Investigation on the Relationship between Failure Rates and Health Index of Distribution Transformer Population

Shariffuddin, Nor Shafiqin; Azis, Norhafiz; Selva, Amran Mohd; Yahaya, Muhammad Sharil; Jasni, Jasronita; Talib, Mohd Aizam

doi:10.1109/icpadm49635.2021.9493977

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…DB approaches are developed using analytic methods based on specific measured data of DT parameters, usually recommended by IEEE and IEC standards, the Common Network Asset Indices Methodology (CNAIM) [109], or specific procedures proposed by researchers [94]. In such cases, the HI is calculated as the weighted sum of DT condition influencing factors, which are scored with weights according to importance [101]. Usually, estimation of weights is based on expert knowledge.…”

Section: Indices For Condition Assessment Of Dtmentioning

confidence: 99%

Condition Assessment of Medium Voltage Assets: A Review

Mesino,

Caicedo,

Mamaní

et al. 2023

Adv. sci. technol. eng. syst. j.

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Condition assessment of medium voltage assets is essential to ensure reliability and costeffective operation of power distribution networks. This article presents a literature review of condition assessment of medium voltage assets related to a distribution system in a noninterconnected zone in Colombia, namely, power transformers, photovoltaic systems, switchgear, lines and cables, and instrument transformers. Advanced search rules are formulated to obtain bibliographic records of relevant academic literature from the database Scopus. The retrieved data are analyzed quantitatively to provide insights on the current state of research on the topic. Next, the most relevant academic papers for each medium voltage asset are selected and analyzed in a critical review along with more diverse literature including standards, technical reports, and white papers obtained through complementary searches. The results of the review show that several approaches have been formulated for condition assessment of medium voltage assets, ranging from traditional diagnostic methods to advanced artificial intelligence-based approaches. Moreover, research on some assets is already mature including power transformers, and photovoltaic systems, whereas other assets have been incipiently studied such as distribution and instrument transformers. Therefore, the need for deeper condition assessment research for these critical assets is highlighted. Research gaps are identified in the standardization and integration of condition assessment tools for distribution system operators.

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Section: Indices For Condition Assessment Of Dtmentioning

confidence: 99%

Condition Assessment of Medium Voltage Assets: A Review

Mesino,

Caicedo,

Mamaní

et al. 2023

Adv. sci. technol. eng. syst. j.

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“…2, for a DT that is scrapped due to aging failures (e.g., unit 1), its technical lifetime can be directly set equal to its scrapping age. In practice situations, however, most aged DTs are scrapped due to preventive management [20]. In this case, the technical lifetime of a preventively scrapped DT (e.g., unit 2) will be longer than its recorded scrapping age.…”

Section: Aging Failure Data Restorationmentioning

confidence: 99%

“…Because of the significant population of DTs on feeders, it is almost impossible to equip all DTs with the advanced sensors for collecting the diagnostic data associated with the aging degree, such as oil chromatographic, dielectric loss, partial discharge, and frequency response data [13][14][15]. In other words, it is difficult to apply the data-intensive methods, including Proportional Hazards Models [16,17], Hidden Markov Models [18], and Health Index (HI) based Models [19,20], for the AFR evaluation of individual DTs due to their population.…”

Section: Introductionmentioning

confidence: 99%

System design optimization with mixed subsystems failure dependencies

Mellal

Zio

Al‐Dahidi

et al. 2023

Reliability Engineering & System Safety

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“…Time-based maintenance is among the common approach that utilities have utilized. Nowadays, several utilities have started to adopt condition-based maintenance to optimize the overall investments and, at the same time, maintain the safe and reliable operation of transformers (Shariffuddin et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Transformer Population Failure Rate State Distribution, Maintenance Cost and Preventive Frequency Study Based on Markov Model

Shariffuddin¹,

Azis²,

Jasni³

et al. 2022

JST

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This work investigates the state distributions of failure rate, performance curve, maintenance cost and preventive frequency of the transformer population through the Markov Model (MM). The condition parameters data of the oil samples known as Oil Quality Analysis (OQA), Dissolved Gas Analysis (DGA), Furanic Compounds Analysis (FCA) and age were analyzed from 370 distribution transformers. This work utilized the computed failure rate prediction model of the transformer population based on MM using the nonlinear minimization technique. First, the transition probabilities for each state were adjusted based on pre-determined maintenance repair rates of 10%, 20%, and 30%. Next, the failure rate state distributions and performance curves at various states were analyzed. Finally, the maintenance costs and preventive maintenance frequency were estimated utilizing the proposed maintenance policy models and the failure rate state probabilities. The result reveals that the transition from state 2 to state 1 with a 30% pre-determined maintenance repair rate can provide an average reduction of failure rate up to 11%. Based on the failure rate state probability, an average increment of maintenance cost from RM 18.32 million to RM 251.87 million will be incurred over 30 years. In total, 85% of the transformer population must undergo maintenance every nine months to avoid reaching very poor conditions.

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Investigation on the Relationship between Failure Rates and Health Index of Distribution Transformer Population

Cited by 3 publications

References 9 publications

Condition Assessment of Medium Voltage Assets: A Review

Condition Assessment of Medium Voltage Assets: A Review

System design optimization with mixed subsystems failure dependencies

Transformer Population Failure Rate State Distribution, Maintenance Cost and Preventive Frequency Study Based on Markov Model

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