Power Transformers Assessment Applying Health Index and Apparent Age Methods

Oliveira, Micael M.; Bender, Vitor C.; Marchesan, Tiago Bandeira; Kaminski, Antônio M.; Medeiros, Leonardo H.; Wilhelm, Helena Maria; Neto, Jose Batista Ferreira

doi:10.1109/tdla47668.2020.9326167

Cited by 3 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Time series analysis whose results are trend equations that can be used for forecasting [11]. The following is the linear regression equation used for forecasting transformer loads in this study as follows [12]:…”

Section: Regression Linear Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of Age Loss on 160 KVA Transformer PT. PLN ULP Kenjeran Surabaya using The Linear Regression Method

Widagdo,

Andriawan

2023

JRRE

View full text Add to dashboard Cite

Distribution transformer is one of the important equipment in the distribution of electricity to consumers. The electricity demand increases every year, so that the transformer works optimally, it must also be considered regarding the loading. According to IEC 354 if the transformer is loaded stable 80% with conditions around 20℃ and the winding temperature is 98℃, but if the ambient temperature is more than 20℃ then the age of the transformer will decrease. With an average loading of 71.75%, based on the calculation that the predicted useful age of the 160 KVA distribution transformer in 2027 will have an age loss index of 1.1 p.u, so it is estimated that the remaining age of the distribution transformer is 12 years and 7 months. Analysis using a statistical approach assisted by SPSS software was also carried out to see how much influence the loading has on the age loss of the transformer.

show abstract

Section: Regression Linear Methodsmentioning

confidence: 99%

“…Where, 𝑌 𝑡 = Loading at time t 𝑋 𝑡 = Time period t (day, week, month, year) 𝑎 = slope (slope) or changes in the value of Y over time 𝑏 = fixed value (constant) or the value of Yt at Xt equals zero To determine the constant values 𝑎 and 𝑏 as follows [12]:…”

Section: Regression Linear Methodsmentioning

confidence: 99%

Prediction of Age Loss on 160 KVA Transformer PT. PLN ULP Kenjeran Surabaya using The Linear Regression Method

Widagdo,

Andriawan

2023

JRRE

View full text Add to dashboard Cite

show abstract

“…The apparent age and aging condition of the transformer were then estimated using the proposed curve. The apparent age problem also appeared in [19], where a novel method for assessing the health index of transformers, considering the apparent age strategy, was proposed. The method used four input factors for the evaluation process (DGA, oil quality, bushings conditions, and equipment degradation).…”

Section: Introductionmentioning

confidence: 99%

Exploitation Perspective Index as a Support of the Management of the Transformer Fleet

Kunicki,

Borucki,

Fulneček

2023

Sensors

View full text Add to dashboard Cite

This paper presents an alternative approach to the Transformer Assessment Index (TAI) by proposing a relatively simple rating method called the Exploitation Perspective Index (EPI). The method provides two numerical indicators: the first reflects the overall technical condition of the particular unit, and the second shows the condition of the unit in the context of the entire fleet. The objective of the EPI method is to support the decision-making process regarding the technical condition assessment of each of the transformers in the target population, considering not only technical but also economic aspects of transformer maintenance. Application of the method is described step by step, including input data, parametrization of the weights, and interpretation of the output results it provides. The proposed method is evaluated by two representative use cases and compared with two other methods. As a result, EPI confirms its applicability, and it has already been successfully implemented by the electric power industry. EPI can be potentially freely adopted for any transformer fleet, as well as for the specific situation of the utility, by adjusting the relevant parameters.

show abstract

Artificial Neural Networks Application for Top Oil Temperature and Loss of Life Prediction in Power Transformers

Kaminski

Medeiros

Bender

et al. 2022

Electric Power Components and Systems

View full text Add to dashboard Cite

Power Transformers Assessment Applying Health Index and Apparent Age Methods

Cited by 3 publications

References 11 publications

Prediction of Age Loss on 160 KVA Transformer PT. PLN ULP Kenjeran Surabaya using The Linear Regression Method

Prediction of Age Loss on 160 KVA Transformer PT. PLN ULP Kenjeran Surabaya using The Linear Regression Method

Exploitation Perspective Index as a Support of the Management of the Transformer Fleet

Artificial Neural Networks Application for Top Oil Temperature and Loss of Life Prediction in Power Transformers

Contact Info

Product

Resources

About