Application of Local Environmental Data to the Lightning Performance Assessment of the IECo Transmission-Line Network

Volpov, Evgeni; Linder, Rima

doi:10.1109/tpwrd.2017.2661721

Cited by 15 publications

(5 citation statements)

References 12 publications

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“…Regarding the tower structure, gantry towers have a strong positive correlation. In [24], it has been shown that different tower shapes may have a certain influence on SSFR and BFR performances of transmission lines.…”

Section: Case Studymentioning

confidence: 99%

Lightning risk assessment model for transmission lines with lift‐based improved analytic hierarchy process

Zheng

Shu

et al. 2021

IET Generation Trans & Dist

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This paper proposes a new assessment method for lightning trip-out of transmission lines that includes an improved analytic hierarchy process (IAHP) algorithm based on a lift in association rules. First, the k-means clustering algorithm is used to discretize the geomorphic information along transmission lines, and ten feature factors are obtained. Next, by analysing the correlation between each feature factor and a lightning trip-out event using the lift algorithm, the strong correlation factors are extracted. On this basis, an IAHP algorithm optimized by lift is proposed to establish an objective judgment matrix. Then, multiple indexes are combined as a criterion layer of the IAHP, and a lightning risk assessment model of transmission lines is established. Finally, the proposed method is validated by simulations using 28 transmission lines with 220 kV voltage grade of a provincial power grid of China. An assessment model is established using the lightning trip-out data in the period 2010-2014, and then this model is employed to estimate the lightning trip-out risk in the period 2015-2018. Based on the number of phase faults, the agreement between the estimation results and the actual values is 76%. The proposed model provides a new method for the lightning risk assessment of transmission lines.

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Section: Case Studymentioning

confidence: 99%

Lightning risk assessment model for transmission lines with lift‐based improved analytic hierarchy process

Zheng

Shu

et al. 2021

IET Generation Trans & Dist

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show abstract

“…According to the study focused on a characteristic [10][11][12][13][14][15][16][17][18][19][20][21][22], lightning signals included return strikes, channel of current [10], upward lightning, potential lightning [11][12], velocity and etc. were considered.…”

Section: Introductionmentioning

confidence: 99%

“…were considered. Moreover, the result in research [15][16][17][18][19][20][21][22] found that environment around the transmission tower [16], transmission line modelling (TLM) methodology [17] and grounding of transmission tower [18][19] influence the lightning strike and thus the current, voltage, and waveform of a transient signal travelling through a conductor [21][22]. Thus, these was the key components of an algorithm which can accurately locate lightning strikes during transmission.…”

Section: Introductionmentioning

confidence: 99%

Identify Direct Lightning Strike Location Based on Discrete Wavelet Transform for 115-kV Transmission System

Chiradeja

Ngaopitakkul

2022

IEEE Access

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This paper proposes three techniques for locating lightning strikes in a 115 kV transmission system over 88.5 km, based on the arrival time of a transient wave obtained from a discrete wavelet transform (DWT). The first technique calculates the location based on the 'type D' travelling wave method. The second technique analyses the first arrival time and same reflected-back wave arrival time between two substations. In the third technique, two sensors are installed to record arrival times at each sensor. Case studies of direct lightning strikes to phase conductors (shielding failure) are simulated using the 'Alternative Transients Program/Electromagnetic Transients Program' (ATP/EMTP). The influences of three parameters are considered: inception angles, the phase of the conductor, and the position at which the lightning struck the transmission system. By performing an operation scheme for all techniques, a positive sequence current is calculated, using a three-phase current from the ATP/EMTP program which is converted using Clark's transform. A positive sequence current is extracted to several scales using the DWT, and the orders of arrival times for both substations are determined. After the arrival times are obtained, each technique uses a different order of arrival time for calculating the lightning location. By comparing the average error among the three techniques, it is shown that the arrival time of the two sensors' technique is less than that of the other techniques.

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“…The value of failure rate is an important index for the reliability evaluation of transmission lines in the power system. Therefore, it is very important to establish the prediction model of the failure rate for transmission lines [3].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive prediction method for failure rate of transmission line based on multi‐dimensional cloud model

Lei

Gong

2019

IET Generation, Transmission & Distribution

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Application of Local Environmental Data to the Lightning Performance Assessment of the IECo Transmission-Line Network

Cited by 15 publications

References 12 publications

Lightning risk assessment model for transmission lines with lift‐based improved analytic hierarchy process

Lightning risk assessment model for transmission lines with lift‐based improved analytic hierarchy process

Identify Direct Lightning Strike Location Based on Discrete Wavelet Transform for 115-kV Transmission System

Comprehensive prediction method for failure rate of transmission line based on multi‐dimensional cloud model

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