Health index based condition monitoring of distribution transformer

Jaiswal, Gajanan C.; Ballal, Makarand Sudhakar; Tutakne, D. R.

doi:10.1109/pedes.2016.7914222

Cited by 18 publications

(5 citation statements)

References 12 publications

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“…To overcome the above limitations, applications of the fuzzy logic method for transformer HI estimation were implemented in Refs. [69,70,[81][82][83][84][85][86][87][88][89][90][91]. These papers utilized the membership function to divide the condition data into different health levels.…”

Section: Fuzzy-logic-based Health Indexmentioning

confidence: 99%

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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Section: Fuzzy-logic-based Health Indexmentioning

confidence: 99%

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

Cui

et al. 2023

Electronics

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“…Because of high implementation costs of conventional DT condition assessment methods such as those based on DGA, FRA, and PD, novel advanced AI-based techniques have been developed. For instance, the DT-HI can be obtained using data mining [100], genetic algorithms [81], k-Nearest Neighbour (kNN) [104], Internet of Things (IoT) [105], and fuzzy logic [110].…”

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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“…The results show the estimation of the date in which the transformer may need a maintenance action, and the required actions to extend the transformer lifetime. Paper [39] uses a fuzzy knowledge-based expert system to assess the transformer's health. All the parameters can be analyzed individually.…”

Section: Fuzzy Logicmentioning

confidence: 99%

A Review of Health Assessment Techniques for Distribution Transformers in Smart Distribution Grids

et al. 2020

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Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. This paper will review the literature in the area, analyze the latest techniques as well as highlight the advantages and disadvantages of current methodologies.

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Health index based condition monitoring of distribution transformer

Cited by 18 publications

References 12 publications

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

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

Condition Assessment of Medium Voltage Assets: A Review

A Review of Health Assessment Techniques for Distribution Transformers in Smart Distribution Grids

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