Technical economic feasibility study on Live Line maintenance on Hungarian transmission network

Bertalan, Zs.; Kiss, József; Tamus, Zoltán Ádám

doi:10.1109/icolim.2014.6934349

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Reliability analyses calculated following parameter to compare maintenance are downtime, repair time, average failure rate, available time, repair rate, mean time between failure and mean time to repair. Financial assessment of various technologies tells that in spite of penalties for de-energizing, revenue loss due to outages may be the main factor for development for line maintenance of transmission networks under live condition [6], [27], [28].…”

Section: Resultsmentioning

confidence: 99%

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Application of artificial intelligence in early fault detection of transmission line-a case study in India

Mawle

Dhomane

Burade

2022

IJECE

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<span lang="EN-US">Reliable energy is ensured by the power quality, safety and security. For reliability and economic growth of transmission utilities, it is necessary to maintain continuity of supply, which is challenging under deregulated system. It is essential for utilities to conduct regular maintenance of transmission lines before supply interrupts. To protect line from fault, it is necessary to detect fault on line, its classification and location at the earliest. Various smart techniques along with application of artificial intelligence (AI) in power system are under investigation. This paper tries to find solution by identifying practical common faults occurred on transmission lines, and also suggests the suitable maintenance methodology. It uses the artificial neural network (ANN) method and live line maintenance technique (LLMT) for pre identification of a fault and subsequent predictive maintenance. Paper compares results of combination of ANN with LLMT and cold line maintenance technique (CLMT). Comparison of statistical analysis shows combine model of ANN and LLMT results in minimize outage time, failure rate which can improve system availability and increases revenue.</span>

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Section: Resultsmentioning

confidence: 99%

“…Percentage (%) improvement in average failure rate was 13.86%. The economic analysis of live line maintenance (LLMT) with data of CLMT shows live line maintenance was more economical and opens new opportunity for improvement [26]- [28].…”

Section: The Reduction In Total Outage Time and Average Failure Ratementioning

confidence: 99%

Application of artificial intelligence in early fault detection of transmission line-a case study in India

Mawle

Dhomane

Burade

2022

IJECE

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show abstract

EHVAC transmission lines maintenance techniques in Indian perspective — A review

Mawle

Dhomane

Burade

2016

2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC)

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Technical economic feasibility study on Live Line maintenance on Hungarian transmission network

Cited by 2 publications

References 6 publications

Application of artificial intelligence in early fault detection of transmission line-a case study in India

Application of artificial intelligence in early fault detection of transmission line-a case study in India

EHVAC transmission lines maintenance techniques in Indian perspective — A review

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