Assessment The Overall Health Condition of Transformer Using Health Index and Critical Index Approach: TNB Grid Case Study

Aman, Tajul Ariffin; Mokhtar, Ahmad Safawi; AizamTalib, Mohd

doi:10.1109/pecon48942.2020.9314483

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…As a result, a novel method to implement the consensus for multiple experts in transformer assessment index weighting factor de-termination based on the analytic hierarchy process was proposed. Aman et al in [17] proposed a novel method for assessing the overall health condition of the transformer. A combination of the health index and the criticality index was used to prioritize the strategic decisions on the transformer.…”

Section: Introductionmentioning

confidence: 99%

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

Kunicki,

Borucki,

Fulneček

2023

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

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

Kunicki,

Borucki,

Fulneček

2023

Sensors

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“…The decision-making process based on the HI calculation for transformer population is usually based on technical parameters [11][12][13]. Understanding the asset risk and increasing confidence in the actual condition of the transformer enables the asset manager to maximise the return on the transformer asset by ensuring high reliability, reduce life cycle costs and optimised overall performance [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Development of Power Transformer Health Index Assessment Using Feedforward Neural Network

Aziz

Talib²,

Abidin

et al. 2023

ARASET

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The role of a power transformer is to convert the electrical power level and send it to the consumer, making it an essential component of a power system. In addition, transformer asset management is essential for monitoring the functioning of transformers in the system to prevent failure and anticipating the health state of transformers, using a technique known as the health index (HI). However, the calculation and computation to determine the transformer HI based on a scoring and ranking technique is complex and required expert validation. Therefore, this paper presents a transformer HI prediction using a feedforward neural network (FFNN) to improve the existing complex scoring and ranking technique. Levenberg–Marquardt (LM), Bayesian Regularized (BR), and Scaled Conjugate Gradient (SCG) are the FFNN training techniques presented in this study to forecast the transformer HI. To validate the techniques, the HI values generated by different FFNN techniques were compared to the scoring and ranking system. Then, the performance of the proposed ANN was evaluated using the correlation coefficient and mean square error (MSE). As a result, the transformer HI was successfully predicted by employing three FFNN techniques, namely the LM, BR, and SCG techniques, which were able to determine whether the transformer's condition is very good, good, fair, or poor. In conclusion, the ANN suggested in this study has also been validated with the ranking and scoring approach, which provides high similarity score in comparison to the transformer health index.

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“…In [9], three methods of Dissolved Gas Analysis were proposed to evaluate the power transformer health and experiments were presented on 50 MVA transformers. The authors of [14] used 19 diagnostic indicators and 4-years historical data from 1256 132 kV-transmission transformers and 3 single-phase 500 kV transformers in Malaysia to evaluate the tested transformers' condition. In [15,16], a method was proposed to assess the transformer states based on the health indices regression line, which is plotted from health index data analysis of power transformers' population.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Online Health Assessment System for Oil-Immersed Service Transformers Using Real-Time Grid Energy Monitoring

et al. 2022

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In this paper, we present a low-cost health assessment system for oil-immersed service transformers using a monitoring device to measure energy in real time. By assessing the important level of transformer components, three indicators, top oil temperature, vibration, and transformer load, were selected as main indicators to investigate the service transformer’s condition. An evaluation system using Fuzzy logic method is also presented in the paper to support monitor transformer health without adding the extra cost of installing expensive sensors. Different testing scenarios with different case studies were carried out on a simulated 50 kVA oil-immersed service transformer to express the feasibility and effectiveness of this low-cost, fast response health assessment system.

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Assessment The Overall Health Condition of Transformer Using Health Index and Critical Index Approach: TNB Grid Case Study

Cited by 6 publications

References 9 publications

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

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

Development of Power Transformer Health Index Assessment Using Feedforward Neural Network

A Low-Cost Online Health Assessment System for Oil-Immersed Service Transformers Using Real-Time Grid Energy Monitoring

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