An approach to power transformer asset management using health index

2009 ◽  
Vol 25 (2) ◽  
pp. 20-34 ◽  
Author(s):  
A. Jahromi ◽  
R. Piercy ◽  
S. Cress ◽  
J. Service ◽  
Wang Fan
Keyword(s):  
Asset Management ◽  
Power Transformer ◽  
Health Index

scholarly journals Multiparameter-Based Fuzzy Logic Health Index Assessment for Oil-Immersed Power Transformers

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Edwell Tafara Mharakurwa ◽  
Rutendo Goboza
Keyword(s):  
Fuzzy Logic ◽  
Asset Management ◽  
Power Transformer ◽  
Carbon Oxide ◽  
Degree Of Polymerization ◽  
Health Index ◽  
Estimation Model ◽  
Inference System ◽  
Index Model ◽  
Power Utilities

The health index scheme can be the most fundamental tool that unifies all transformer condition status information into a singular outcome, thereby enhancing the power transformer asset management and life longevity strategies. This study aims at establishing a multiple parameter-dependent transformer health index estimation model cascaded with a fuzzy logic inference system. This strategy is centered on the effect of dynamic loading regime, varying hotspot temperatures and multiple attesting results of the insulation system. Furthermore, a nonintrusive degree of polymerization (DP) model based on furans and carbon oxide ratios as DP pointers is also factored in developing the health index model. The general outcome of the health index depends on entirely considered elements, but not on any isolated attribute. Data obtained from in-service transformers were used to validate the proposed model. The outcome of the model mirrors the practical condition of the evaluated transformers. Therefore, the proposed health index model can be a vital tool to asset managers and power utilities.

scholarly journals The Analysis of Power Transformer Population Working in Different Operating Conditions with the Use of Health Index

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5213
Author(s):  
Patryk Bohatyrewicz ◽  
Andrzej Mrozik
Keyword(s):  
Asset Management ◽  
Power Transformer ◽  
Technical Condition ◽  
Mean Value ◽  
Gas Analysis ◽  
Operating Conditions ◽  
Health Index ◽  
Index Method ◽  
The Individual ◽  
Technical Assessment

The management of the power transformer population is a complex process, as the grid companies operate thousands of devices. For this issue, the health index method can be applied to facilitate asset management. The algorithm can be used not only in the technical assessment of the individual units, but also to determine the relationships within the whole population. In this paper, the presented health index method consists of periodic oil diagnostics, including the physicochemical properties, dissolved gas analysis, and furfural content, and further assessment in terms of the criticality of the device to determine the technical condition. The algorithm was specifically designed to reflect even the smallest changes of the input parameters in the final score. The performance of the health index was tested on 620 oil analyses from 220 transformers divided into four subpopulations based on the service conditions. The results have proven to be largely dependent on the criticality level and the operating conditions of the device. The analysis of the study group has shown the influence of corrective maintenance on the mean value of the health index score.

scholarly journals Power transformer health index estimation using evidential reasoning

2020 ◽  
Vol 33 (4) ◽  
pp. 571-581
Author(s):  
Srdjan Milosavljevic ◽  
Aleksandar Janjic
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Transformer ◽  
Real Data ◽  
Condition Assessment ◽  
Evidential Reasoning ◽  
Health Index ◽  
Power Distribution System ◽  
Index Value ◽  
Shafer Theory

Market-oriented power distribution system requires a well-planned budget with scheduled preventive and corrective maintenance during a replacement of units that are in an unsatisfactory condition. In recent years, the concept of the transformer health index as an integral part of resource management was adopted for the condition assessment and ranking of ETs. However, because of the lack of regular measurement and inspections, the confidence in health index value is greatly reduced. The paper proposes a novel methodology for the ET condition assessment and the lifetime increase through the establishment of priorities for control and maintenance. The solution is based on the upgraded health index, where the confidence to the measurement results is calculated using Evidential reasoning algorithm based on Dempster - Shafer theory. A novel, two - level hierarchical model of ET health index is proposed, with real weighting factors values. This way, the methodology for ET ranking includes the value of available information to describe ET current state. The proposed methodology is tested on real data of an installed ET and compared with the traditional health index calculation.

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