Condition Assessment of Transformer Health by using Intelligent Technique

Prasant Kumar Samal; Veena Sharma; Rajesh Kumar

doi:10.1109/icdcece53908.2022.9793045

Condition Assessment of Transformer Health by using Intelligent Technique

Prasant Kumar Samal, Veena Sharma, Rajesh Kumar

National Institute of Technology Hamirpur

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The condition of Transformer insulation can be effectively calculated by using the concept of health index. The overall health of transformer can be determined by performing different diagnostic test in the transformer's insulation. The outcome of these tests is used to assess the health and for the estimation of remaining life of transformer. This shows that, the deterioration of transformer insulation takes place with the assistance of several transformer parameters. In this paper, different parameters such as Degree of Polymerization (DOP), Dissolved Gas Analysis (DGA), Insulation Resistance (IR), Dissipation Factor (DF), Frequency Response Analysis (FRA), Breakdown Voltage (BDV), Power Factor (PF), Moisture and Hotspot Temperature are used to develop Fuzzy model and Adaptive neuro fuzzy model for analyzing respective critical conditions of the transformer. The above-mentioned parameters are integrated into one by using Fuzzy logic in Fuzzy Inference System (FIS) and the same is done in case of Adaptive Neuro Fuzzy Logic in Adaptive Neuro Fuzzy Inference System (ANFIS) in MATLAB and it will decide the overall criticality of transformer insulation from which the overall Health index (HI) of Transformer can be found out. These two models give the provision to evaluate the condition of insulation and its criticality level. After calculating the health index by both the models, the results of Fuzzy model and Adaptive neuro fuzzy model are observed and from the observation, it can be said that adaptive neuro fuzzy model has numerous advantages over fuzzy model.

Original language	English
Title of host publication	IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665483162
DOIs	https://doi.org/10.1109/icdcece53908.2022.9793045
State	Published - 2022
Externally published	Yes
Event	2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022 - Ballari, India Duration: 23 Apr 2022 → 24 Apr 2022

Publication series

Name	IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022

Conference

Conference	2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022
Country/Territory	India
City	Ballari
Period	23/04/22 → 24/04/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Adaptive Neuro Fuzzy Logic
Criticality
Fuzzy Logic
Health Index
Power Transforme

Access to Document

10.1109/icdcece53908.2022.9793045

Cite this

Samal, P. K., Sharma, V., & Kumar, R. (2022). Condition Assessment of Transformer Health by using Intelligent Technique. In IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022 (IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icdcece53908.2022.9793045

Samal, Prasant Kumar ; Sharma, Veena ; Kumar, Rajesh. / Condition Assessment of Transformer Health by using Intelligent Technique. IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022).

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abstract = "The condition of Transformer insulation can be effectively calculated by using the concept of health index. The overall health of transformer can be determined by performing different diagnostic test in the transformer's insulation. The outcome of these tests is used to assess the health and for the estimation of remaining life of transformer. This shows that, the deterioration of transformer insulation takes place with the assistance of several transformer parameters. In this paper, different parameters such as Degree of Polymerization (DOP), Dissolved Gas Analysis (DGA), Insulation Resistance (IR), Dissipation Factor (DF), Frequency Response Analysis (FRA), Breakdown Voltage (BDV), Power Factor (PF), Moisture and Hotspot Temperature are used to develop Fuzzy model and Adaptive neuro fuzzy model for analyzing respective critical conditions of the transformer. The above-mentioned parameters are integrated into one by using Fuzzy logic in Fuzzy Inference System (FIS) and the same is done in case of Adaptive Neuro Fuzzy Logic in Adaptive Neuro Fuzzy Inference System (ANFIS) in MATLAB and it will decide the overall criticality of transformer insulation from which the overall Health index (HI) of Transformer can be found out. These two models give the provision to evaluate the condition of insulation and its criticality level. After calculating the health index by both the models, the results of Fuzzy model and Adaptive neuro fuzzy model are observed and from the observation, it can be said that adaptive neuro fuzzy model has numerous advantages over fuzzy model.",

keywords = "Adaptive Neuro Fuzzy Logic, Criticality, Fuzzy Logic, Health Index, Power Transforme",

author = "Samal, {Prasant Kumar} and Veena Sharma and Rajesh Kumar",

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Samal, PK, Sharma, V & Kumar, R 2022, Condition Assessment of Transformer Health by using Intelligent Technique. in IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022. IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022, Ballari, India, 23/04/22. https://doi.org/10.1109/icdcece53908.2022.9793045

Condition Assessment of Transformer Health by using Intelligent Technique. / Samal, Prasant Kumar; Sharma, Veena; Kumar, Rajesh.
IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Samal PK, Sharma V, Kumar R. Condition Assessment of Transformer Health by using Intelligent Technique. In IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022). doi: 10.1109/icdcece53908.2022.9793045

Condition Assessment of Transformer Health by using Intelligent Technique

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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