An Approach to Assess the 500 kV Insulator String Condition Using Ultraviolet Imager
The condition of each cup-and-pin insulator that forms a string must be considered in order to obtain effective guidance for contamination flashover mitigation. This paper describes an approach to assess the string condition based on the ultraviolet (UV) emitted by each cup-and-pin insulator during...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Online Access: | https://repository.ugm.ac.id/278655/1/Dewanto_TK.pdf |
| _version_ | 1797037323982995456 |
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| author | Dewanto, Faiq Arkan Khakim, Adityadika Miftakhul Tumiran, Tumiran Wahyudi, Mochammad Setiawan, Noor Akhmad Saputra, Dharma |
| author_facet | Dewanto, Faiq Arkan Khakim, Adityadika Miftakhul Tumiran, Tumiran Wahyudi, Mochammad Setiawan, Noor Akhmad Saputra, Dharma |
| author_sort | Dewanto, Faiq Arkan |
| collection | UGM |
| description | The condition of each cup-and-pin insulator that forms a string must be considered in order to obtain effective guidance for contamination flashover mitigation. This paper describes an approach to assess the string condition based on the ultraviolet (UV) emitted by each cup-and-pin
insulator during partial discharge condition. The UV patterns on the string were observed visually in the laboratory test. The criteria of string condition level was built based on the patterns and applied to the strings installed in the field. The index value expressing the string condition level in the field (level status) was then compared with the UV quantitative parameter extracted from the UV video. At the final stage, a logarithmic regression classification model was built based on these two values. The laboratory test results showed that there were three levels of string condition, namely level one (safest), level two, and level three (most dangerous). Most strings in the field had category level two, while most strings with level three were of the suspension type. The UV emission area
parameters expressed in pixels and percentages were able to represent the sporadic nature of the discharge phenomenon. The proposed approach provided a predictive model with a mean absolute error of 0.182. |
| first_indexed | 2024-03-14T00:01:44Z |
| format | Article |
| id | oai:generic.eprints.org:278655 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:01:44Z |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2786552023-11-02T01:17:31Z https://repository.ugm.ac.id/278655/ An Approach to Assess the 500 kV Insulator String Condition Using Ultraviolet Imager Dewanto, Faiq Arkan Khakim, Adityadika Miftakhul Tumiran, Tumiran Wahyudi, Mochammad Setiawan, Noor Akhmad Saputra, Dharma Electrical and Electronic Engineering The condition of each cup-and-pin insulator that forms a string must be considered in order to obtain effective guidance for contamination flashover mitigation. This paper describes an approach to assess the string condition based on the ultraviolet (UV) emitted by each cup-and-pin insulator during partial discharge condition. The UV patterns on the string were observed visually in the laboratory test. The criteria of string condition level was built based on the patterns and applied to the strings installed in the field. The index value expressing the string condition level in the field (level status) was then compared with the UV quantitative parameter extracted from the UV video. At the final stage, a logarithmic regression classification model was built based on these two values. The laboratory test results showed that there were three levels of string condition, namely level one (safest), level two, and level three (most dangerous). Most strings in the field had category level two, while most strings with level three were of the suspension type. The UV emission area parameters expressed in pixels and percentages were able to represent the sporadic nature of the discharge phenomenon. The proposed approach provided a predictive model with a mean absolute error of 0.182. MDPI 2022-11-25 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/278655/1/Dewanto_TK.pdf Dewanto, Faiq Arkan and Khakim, Adityadika Miftakhul and Tumiran, Tumiran and Wahyudi, Mochammad and Setiawan, Noor Akhmad and Saputra, Dharma (2022) An Approach to Assess the 500 kV Insulator String Condition Using Ultraviolet Imager. Appl. Sci., 2022 (12). pp. 1-13. ISSN 2076-3417 https://www.mdpi.com/journal/applsci https://doi.org/10.3390/app122312054 |
| spellingShingle | Electrical and Electronic Engineering Dewanto, Faiq Arkan Khakim, Adityadika Miftakhul Tumiran, Tumiran Wahyudi, Mochammad Setiawan, Noor Akhmad Saputra, Dharma An Approach to Assess the 500 kV Insulator String Condition Using Ultraviolet Imager |
| title | An Approach to Assess the 500 kV Insulator String Condition
Using Ultraviolet Imager |
| title_full | An Approach to Assess the 500 kV Insulator String Condition
Using Ultraviolet Imager |
| title_fullStr | An Approach to Assess the 500 kV Insulator String Condition
Using Ultraviolet Imager |
| title_full_unstemmed | An Approach to Assess the 500 kV Insulator String Condition
Using Ultraviolet Imager |
| title_short | An Approach to Assess the 500 kV Insulator String Condition
Using Ultraviolet Imager |
| title_sort | approach to assess the 500 kv insulator string condition using ultraviolet imager |
| topic | Electrical and Electronic Engineering |
| url | https://repository.ugm.ac.id/278655/1/Dewanto_TK.pdf |
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