Modern Pollution Monitoring Principles Allow Better Selection of Insulators for Polluted Service Con

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Modern Pollution Monitoring Principles Allow Better Selection of Insulators for Polluted Service Conditions


INSULATORS

Modern Pollution Monitoring Principles Allow Better Selection of Insulators for Polluted Service Conditions

Failures of insulators due to pollution flashover can prove very costly, causing potentially long outages and requiring expensive and time-consuming maintenance.

(Part 2 of 2)

This article, the second of two-parts, was contributed by Igor Gutman of STRI in Sweden and Wallace Vosloo of Eskom in South Africa. It introduces practical field and laboratory experience with different pollution monitoring techniques as well as presents principles to convert from one parameter to another. It also discusses how to use these parameters for insulator dimensioning according to the requirements of the IEC 60815.

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Photo: INMR ©

By most accounts, one of the leading causes of such failures is improper specification of insulators in the first place – to the extent that the designs selected are unable to cope with all the stresses imposed by pollution in the environment. Therefore, it is vital for engineers at power supply companies to correctly understand the real pollution characteristics of the service environment into which insulators will be placed into service.

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Photo: INMR © Photo: INMR ©

Breaker housings at left were not well specified for service at a 110 kV substation near seacoast and subsequently had to be coated with RTV to prevent flashover. Newer breakers at same substation (top) feature porcelain housings with alternating sheds and higher specific creepage and do not have coatings.

Leakage Current Measurement Leakage current flowing on an insulator depends mainly on the characteristics of the pollution on its surface as well as its geometry and material. For this reason, measuring and analyzing leakage current can be useful to estimate pollution severity and risk of flashover. Leakage current is usually measured by collecting the current at the ground end of energized insulators. The three most common methods for this purpose are: 1. Surge counting The number of leakage current pulses (or surges) exceeding some threshold level can be recorded during a period of time. This is important since the numbers of pulses as well as their amplitudes increase when approaching the last stage of the pollution flashover process.

recording the highest peak current over a given time interval. This parameter can then be related to risk of pollution flashover. 3. Measuring accumulated charge Accumulated charge measurement is performed in the same way as leakage current measurement. However, instead of focusing on the values of the highest peaks, the signal is integrated to represent

accumulated charge – a parameter more related to the ageing process on the insulator’s surface. Over the years, a number of different pollution monitors to measure leakage current have been developed. Products have ranged from simple surge counters to advanced multi-channel devices that even incoporate integrated meteorological stations.

Leakage current device installed in South Africa (left) and Norway (right) allows continuous sampling of leakage currents on 9 energized insulators and can record peak currents (positive and negative), average currents (positive and negative), RMS currents, accumulated charge and energy loss.

2. Measuring peak current Information about pollution severity on an insulator can be obtained by

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Rotated Component Matrix* 1

Component 2 3 4

COM25MAX

-.142

.129

Humidity

.249

.790

No rain (0 mm)

-.977

-.109

Light rain (< 1 mm)

.972

.125

-.136

5 .737

Wind from sea (45-260 degrees)

-.788

.292

Most dangerous wind from sea (260-285 degrees)

.766

.193

.266

-.206

Low wind (< 1 m/s)

-.125

-.112

-.951

.135

-.717

.594

.276

Medium wind (1-5 m/s)

.208

Strong wind (5-7 m/s)

-.152

Storm (> 7 m/s)

.291

-.802 .953

.199

Extraction method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization

Fig. 1: Example of application of MVA method: (top) Matrix of factors showing that pollution event consist of wind plus humidity plus light rain. (bottom) Same illustrated by one pollution event.

These days, many power supply companies are looking for simple and robust systems for pollution monitoring and warning in place of complicated ‘research-type’ systems for measuring leakage current.

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A standard such system now typically includes an integrated weather station to record wind speeds and direction, humidity, rainfall, temperature and UV-B radiation. All sampled values are then saved at some user-defined interval, typically every 30 minutes. Recorded data is retrieved using a serial port, which also serves to configure the instrument. Using such advanced devices, insulator researchers have been able to obtain a large volumes of leakage current and corresponding weather data. These have helped to better understand the physics of the pollution flashover process on different types of insulators. Sophisticated mathematical approaches have also sometimes been necessary. For example, multivariate analysis (MVA) methods has been used since they are appropriate to study and analyze data structured on many interrelated variables. MVA software was successfully tested in an ageing and pollution performance study performed on seven insulators exposed to pollution at the Kelso Test Station (on the Indian Ocean coast of South Africa) and at the Dungeness Test Station (on the southern coast of the United Kingdom. An example of applying MVA is shown in Figure 1. A classical coastal pollution event is characterized by strong wind from the sea followed by some kind of wetting. However, in the case of a silicone rubber insulator, high humidity alone is usually not sufficient to lead to high current. Therefore additional wetting in the form of light rain is usually needed. This conclusion is supported by recording a typical pollution event on a silicone rubber insulator. Sensitivity of MVA can be very high. For example, during the prepollution phase of the pollution event at the Dungeness Test Station, salt is transported inland by strong

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All Photos: INMR ©

Silicone housing on bushing exposed to coastal pollution in New Zealand. Pollution accumulated on porcelain removed from same site (right).

winds. The most dangerous wind direction (associated with the four most severe pollution events and leading to the highest currents) has an angle of between 0 and 20° to the shore. This is due to a wall of sand that protects the site from the perpendicular (90°) direction. The description of the pollution event at the Kelso Test Station on South Africa’s Indian Ocean coast is slightly different. During the pre-

pollution phase at Kelso, salt comes in not only from the sea but also from the land since wind direction is almost parallel to the coast. Another practical application of leakage current data would be to convert it into pollution flashover performance curves. This approach was tested by applying STRI’s IST program (discussed in Part 1 of this article) to 10 uniquely different insulators at Eskom’s Koeberg

Insulator Pollution Test Station (KIPTS) on the Atlantic coast near Cape Town. Results proved quite reasonable in predicting outage rate compared to actual experience, i.e. number of blown fuses), (see Table 1). Results of such field station testing can be used practically well beyond simply assigning a ‘pass/fail’ grade to each insulator tested. For example, they can help estimate the pollution flashover performance of a complete overhead line located in the same area and equipped with these same insulators (geometry and material).

Photo: INMR ©

These days, however, many power supply companies are looking for simple and robust systems for pollution monitoring and warning in place of complicated ‘researchtype’ systems for measuring leakage current. This is because uprating/ upgrading existing overhead lines requires accurate evaluation of pollution levels.

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Wind direction is an important variable in understanding pollution deposition events.

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Table 1: Example of Application of Leakage Current Data Material

Calculated number of flashovers for 1 insulator per year

Number of fuse operations* at KIPTS after 1 year

Long rod

SIR

10-5

0

36

Long rod

SIR

10-9

0

B-2

24

Long rod

SIR

10-4

0

C-1

31

Long rod

SIR

-5

10

0

C-2

20

Long rod

SIR

0.5

0

D-1

36

Long rod

EPDM

0.3

0

D-2

35

Long rod

SIR

-2

10

0

E-1

29

Long rod

Porcelain

1.3

4

E-2

29

Long rod

RTV SIR

10-2

0

F

27

Cap & pin

Glass

2.5

4

Code

Specific creepage distance, mm/kV

Type

A

31

B-1

Example of single-channel devices for leakage current monitoring: South Africa (top), United States (bottom). Photo taken from ISH paper D-3, 2009).

Pollution performance curves based on this data and used in specialized software program give reasonable agreement with field experience.

Indeed, attempts to use the systems described above for this purpose have not always been successful because they are expensive and need maintenance at least once a year. Moreover, there were communication problems in many applications. Therefore, single-channel systems (for peak current only) applicable to both overhead lines and substations are now most in demand and under

Example of different cells used for measuring hydrophobicity transfer.

active development. The goal is to have relatively inexpensive and reliable devices cover large areas and allow data collection and transfer via the Internet.

Specific Techniques Applying to Composite Insulators Specific diagnostic techniques for composite insulators (along with practical examples from field and

laboratory investigation) include: • Hydrophobicity measurement; • Hydrophobicity transfer (localized ESDD); • Rapid flashover procedure to obtain dielectric strength of naturally polluted insulators. 1. Hydrophobicity Hydrophobicity measurements are performed according to IEC TS 62073 and comparatively simple.

Figure 2: Examples of HT measurement and their spread for composite insulators removed from different sites and lines.

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3. Rapid Flashover Procedure (to obtain dielectric strength of naturally polluted insulators) Because relatively few insulators with natural contamination are normally available from service, it would be time consuming to use the standard ‘up-and-down’ testing procedure to obtain flashover voltage. The rapid clean fog test method can then be used instead with the advantage that it is directly applicable to both naturally and artificially polluted insulators

Photo: INMR ©

The insulator is tested by consecutive application of voltage until the minimum withstand voltage of the U-shaped curve is obtained. Flashover levels generally decrease before resistance of the insulator starts to increase due to the washing effect. The minimum voltage level obtained is then considered to represent U50%. As a result, only one test is required per insulator, level of pollution and degree of hydrophobicity. Glass disc insulator from Skagerrak DC line.

2. Hydrophobicity Transfer (localized ESDD) Hydrophobicity transfer (HT) is a measure of a material’s ability to recover hydrophobicity. This process is due to diffusion of low molecular weight species (LMW) in the silicone rubber bulk material through the pollution layer to the surface. These then encapsulate any pollution particles, including salt. Even if the polluted surface appears hydrophilic, part of the pollution layer is penetrated by LMW silicones and effective resistance increases. HT is defined as: HT = ESDD – ASDD ESDD

where ASDD is Apparent Salt Deposit Density (or localized

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ESDD). Both ESDD and ASDD are measured with a small cell filled with deionized water where the bottom is the surface of the polluted insulator. ASDD is measured initially as current through the cell when the encapsulated pollution has not yet dissolved. After 5 minutes, or when current has stabilized, the bottom surface of the cell is scraped with a glass rod to set any encapsulated pollution free. This is then the measure of ESDD. This parameter provides a good indication of the ability of a composite insulator to recover under different environments. A compilation of HT values and their spread for different AC and DC silicone insulators is presented in Figure 2 (high HT is considered > 0.5).

This method is included in CIGRE Brochure 481 (issued in December 2011) and was successfully applied at STRI for testing: • AC porcelain support insulators with industrial pollution; • DC glass cap & pin insulators with light inland pollution; • DC composite insulators with light marine pollution; • DC composite insulators with light inland pollution; • AC composite circuit breaker housings with heavy industrial/ marine pollution. This method can be applied to create pollution performance curves to be used in the STRI IST program, as was done for insulators replaced from the Skagerrak and Cabora Bassa DC overhead lines. It can also be used to quantify the ability of a composite insulator

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Fig. 3: Examples of high level of repeatability for rapid clean fog test method for two different naturally polluted composite insulators.

to recover hydrophobicity. Such methods are presently under review by a new CIGRE working group D1.44 ‘Testing of naturally polluted insulators’. The test’s excellent repeatability is illustrated by the results from two different naturally polluted insulators (see Figure 3).

Summary Recently issued IEC 60815-1 requires accurate site severity evaluation performed over a minimum period of one year to identify the maximum stress level and corresponding site pollution severity (SPS) class. Such a process can then be defined as pollution monitoring and is the starting point

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in the process of selecting and dimensioning outdoor insulators for service in polluted areas. Although a software program called the Insulator Selection Tool follows the dimensioning process of IEC 60815 and has been verified against experience from the field, accurate pollution input data for this program is crucial. Among the latest trends in pollution monitoring to generate such inputs are: • Expanded application of simple, robust and reliable devices (e.g. dust deposit gauges and singlechannel leakage current sensors);

• Novel as yet not standardized methods that take into account specific features of insulators (e.g. hydrophobicity transfer / localized ESDD in the case of composite insulators); • ‘Smart’ (time and cost-effective) methods to obtain flashover voltage of naturally polluted insulators, e.g. when only a few test objects are available (rapid procedures). These will be standardized in the future’ • Further development of specialized software programs for ultimate application by power companies (e.g. combining technical and economic issues in one program). 

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