Assessment of the Risk of Damage to 110 kV Overhead Lines Due to Wind

Chojnacki, A. Ł.

doi:10.3390/en14030556

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…Maintenance costs of the transmission line, including the replacement cost, adjusted maintenance cost, loss of selling cost and loss of penalty fee cost, were determined and subsequently used to multiply with the D-distance risk factor, as shown in ( 8) to (11), which revealed the actual maintenance cost based on actual risk. Finally, the total maintenance cost could be expressed as shown in (12).…”

Section: Cost Analysismentioning

confidence: 99%

“…By using ( 8) and ( 9), the replacement cost and maintenance cost of TL#1 at the age of 51 years, which were determined by multiplying the D-distance with its relevant cost, were equal to 2396.68 and 368.99 kTHB/km, respectively. Similarly, by using (10) and (11), the loss of sale and reputation cost were equal to 719.85 and 40.30 kTHB/km, respectively. Therefore, the total cost of this line is 3525.83 kTHB/km, which is nearly equal to the investment cost of a new overhead line-3508.28 kTHB/km.…”

Section: Cost Analysismentioning

confidence: 99%

“…Consequently, there is a concrete requirement to effectively assess HVTL conditions to manage the reparation, replacement, or renovation tasks of transmission lines as well as to manage operational risks to improve the system operating performance and reliability [5][6][7]. To reach this goal, different approaches were proposed to cope with the risk assessment of HVTLs and manage maintenance tasks [7][8][9][10][11][12]. In addition, some risk factors were also intensively investigated for condition assessment and risk management [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

Luejai

Suwanasri

2021

Sustainability

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In this paper, a D-distance risk factor was proposed to prioritize high-voltage transmission lines from high to low risk in transmission line maintenance and renovation management. Various conditions and importance assessment criteria together with the weighting and scoring method were proposed to calculate both the renovation and importance indices of transmission lines. The scores of different test methods and visual inspection were differentiated from zero to five as end-of-life to very good condition to evaluate the condition of the line and its components. Additionally, the scores of different importance criteria were modified to assess the line importance from low to high importance. Moreover, the analytic hierarchy process was applied to determine the important weight of all test methods and importance criteria, which were evaluated by utility experts. The renovation and importance indices were combined in a risk matrix to finally determine the risk of the line by using the D-distance technique. Later, the risk of every transmission line was plotted in a risk matrix to prioritize and manage maintenance tasks. Finally, a maintenance cost was analyzed by applying the D-distance risk factor and compared with the replacement cost of a new transmission line for maintenance planning and cost minimization. Twenty out of 115, 230 and 500 kV transmission lines fleet in Thailand were practically analyzed with actual data. The results were realistic to feasibly implement in a transmission system for sustainable management.

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Section: Cost Analysismentioning

confidence: 99%

Section: Cost Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

Luejai

Suwanasri

2021

Sustainability

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“…Pollution can reduce the insulating performance of power lines, triggering breakdown discharges. Corrosion can reduce the mechanical strength of power lines, affecting their service life [3][4][5][6][7]. These threats require us to take effective preventive and responsive measures.…”

Section: Introductionmentioning

confidence: 99%

Overhead Power Line Damage Detection: An Innovative Approach Using Enhanced YOLOv8

Wu,

Liao,

Chen

et al. 2024

Electronics

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This paper presents an enhanced version of YOLOv8 specifically designed for detecting damage in overhead power lines. Firstly, to improve the model’s robustness, an adaptive threshold mechanism is introduced that can dynamically adjust the detection threshold based on the brightness, contrast, and other characteristics of the input image. Secondly, a novel convolution method, GSConv, is adopted in the YOLOv8 framework, which balances the model’s running speed and accuracy. Finally, a lightweight network structure, Slim Neck, is introduced, effectively reducing the model’s complexity and computational load while maintaining good performance. These improvements enable our YOLOv8 model to achieve excellent performance in detecting ‘thunderbolt’ and ‘break’ types of cable damage. Experimental results show that the improved YOLOv8 network model has an average detection accuracy (mAP) of 90.2%, a recall rate of 91.6%, and a precision of 89.8% on the ‘Cable Damage Detection’ dataset from RoboFlow for ‘thunderbolt’. For ‘break’, the mAP is 86.5%, the recall rate is 84.1%, and the precision is 86.1%. Compared with the original YOLOv8 model, these indicators have been significantly improved, highlighting the high practical value and strong generalization ability of the proposed algorithm in detecting damage to overhead power lines. This also demonstrates the high practical value of the method in future research directions.

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“…Most electrical equipment forms an integral part of expansive scientific, technical, and industrial facilities. Electrical equipment's vulnerability to damage significantly impacts the functionality of numerous machines, technical equipment, plants, and industrial sectors [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Influence of Ambient Temperature on the Reliability of Overhead LV Power Lines with Bare Conductors

Banasik

2024

Energies

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The article presents a study on the influence of weather factors (ambient temperature) on the operational reliability of overhead low-voltage power lines with bare conductors. A method for determining the average failure intensity, average failure duration, average renewal intensity, and failure rate of overhead low-voltage power lines with bare conductors as a function of ambient temperature is presented. Based on many years of observations of power lines operated in electric power distribution networks in Poland, the empirical values of the above-mentioned reliability indicators were determined. An analysis of empirical distribution compliance with the assumed theoretical model was also carried out. The reliability studies conducted showed that the highest failure intensity of the considered power lines occurred at temperatures commonly found in Poland.

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Assessment of the Risk of Damage to 110 kV Overhead Lines Due to Wind

Cited by 8 publications

References 11 publications

D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

Overhead Power Line Damage Detection: An Innovative Approach Using Enhanced YOLOv8

Influence of Ambient Temperature on the Reliability of Overhead LV Power Lines with Bare Conductors

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