Transformer Bushing Risk Mitigation: Experience in South-East Asia (Part 1 of 2)

Bushings

Several years ago, utilities in Southeast Asia embarked on a bushing reliability survey and formulated mitigation measures to improve bushing performance. 

Part 1 of this edited 2017 contribution to INMR by S. Gobi Kannan, Chitapon Jedwanna and Henny Ika, respectively at Tenaga Nasional Berhad (TNB) in Malaysia, the Electricity Generating Authority of Thailand (EGAT) and Perusahaan Listrik Negara (PLN) in Indonesia, summarized failure and root cause at each participating utility between 2001 and 2015. Different practices among members were discussed with a view to improving bushing selection, specification, design, condition assessment, storage and handling. Part 2 of the contribution will appear in the INMR WEEKLY TECHNICAL REVIEW of March 22, 2021.


The ASEAN Utilities Maintenance Committee (JMCC), formed in 2002, comprises major transmission utilities in the region, including TNB Malaysia, PLN Indonesia and EGAT of Thailand. These utilities supply approximately 60% of energy demand in the region based on the APEC Energy Demand and Supply Outlook. As of 2016, their installed fleet consisted of 3,367 transformers up to 500 kV with total installed capacity of 292,760 MVA. Together, these networks consisted of over 96,700 circuit-km of overhead lines and cables.

Fig. 1: Locations of ASEAN utilities.
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Fig. 2: ASEAN Transformer Bushing Guide.
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Since failures of high voltage bushings have had significant impact on system reliability and safety, these ASEAN utilities embarked on a joint bushing reliability survey with the goal of formulating suitable measures to improve bushing performance. One outcome of this work was publication of the first ASEAN Transformer Bushing Guide T.2 (2015), containing a compilation of past problems, lessons learned, best practices among members and risk mitigation measures.

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Failure Statistics

Statistics illustrating major failures of power transformers in the system of JMCC members from 2001 to late 2014 concluded that approximately 23% (or 48 of all failures) were due to bushing failure. For purposes of standardization, failure in the survey was defined as an event that involves key components of the transformer that require major repair/replacement or of the transformer itself.

Fig. 4 presents statistics on total bushing failures and fire events since 2001. Based on these incidents, it became apparent that failure of bushings within member utilities was an increasing trend initially but then plateaued into 2015. This contributed to an average of 3.5 failures/year with a 75% fire rate among all bushing failures. No failures of RIP bushings were recorded during the survey period and improvements realized over latest 3-year period were likely due to proactive measures among utilities to mitigate increased incidence of failures.

Fig. 3: Transformer failures involving major components by utility: 2001 to Sept 2014.
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Fig. 4: Failure and fire rates: 2001-2015.
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Weibull distribution analysis for TNB, EGAT and PLN bushing failures indicates that overall life of bushing prior to failure at the 95% confidence level was predicted to be about 15.3 years on average. Fig. 5 summarizes lifetime in years for the respective utilities, with EGAT recording highest service life record with an average of 18.97 years.

Fig. 5: Weibull distribution analysis of bushing failures: 2001 to Sept 2014.
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Table 1 summarizes failure events and possible root causes, as recorded during the bushing reliability survey by EGAT-TNB-PLN from 2001 to Sept 2014. The Working Group did not perform detailed analysis of these reported root causes and simply assumed information from members was sufficiently accurate.

Table 1: Summary of Probable Root Cause of Bushing Failures: 2001-2014. CLICK TO ENLARGE

Based on the above (i.e. Table 1 and Fig. 5), it was concluded that the high numbers of failures reported were related to insulation issues that contributed to almost 27% of all failures. However this percentage was expected to be larger since a significant share (37.5%) of the root causes of failures was reported to be ‘unknown’. The reason they were so classified can be explained by the fact that no detailed teardown analyses were conducted. Moreover, some failure incidents saw the damage to components so catastrophic that there was no possibility for analysis in the field.

Fig. 5: Root cause classification of bushing failures: 2001 to 2014.
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Survey of Maintenance Practices

During the survey period, it was observed that utility members have some off-line and/or on-line diagnostic techniques in place in their systems to monitor bushing health. As such, the Working Group compiled these different practices in order to simplify formulation of best practices and optimum intervals for each type of maintenance activity. Table 2 summarizes the different diagnostic techniques among member utilities and shows that these vary widely depending on whether the bushings are alone or installed together and also by their application.

Table 2: Summary of Diagnostic Techniques Practiced
Note: R= Routine, I = Investigative, N = Not widely practiced /under study or research Note: Interval of testing is only stated if the test is performed as routine.
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Based on this survey, in spite of variation in strategies and techniques, the most common techniques to assess condition of a bushing involved using dissipation factor (DF)/power factor (PF) and capacitance measurement. Test results were then compared in each case to nameplate values or findings from previous tests. Increases or decreases from reference values are usually an indication of contamination and/or deterioration in the insulation system. Limits for maximum permissible change tend to be manufacturer and type related and this Guide also suggests interpretation limits based on population statistics (shared among participating utilities, as shown in the section below).

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The basic design of an OIP and a RIP bushing is the same. However, there are some specific differences resulting in different ageing parameters. In the case of an OIP bushing, for example, increase in power factor is a well-known ageing parameter. In addition, dissolved gas analysis (DGA) might give information about operational reliability. Any increase in capacitance, C1, indicates a partial breakdown. However, the first partial breakdown could be followed directly by complete breakdown of the insulation, resulting in catastrophic failure. Therefore, C1 is not really an adequate ageing parameter. For an RIP bushing, any partial breakdown is limited to its location without interaction with the remaining condenser core. This is due to the fact that the condenser core is solid, in contrast to an OIP condenser core where generated gases and contaminated oil distribute to the whole core. RIP bushings do not contain oil and therefore no ageing of oil could occur. An increase in power factor is not caused by ageing directly but rather by humidity ingress that might weaken the insulation. This is usually not an issue for installed bushings but might occur from improper storage conditions. With suitable drying procedure, any humidity ingress into the condenser core can be removed.

For both bushing types, OIP and RIP, influence of stray capacitances should be taken into consideration if measured values are compared with routine test values. A fingerprint measurement taken after installation of the bushing in its final position is the best reference for further measurements.

Table 3: Influence of Measuring Parameters for OIP & RIP Bushings.
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Maintenance Guide Review

The histogram analysis in Fig. 6 was based on a total population of 4,517 measurement parameters for Power Factor. PF (C1) from the three member utilities revealed overall mean PF (C1) of approximately at 0.31% for OIP and 0.33% for RIP type bushings. But it should be noted that measurements from PLN had significant deviation from this average. Some data where PF>10% was not taken into account in this analysis since the values were assumed not realistic.

Fig. 6: Histogram analysis for bushing population measurement data at TNB, EGAT & PLN.
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Values at different percentiles based on the above histogram analysis (shown in Table 4 and Fig. 7) indicate that degradation rate increases at approximately the 92% percentile at absolute value 0.5%. This correlates well with IEEE limits and this gradient increases significantly at the 98% percentile value, approximately at 0.7%, which correlates well against IEC limits.

Table 4: PF (C1) at different percentile for OIP and RIP Bushing.
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With this conclusion in mind, member utilities agreed that 90% percentile be taken as a ‘good limit’ for bushings in service as well as new units. ‘Caution limits’ are within 95 to 98% limits. Beyond 98% limits, a bushing is deemed in poor condition and requires urgent attention to prevent failure. Utility members also deliberated and decided that a bushing’s absolute PF value is dependent on material and design. Thus, bushing assessment based on absolute values may not be a good indicator in all cases. It was also agreed that any significant change from initial commissioning or baseline value should raise concern and require urgent remedial action. This information was then used as the basis to review existing maintenance criteria practiced by utility member and to formulate standards for new, under warranty and in service conditions.

Fig. 7: PF(C1) at different percentile for OIP & RIP bushings.
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Table 5: Interpretation Guide (Commissioning (New).
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Table 6: Under Warranty (1 – 5 years).
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bushing reliability
Table 7 : In Service.
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