfall is zero, is then divided into filth cumulative process;Such as fall Rainfall is more than zero, then be divided into rainfall cleaning process, continuous print filth accumulation or rainfall is cleaned and is classified as a process, and then Whole for insulator dynamic contamination process is divided into filthy accumulation and the process alternateed is cleaned in rainfall.
Insulator dirty degree appraisal procedure based on meteorological data statistics the most according to claim 1, it is characterised in that: step The classical filthy Accumulation Model used in rapid S3 have ignored the dynamic effect that filth is accumulated by air pollution degree, computing formula For:
S d = A ( 1 - K l e - t τ )
In formula, SdFor equivalent salt density, unit mg/cm2;A is saturated equivalent salt density, the value of A and the structure model of insulator and operation Environment is relevant, unit mg/cm2;KlFor constant;T is the contamination time;τ is the constant characterizing contamination speed, and e is natural constant;
After introducing the impact of air quality index, contamination process dynamic for i-th is the close growth of salt after filthy cumulative process Amount Δ SiComputing formula is:
ΔS i = k 1 Aλ - m e - k 2 Δt i λ m
In formula, SiFor the equivalent salt density of insulator surface, unit mg/cm after the dynamic contamination process of i-th from initial time2;λ For the meansigma methods of air quality index during contamination;ΔtiFor the persistent period of contamination process, unit is sky;A is saturated etc. Value salt is close;k1Correction factor is increased for insulator salt density;k2For insulator salt density rate of rise correction factor;M is that air quality refers to The factor of influence of several rates of rise close to insulator surface salt;E is natural constant.
Insulator dirty degree appraisal procedure based on meteorological data statistics the most according to claim 1, it is characterised in that: step The classical rainfall washing moulding used in rapid S3 thinks that the cleaning rate of contaminant deposition is directly proportional to filthy amount, is represented by:
dS d d ω = - k q S d
In formula, SdFor equivalent salt density, ω is accumulated rainfall, unit mm;kqDeclining of the close effect of insulator surface salt is cleaned for rainfall Subtract coefficient, unit mm-1
Considering the rain time impact on pollution severity of insulators cleaning performance, contamination process dynamic for jth is that rainfall is clear Salt close decrement Δ S after washed journeyjComputing formula is represented by:
ΔS j = S j - 1 [ 1 - k 3 ( 1 - e - k q ω ) ( 1 + k 4 Δt j ) ]
In formula, SjFor the equivalent salt density of insulator surface, unit mg/cm after the dynamic contamination process of jth from initial time2;Δ tjFor the persistent period of cleaning process, unit is sky;k3Ratio for insulator surface part capable of washing;k4For rain time pair The factor of influence of pollution severity of insulators cleaning performance;E is natural constant;kqThe close effect of insulator surface salt is cleaned for rainfall Attenuation quotient, unit mm-1
Insulator dirty degree appraisal procedure based on meteorological data statistics the most according to claim 1, it is characterised in that: institute State and step S4 calculates close variation delta S of salt of insulator after any one dynamic contamination process kkComputing formula is:
ΔS k = ( 1 - n ) ( S k - 1 + k 1 Aλ - m e - k 2 Δt k λ m ) + nS k - 1 [ 1 - k 3 ( 1 - e - k q ω ) ( 1 + k 4 Δt k ) ]
In formula, n value is 0 or 1, and n=0 represents filthy cumulative process, and n=1 represents rainfall cleaning process;ΔtkFor this process Persistent period, unit is sky;A is saturated equivalent salt density;λ is the meansigma methods of air quality index in filthy cumulative process;M is empty The factor of influence of makings volume index rate of rise close to insulator surface salt;k1Correction factor is increased for insulator salt density;k2For absolutely Edge alite close rate of rise correction factor;k3Ratio for insulator surface part capable of washing;k4For rain time to insulation sublist The factor of influence of face filth cleaning performance;E is natural constant;ω is the accumulated rainfall in rainfall cleaning process, unit mm;kq The attenuation quotient of the close effect of insulator surface salt, unit mm is cleaned for rainfall-1
Insulator dirty degree appraisal procedure based on meteorological data statistics the most according to claim 1, it is characterised in that: step Rapid S4 calculates the close S of salt of assessment moment insulatorpHave
S p = S 0 + Σ k = 1 N ΔS k
In formula, S0For the equivalent salt density of initial time insulator surface to be assessed, unit is mg/cm2;N is bag in evaluation time section The filthy accumulation contained and rainfall cleaning process sum;ΔSkFor the close variable quantity of salt of insulator after any one dynamic contamination process k.
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CN107274091A (en) * 2017-06-12 2017-10-20 武汉大学 Preventing Outdoor Insulator from Pollution Flashover for Power Transmission Performance Evaluation, method for early warning and system
CN107704655A (en) * 2017-09-05 2018-02-16 国网浙江省电力公司电力科学研究院 A kind of direct current transportation wire filth appraisal procedure and system
CN108022011A (en) * 2017-11-30 2018-05-11 国家电网公司 Insulator contamination dynamic prediction method in natural environment
CN108957253A (en) * 2018-05-29 2018-12-07 长春工程学院 A kind of non-regularity method for early warning dusty for leading to insulator contamination
CN113159365A (en) * 2020-12-31 2021-07-23 广东电网有限责任公司电力科学研究院 Power transmission and transformation equipment pollution monitoring and early warning method and device
CN113780828A (en) * 2021-09-14 2021-12-10 深圳市恺恩科技有限公司 Power transmission line insulator contamination detection method and system and storage medium

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107274091A (en) * 2017-06-12 2017-10-20 武汉大学 Preventing Outdoor Insulator from Pollution Flashover for Power Transmission Performance Evaluation, method for early warning and system
CN107274091B (en) * 2017-06-12 2020-09-22 武汉大学 Assessment and early warning method and system for external insulation anti-pollution flashover performance of power transmission and transformation equipment
CN107704655A (en) * 2017-09-05 2018-02-16 国网浙江省电力公司电力科学研究院 A kind of direct current transportation wire filth appraisal procedure and system
CN108022011A (en) * 2017-11-30 2018-05-11 国家电网公司 Insulator contamination dynamic prediction method in natural environment
CN108022011B (en) * 2017-11-30 2020-06-12 国家电网公司 Dynamic prediction method for insulator pollution accumulation in natural environment
CN108957253A (en) * 2018-05-29 2018-12-07 长春工程学院 A kind of non-regularity method for early warning dusty for leading to insulator contamination
CN108957253B (en) * 2018-05-29 2020-08-21 长春工程学院 Early warning method for insulator pollution flashover caused by irregular high dust
CN113159365A (en) * 2020-12-31 2021-07-23 广东电网有限责任公司电力科学研究院 Power transmission and transformation equipment pollution monitoring and early warning method and device
CN113780828A (en) * 2021-09-14 2021-12-10 深圳市恺恩科技有限公司 Power transmission line insulator contamination detection method and system and storage medium
CN113780828B (en) * 2021-09-14 2024-03-19 深圳市恺恩科技有限公司 Power transmission line insulator pollution detection method, system and storage medium

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