[go: up one dir, main page]

CN106295207B - Insulator dirty degree appraisal procedure based on meteorological data statistics - Google Patents

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

Info

Publication number
CN106295207B
CN106295207B CN201610676195.0A CN201610676195A CN106295207B CN 106295207 B CN106295207 B CN 106295207B CN 201610676195 A CN201610676195 A CN 201610676195A CN 106295207 B CN106295207 B CN 106295207B
Authority
CN
China
Prior art keywords
insulator
rainfall
salt
pollution
meteorological data
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.)
Active
Application number
CN201610676195.0A
Other languages
Chinese (zh)
Other versions
CN106295207A (en
Inventor
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
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 JIANGXI ELECTRIC POWER Co
Wuhan NARI Ltd
Original Assignee
STATE GRID JIANGXI ELECTRIC POWER Co
Wuhan NARI Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by STATE GRID JIANGXI ELECTRIC POWER Co, Wuhan NARI Ltd filed Critical STATE GRID JIANGXI ELECTRIC POWER Co
Priority to CN201610676195.0A priority Critical patent/CN106295207B/en
Publication of CN106295207A publication Critical patent/CN106295207A/en
Application granted granted Critical
Publication of CN106295207B publication Critical patent/CN106295207B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

Landscapes

  • Insulators (AREA)
  • Testing Relating To Insulation (AREA)

Abstract

本发明涉及一种基于气象数据统计的绝缘子污秽度评估方法,其特征在于:它包括以下步骤:步骤S1、气象数据统计;步骤S2、积污过程划分;步骤S3、盐密变化计算;步骤S4、污秽等级评估。本发明为污秽在线监测装置匮乏而又处于高污染地区的输电线路绝缘子提供一个可行、有效的污秽度评估方法,对基于绝缘子污秽度的防污闪措施制定与实施具有重要的实用意义。

The present invention relates to a method for evaluating the degree of pollution of insulators based on meteorological data statistics, which is characterized in that it comprises the following steps: Step S1, meteorological data statistics; Step S2, division of pollution process; Step S3, salt density change calculation; Step S4 , Pollution level assessment. The invention provides a feasible and effective pollution degree evaluation method for transmission line insulators that lack pollution on-line monitoring devices and are located in highly polluted areas, and has important practical significance for formulating and implementing anti-pollution flashover measures based on the pollution degree of insulators.

Description

基于气象数据统计的绝缘子污秽度评估方法Evaluation Method of Insulator Pollution Degree Based on Meteorological Data Statistics

技术领域technical field

本发明涉及电网防灾减灾技术领域,具体涉及一种基于气象数据统计的绝缘子污秽度评估方法。The invention relates to the technical field of power grid disaster prevention and reduction, in particular to a method for evaluating the pollution degree of insulators based on meteorological data statistics.

背景技术Background technique

架空输电线路绝缘子受自然条件下固体、液体和气体导电物质污染积污后,在大雾、露、毛毛雨、融冰、融雪等潮湿气象条件下,其绝缘性能将显著降低,可能在运行电压下发生污闪事故。随着工业的发展、污染的加剧,污闪事故频繁发生。据不完全统计,2001年冬季华北和东北地区的雨、雪、雾天气共导致238条66~500kV输电线路、34座变电站先后发生污闪事故;2006年冬季山东、河北及京津部分地区大雾天气导致500kV线路相继发生7次闪络事故;2010年10月投运的±660kV银东直流输电线路共发生了5次污闪事故,造成了巨大的经济损失。After the insulators of overhead transmission lines are polluted by solid, liquid and gaseous conductive substances under natural conditions, their insulation performance will be significantly reduced under humid weather conditions such as fog, dew, drizzle, melting ice and snow, and may be under operating voltage. A pollution flashover accident occurred. With the development of industry and the aggravation of pollution, pollution flashover accidents occur frequently. According to incomplete statistics, in the winter of 2001, rain, snow, and fog in North China and Northeast China caused pollution flashover accidents in 238 66-500kV transmission lines and 34 substations; The foggy weather caused seven flashover accidents on the 500kV line; five pollution flashover accidents occurred on the ±660kV Yindong DC transmission line put into operation in October 2010, causing huge economic losses.

在污闪防治方面,电力部门制定了一系列诸如加大爬电距离、涂防尘涂料、采用有机合成绝缘子、定期清扫、更换不良或零值绝缘子等防污闪措施,取得了一定的效果。但上述防污闪措施本质上均为被动型的预防,由于缺少对绝缘子污秽度有效的评估,导致污闪防治效果不是很理想。我国现行标准主要以等值盐密为污秽特征量,并根据输电线路所经地区的污湿特征和运行经验进行输电线路设计、运行维护及污闪事故分析。目前,获取绝缘子盐密值的主要方法是人工取样测量,不仅需要在停电状态下开展离线的测量实验,而且这种方法耗时长、费用高、效率低,对于基于设备状态的检修策略所起到的作用有限。In terms of pollution flashover prevention, the power sector has formulated a series of anti-pollution flashover measures, such as increasing creepage distance, applying dust-proof paint, using organic synthetic insulators, regular cleaning, and replacing defective or zero-value insulators, etc., and achieved certain results. However, the above-mentioned anti-pollution flashover measures are passive prevention in nature. Due to the lack of effective evaluation of the pollution degree of insulators, the effect of pollution flashover prevention and control is not very satisfactory. my country's current standards mainly use the equivalent salt density as the pollution characteristic quantity, and conduct transmission line design, operation and maintenance, and pollution flashover accident analysis based on the pollution and humidity characteristics of the areas where the transmission line passes and operating experience. At present, the main method of obtaining the salt density value of insulators is manual sampling measurement, which not only requires offline measurement experiments under power outage conditions, but also takes a long time, high cost, and low efficiency, which plays a role in maintenance strategies based on equipment status has a limited effect.

发明内容Contents of the invention

本发明的目的在于提供一种基于气象数据统计的绝缘子污秽度评估方法。本发明从输电线路绝缘子动态积污过程出发,通过统计评估时间段内与绝缘子动态积污有关的气象参数,分别计算绝缘子在污秽累积过程后的盐密增加量以及在降雨清洗过程后的盐密减少量,并结合初始时刻绝缘子的盐密值完成评估时刻绝缘子污秽等级的确定。The purpose of the present invention is to provide a method for evaluating the pollution degree of insulators based on meteorological data statistics. The present invention starts from the dynamic fouling process of the insulator of the transmission line, and calculates the salt density increase of the insulator after the pollution accumulation process and the salt density after the rain cleaning process by statistically evaluating meteorological parameters related to the dynamic fouling of the insulator within a time period. The reduction amount is combined with the salt density value of the insulator at the initial moment to complete the determination of the pollution level of the insulator at the evaluation moment.

为解决上述技术问题,本发明公开的一种基于气象数据统计的绝缘子污秽度评估方法,其特征在于:它包括以下步骤:In order to solve the above technical problems, the present invention discloses a method for evaluating the pollution degree of insulators based on meteorological data statistics, which is characterized in that it includes the following steps:

步骤S1、气象数据统计:以天为单位,统计初始时刻至评估时刻待评估段输电线路杆塔处的气象数据;Step S1, meteorological data statistics: count the meteorological data at the tower of the transmission line to be evaluated from the initial time to the evaluation time in units of days;

步骤S2、积污过程划分:根据步骤S1得到的气象数据中的降雨量信息,将绝缘子的动态积污过程划分成为污秽累积和降雨清洗相互交替的过程;Step S2, division of pollution process: according to the rainfall information in the meteorological data obtained in step S1, the dynamic pollution process of the insulator is divided into the process of pollution accumulation and rainfall cleaning alternately;

步骤S3、盐密变化计算:在经典的污秽累积和降雨清洗模型基础上,考虑气象参数对绝缘子污秽累积速率和降雨清洗效果的影响,计算绝缘子经历动态积污过程后的盐密变化量;Step S3, Calculation of Salt Density Change: Based on the classic pollution accumulation and rainfall cleaning model, considering the impact of meteorological parameters on the insulator pollution accumulation rate and rainfall cleaning effect, calculate the salt density change of the insulator after the dynamic pollution process;

步骤S4、污秽等级评估:求取绝缘子在整个评估时间段内的盐密变化量,结合初始时刻的盐密值,确定绝缘子当前的污秽等级。Step S4, Pollution Level Evaluation: Calculate the salt density variation of the insulator during the entire evaluation period, and determine the current pollution level of the insulator in combination with the salt density value at the initial moment.

本发明的有益效果:Beneficial effects of the present invention:

通过统计绝缘子表面等值盐密的变化以及所对应的气象数据,分析绝缘子动态积污与气象数据之间的耦合关系,可提出一种基于气象数据统计的绝缘子污秽度评估方法。该方法只需输入与绝缘子动态积污有关的气象数据,结合由历史数据统计得到的污秽累积以及降雨清洗计算参数,即可完成绝缘子污秽度的评估,为污秽在线监测装置匮乏而又处于高污染地区的输电线路绝缘子提供一个可行、有效的污秽度评估方法,对基于绝缘子污秽度的防污闪措施制定与实施具有重要的实用意义。By counting the change of the equivalent salt density on the surface of the insulator and the corresponding meteorological data, and analyzing the coupling relationship between the dynamic pollution of the insulator and the meteorological data, a method for evaluating the pollution degree of insulators based on meteorological data statistics can be proposed. This method only needs to input meteorological data related to the dynamic pollution of insulators, combined with the calculation parameters of pollution accumulation and rainfall cleaning obtained from historical data statistics, to complete the evaluation of the pollution degree of insulators. The transmission line insulators in the region provide a feasible and effective pollution degree evaluation method, which has important practical significance for the formulation and implementation of anti-pollution flashover measures based on the pollution degree of insulators.

附图说明Description of drawings

图1为本发明的流程图;Fig. 1 is a flow chart of the present invention;

图2为本发明实施例的绝缘子动态积污过程划分图。Fig. 2 is a partition diagram of the dynamic fouling process of an insulator according to an embodiment of the present invention.

具体实施方式Detailed ways

以下结合附图和具体实施例对本发明作进一步的详细说明:Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

本发明提出的基于气象数据统计的绝缘子污秽度评估方法,如图1,它包括以下步骤:The insulator pollution degree evaluation method based on meteorological data statistics that the present invention proposes, as shown in Figure 1, it comprises the following steps:

步骤S1、气象数据统计:以天为单位,统计初始时刻至评估时刻待评估段输电线路杆塔处的气象数据;Step S1, meteorological data statistics: count the meteorological data at the tower of the transmission line to be evaluated from the initial time to the evaluation time in units of days;

步骤S2、积污过程划分:根据步骤S1得到的气象数据中的降雨量信息,将绝缘子的动态积污过程划分成为污秽累积和降雨清洗相互交替的过程,如图2所示;Step S2, division of pollution process: according to the rainfall information in the meteorological data obtained in step S1, the dynamic pollution process of insulators is divided into the process of pollution accumulation and rainfall cleaning alternately, as shown in Figure 2;

步骤S3、盐密变化计算:在经典的污秽累积和降雨清洗模型基础上,考虑气象参数对绝缘子污秽累积速率和降雨清洗效果的影响,计算绝缘子经历动态积污过程后的盐密变化量;Step S3, Calculation of Salt Density Change: Based on the classic pollution accumulation and rainfall cleaning model, considering the impact of meteorological parameters on the insulator pollution accumulation rate and rainfall cleaning effect, calculate the salt density change of the insulator after the dynamic pollution process;

步骤S4、污秽等级评估:求取绝缘子在整个评估时间段内的盐密变化量,结合初始时刻的盐密值,确定绝缘子当前的污秽等级。Step S4, Pollution Level Evaluation: Calculate the salt density variation of the insulator during the entire evaluation period, and determine the current pollution level of the insulator in combination with the salt density value at the initial moment.

上述技术方案的步骤S1中统计的气象数据为初始时刻至评估时刻输电线路杆塔处每天的空气质量指数(AQI)以及降雨量。The meteorological data counted in step S1 of the above technical solution is the daily air quality index (AQI) and rainfall at the transmission line tower from the initial moment to the evaluation moment.

上述技术方案的步骤S2中判断评估时间段内每天降雨量的大小,如降雨量为零,则划分成污秽累积过程;如降雨量大于零,则划分成为降雨清洗过程,将连续的污秽累积或降雨清洗归为一个过程,进而将绝缘子整个动态积污过程划分成为污秽累积和降雨清洗相互交替的过程。In the step S2 of the above-mentioned technical solution, it is judged the size of the daily rainfall in the evaluation time period. If the rainfall is zero, it will be divided into a pollution accumulation process; if the rainfall is greater than zero, it will be divided into a rainfall cleaning process, and the continuous pollution accumulation or Rainfall cleaning is classified as one process, and then the entire dynamic fouling process of insulators is divided into alternating processes of pollution accumulation and rainfall cleaning.

上述技术方案的步骤S3中采用的经典污秽累积模型忽略了空气污染程度对污秽累积的动态影响,计算公式为:The classic pollution accumulation model adopted in step S3 of the above technical solution ignores the dynamic influence of the air pollution degree on pollution accumulation, and the calculation formula is:

式中,Sd为等值盐密,单位mg/cm2;A为饱和等值盐密,A的值与绝缘子的结构型号和运行环境有关,单位mg/cm2;Kl为常数;t为积污时间;τ为表征积污速率的常数;e为自然常数。In the formula, S d is the equivalent salt density, in mg/cm 2 ; A is the saturated equivalent salt density, and the value of A is related to the structure model and operating environment of the insulator, and the unit is mg/cm 2 ; K l is a constant; t is the fouling time; τ is a constant characterizing the fouling rate; e is a natural constant.

引入空气质量指数(AQI)的影响后,对于第i个动态积污过程为污秽累积过程后的盐密增长量ΔSi计算公式为:After introducing the influence of the air quality index (AQI), the formula for calculating the salt density increase ΔS i after the i-th dynamic pollution accumulation process is the pollution accumulation process is:

式中,Si为从初始时刻起第i个动态积污过程后绝缘子表面的等值盐密,单位mg/cm2;λ为积污过程中空气质量指数(AQI)的平均值;Δti为积污过程的持续时间,单位为天;A为饱和等值盐密;k1为绝缘子盐密增长修正系数;k2为绝缘子盐密增长速率修正系数;m为空气质量指数(AQI)对绝缘子表面盐密增长速率的影响因子;e为自然常数。In the formula, Si is the equivalent salt density on the surface of the insulator after the i-th dynamic fouling process from the initial moment, unit mg/cm 2 ; λ is the average value of the air quality index (AQI) during the fouling process; Δt i is the duration of the fouling process, in days; A is the saturated equivalent salt density; k 1 is the correction coefficient of insulator salt density growth; k 2 is the correction coefficient of insulator salt density growth rate; m is the air quality index (AQI) against Influencing factor of insulator surface salt density growth rate; e is a natural constant.

上述技术方案的步骤S3中采用的经典降雨清洗模型认为沉积污染物的清洗率与累积污秽量成正比,可表示为:The classic rainfall cleaning model adopted in step S3 of the above technical solution considers that the cleaning rate of deposited pollutants is proportional to the accumulated amount of pollution, which can be expressed as:

式中,Sd为等值盐密,ω为累计降雨量,单位mm;kq为降雨清洗绝缘子表面盐密效果的衰减系数,单位mm-1In the formula, S d is the equivalent salt density, ω is the accumulated rainfall, in mm; k q is the attenuation coefficient of the salt density effect of rainfall cleaning the surface of the insulator, in mm -1 ;

考虑降雨时间对绝缘子表面污秽清洗效果的影响,对于第j个动态积污过程为降雨清洗过程后的盐密减少量ΔSj计算公式可表示为:Considering the influence of rainfall time on the cleaning effect of insulator surface pollution, the calculation formula of salt density reduction ΔS j after the jth dynamic pollution process is the rainfall cleaning process can be expressed as:

式中,Sj为从初始时刻起第j个动态积污过程后绝缘子表面的等值盐密,单位mg/cm2;Δtj为清洗过程的持续时间,单位为天;k3为绝缘子表面可清洗部分的比例;k4为降雨时间对绝缘子表面污秽清洗效果的影响因子;e为自然常数。In the formula, S j is the equivalent salt density on the surface of the insulator after the jth dynamic fouling process from the initial moment, in mg/cm 2 ; Δt j is the duration of the cleaning process, in days; k 3 is the insulator surface The proportion of the washable part; k 4 is the influence factor of the rainfall time on the cleaning effect of the dirt on the surface of the insulator; e is a natural constant.

上述技术方案的步骤S4中计算任意一动态积污过程k后绝缘子的盐密变化量ΔSk计算公式为:In step S4 of the above technical solution, the formula for calculating the salt density change ΔS k of the insulator after any dynamic fouling process k is:

式中,n取值为0或1,n=0表示污秽累积过程,n=1表示降雨清洗过程;Δtk为该过程的持续时间,单位为天;A为饱和等值盐密;λ为积污过程中空气质量指数(AQI)的平均值;m为空气质量指数(AQI)对绝缘子表面盐密增长速率的影响因子;k1为绝缘子盐密增长修正系数;k2为绝缘子盐密增长速率修正系数;k3为绝缘子表面可清洗部分的比例;k4为降雨时间对绝缘子表面污秽清洗效果的影响因子;e为自然常数;ω为降雨清洗过程中的累计降雨量,单位mm。In the formula, the value of n is 0 or 1, n=0 represents the pollution accumulation process, n=1 represents the rainfall cleaning process; Δt k is the duration of the process, the unit is day; A is the saturated equivalent salt density; λ is The average value of the air quality index (AQI) during the pollution process; m is the influence factor of the air quality index (AQI) on the growth rate of the insulator surface salt density; k 1 is the correction coefficient of the insulator salt density growth; k 2 is the insulator salt density growth rate Rate correction coefficient; k 3 is the proportion of the insulator surface that can be cleaned; k 4 is the impact factor of rainfall time on the cleaning effect of insulator surface pollution; e is a natural constant; ω is the cumulative rainfall during the rain cleaning process, in mm.

上述技术方案的步骤S4中计算评估时刻绝缘子的盐密SpIn step S4 of the above technical solution, the salt density S p of the insulator at the evaluation moment is calculated as follows:

式中,S0为初始时刻待评估绝缘子表面的等值盐密,单位为mg/cm2;N为评估时间段内包含的污秽累积和降雨清洗过程总数。完成绝缘子表面等值盐密的计算后,依据国家电网公司制定的《Q/GDW 152-2006电力系统污秽分级与外绝缘选择标准》,评估绝缘子的污秽等级。In the formula, S 0 is the equivalent salt density on the surface of the insulator to be evaluated at the initial moment, in mg/cm 2 ; N is the total number of pollution accumulation and rainfall cleaning processes included in the evaluation period. After completing the calculation of the equivalent salt density on the surface of the insulator, evaluate the pollution level of the insulator according to the "Q/GDW 152-2006 Power System Pollution Classification and External Insulation Selection Standard" formulated by the State Grid Corporation of China.

本说明书未作详细描述的内容属于本领域专业技术人员公知的现有技术。The content not described in detail in this specification belongs to the prior art known to those skilled in the art.

Claims (6)

1. a kind of insulator dirty degree appraisal procedure based on meteorological data statistics, it is characterised in that:It includes the following steps:
Step S1, meteorological data counts:As unit of day, statistics initial time to assessment to be assessed section of electric power line pole tower of moment The meteorological data at place;
Step S2, contamination process divides:Rainfall information in the meteorological data obtained according to step S1, by the dynamic of insulator Contamination process is divided into filthy accumulation and the process alternateed is cleaned in rainfall;
Step S3, the close variation of salt calculates:On the basis of classical filthy accumulation and rainfall washing moulding, consider meteorologic parameter to exhausted The influence of edge filth cumulative speed and rainfall cleaning performance calculates the close variation of salt after insulator experience dynamic contamination process Amount;
Step S4, gradation for surface pollution is assessed:Salt close variable quantity of the insulator within the entirely assessment period is sought, in conjunction with initial time Salt density value, determine the current gradation for surface pollution of insulator;
The close variation delta S of salt of insulator after any one dynamic contamination process k is calculated in the step S3kCalculation formula is:
In formula, n values are 0 or 1, and n=0 indicates that filthy accumulation, n=1 indicate rainfall cleaning process;ΔtkFor the process Duration, unit are day;A is saturation equivalent salt density;λ is the average value of air quality index in filthy accumulation;M is sky Impact factor of the makings volume index to the close rate of rise of insulator surface salt;k1Increase correction factor for insulator salt density;k2It is exhausted The close rate of rise correction factor of edge alite;k3For the ratio of insulator surface part capable of washing;k4Be rain time to insulate sublist The impact factor of face filth cleaning performance;E is natural constant;ω is the accumulated rainfall in rainfall cleaning process, unit mm;kq The attenuation coefficient of the close effect of insulator surface salt, unit mm are cleaned for rainfall-1
2. the insulator dirty degree appraisal procedure according to claim 1 based on meteorological data statistics, it is characterised in that:Step The meteorological data counted in rapid S1 be air quality index daily at initial time to assessment moment electric power line pole tower and Rainfall.
3. the insulator dirty degree appraisal procedure according to claim 1 based on meteorological data statistics, it is characterised in that:Step Judge that the size of rainfall is then divided into filthy accumulation if rainfall is zero daily in the assessment period in rapid S2;Such as drop Rainfall is more than zero, then is divided into rainfall cleaning process, continuous filthy accumulation or rainfall cleaning is classified as a process, in turn The entire dynamic contamination process of insulator is divided into filthy accumulation and the process alternateed is cleaned in rainfall.
4. the insulator dirty degree appraisal procedure according to claim 1 based on meteorological data statistics, it is characterised in that:Step The filthy Accumulation Model of classics used in rapid S3 has ignored air pollution degree to the dynamic effects of filth accumulation, calculation formula For:
In formula, SdFor equivalent salt density, unit mg/cm2;A is saturation equivalent salt density, the value of A and the structure model of insulator and operation Environment is related, unit mg/cm2;KlFor constant;T is the contamination time;τ is the constant for characterizing contamination rate, and e is natural constant;
It is the close growth of salt after filthy accumulation for i-th of dynamic contamination process after introducing the influence of air quality index Measure Δ SiCalculation formula is:
In formula, SiFor the equivalent salt density of insulator surface after i-th of dynamic contamination process from initial time, unit mg/cm2;λ For the average value of air quality index during contamination;ΔtiFor the duration of contamination process, unit is day;A is saturation etc. It is close to be worth salt;k1Increase correction factor for insulator salt density;k2For insulator salt density rate of rise correction factor;M refers to for air quality Several impact factors to the close rate of rise of insulator surface salt;E is natural constant.
5. the insulator dirty degree appraisal procedure according to claim 1 based on meteorological data statistics, 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:
In formula, SdFor equivalent salt density, ω is accumulated rainfall, unit mm;kqDeclining for the close effect of insulator surface salt is cleaned for rainfall Subtract coefficient, unit mm-1
Consider influence of the rain time to pollution severity of insulators cleaning performance, is that rainfall is clear for j-th of dynamic contamination process Wash the close decrement Δ S of salt after journeyjCalculation formula is represented by:
In formula, SjFor the equivalent salt density of insulator surface after j-th of dynamic contamination process from initial time, unit mg/cm2;Δ tjFor the duration of cleaning process, unit is day;k3For the ratio of insulator surface part capable of washing;k4For rain time pair The impact factor of pollution severity of insulators cleaning performance;E is natural constant;kqThe close effect of insulator surface salt is cleaned for rainfall Attenuation coefficient, unit mm-1
6. the insulator dirty degree appraisal procedure according to claim 1 based on meteorological data statistics, it is characterised in that:Step The close S of salt of assessment moment insulator is calculated in rapid S4pHave
In formula, S0For the equivalent salt density of initial time insulator surface to be assessed, unit mg/cm2;N is packet in the assessment period 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.
CN201610676195.0A 2016-08-17 2016-08-17 Insulator dirty degree appraisal procedure based on meteorological data statistics Active CN106295207B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610676195.0A CN106295207B (en) 2016-08-17 2016-08-17 Insulator dirty degree appraisal procedure based on meteorological data statistics

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610676195.0A CN106295207B (en) 2016-08-17 2016-08-17 Insulator dirty degree appraisal procedure based on meteorological data statistics

Publications (2)

Publication Number Publication Date
CN106295207A CN106295207A (en) 2017-01-04
CN106295207B true CN106295207B (en) 2018-08-07

Family

ID=57678527

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610676195.0A Active CN106295207B (en) 2016-08-17 2016-08-17 Insulator dirty degree appraisal procedure based on meteorological data statistics

Country Status (1)

Country Link
CN (1) CN106295207B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN108022011B (en) * 2017-11-30 2020-06-12 国家电网公司 Dynamic prediction method of insulator fouling in natural environment
CN108957253B (en) * 2018-05-29 2020-08-21 长春工程学院 An early warning method for insulator pollution flashover caused by irregular high dust
CN113159365B (en) * 2020-12-31 2023-04-18 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
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
CN118378198B (en) * 2024-06-25 2024-09-13 国网山东省电力公司邹城市供电公司 Power transmission line pollution flashover fault prediction method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105160419A (en) * 2015-08-06 2015-12-16 国家电网公司 Insulator equivalent salt density prediction model introducing air quality index
CN105574773A (en) * 2014-10-17 2016-05-11 国家电网公司 Method for determining pollution grade change of power grid theory

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9384560B2 (en) * 2014-10-27 2016-07-05 King Fahd University Of Petroleum And Minerals Contamination level estimation method for high voltage insulators

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105574773A (en) * 2014-10-17 2016-05-11 国家电网公司 Method for determining pollution grade change of power grid theory
CN105160419A (en) * 2015-08-06 2015-12-16 国家电网公司 Insulator equivalent salt density prediction model introducing air quality index

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
自然积污绝缘子等值盐密的累积规律;王少华等;《绝缘材料》;20110831;第44卷(第4期);第52-54页 *

Also Published As

Publication number Publication date
CN106295207A (en) 2017-01-04

Similar Documents

Publication Publication Date Title
CN106295207B (en) Insulator dirty degree appraisal procedure based on meteorological data statistics
CN104361216B (en) A kind of insulator contamination method for early warning based on change power analytic hierarchy process (AHP)
CN104459489B (en) Method for identifying contamination degree of post insulator
CN104578061B (en) Method for pre-estimating overhead power transmission line wire designed ice thickness
CN106682774A (en) Contact net insulator pollution flashover prediction method
CN108022011B (en) Dynamic prediction method of insulator fouling in natural environment
Sahli et al. Prediction parameters of dimensioning of insulators under non-uniform contaminated conditions by multiple regression analysis
CN105279612A (en) Poisson distribution-based power transmission line tripping risk assessment method
CN108008237A (en) A kind of electric transmission line isolator pollution flashover automatic visual observation system and method
CN105160419B (en) Insulator equivalent salt density prediction model introducing air quality index
CN103135033A (en) Insulator saturation damped maximum leakage current prediction method under non-temperature difference condition
CN116502136A (en) Noise-Based Evaluation Method of Pollution Level of Operating Insulators
CN105866150B (en) A kind of the revision method and power grid pollution area distribution graph of power grid pollution area distribution graph
CN107704655A (en) A kind of direct current transportation wire filth appraisal procedure and system
CN108009130B (en) Regression analysis-based insulator pollution accumulation prediction method in natural environment
CN105652164A (en) Risk level assessment method for pollution flashover accident of insulator
CN112858851B (en) A method for evaluating the performance state of composite insulators suitable for special industrial dust areas
CN105865978B (en) Evaluation method of RTV coating for surface aging of insulators
CN104992055A (en) Pollution-flashover-caused trip probability calculation method of overhead lines in sand and dust environment
CN118982225A (en) A method for assessing the risk of pollution flashover disaster based on insulator pollution and wetness index
Bueno-Barrachina et al. Novel technique for estimating pollution-associated leakage current in high-voltage insulators based on adaptive filtering in long-term recording
CN110514968A (en) A Calculation Method of Insulator Withstand Voltage Gradient Considering Soluble Pollution Components
CN105067745B (en) Ion pairing method for detecting contamination components based on fuzzy clustering
CN113159365B (en) Power transmission and transformation equipment pollution monitoring and early warning method and device
CN110768144A (en) A rapid recovery method for the operation performance of composite outer insulation of power transmission and transformation equipment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant