U.S. and Thai utilities partner to address transformer health

Fehr, Ralph; Steele, Carolyn

doi:10.1109/pesgm.2015.7286567

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…In this kind of approach, each type of condition data is firstly converted to a score according to the relevant standards (e.g., IEEE/IEC or CIGRE). Then, a weight indicating its significance to the health condition of the entire transformer is assigned on the basis of experts' experience or the relevance to standard codes, or a combination of both [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. Finally, a summation of all of these weighted scores is performed, which provides the health index of the transformer of interest.…”

Section: Type-i Health Indexmentioning

confidence: 99%

“…Recent efforts by Kinectrics [16][17][18], US and Thai utilities [19], Hydro-Québec [20,21], Wuhan University [22], University of Cambria [23], Ann University [24], as well as other utilities and research institutes can be classified as belonging to this type of health index [25][26][27][28][29]. A schematic for realizing the so-called Type-I health index is presented in Figure 2.…”

Section: Type-i Health Indexmentioning

confidence: 99%

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Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment

Cui

et al. 2023

Electronics

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As a critical indicator for assessing the survivability and condition of transformers in a fleet, the transformer health index has attracted attention from both asset owners and international organizations like CIGRE and IEEE DEIS/PES. To provide a systematic and comprehensive review for further study or to guide transformer asset management, this paper summarizes the state-of-the-art of the transformer health index, from the early proposed weighted-score-sum approaches to the more recently proposed artificial intelligence algorithm-based methods. Firstly, different methods for determining the transformer health index are reviewed. Each of these is specified as belonging to a certain type on the basis of its formulation and composition schematic. Subsequently, the steps to determine each type of health index are summarized, and examples derived from literature are provided for further illustration. Comparisons are finally carried out in order to better understand the pros and cons of different types of transformer health index, and the future development trends for transformer health indexes are also discussed. This work can serve as a valuable reference for the survivability and condition assessment of transformers in the power industry.

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