A Laboratory Study of the Effects of Wind on DC Corona

Khalifa, M.; Morris, Robert

doi:10.1109/tpas.1967.291955

Cited by 28 publications

(5 citation statements)

References 8 publications

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“…Generally, the FDM with the FMG solver predicts a significant rise in the value of the current density, and a closely persistent electric field on the ground plane when the wind speed increases and these results agreed qualitatively with the theoretical model of Takuma [9], and the previous experimental results [32][33][34].…”

Section: B Imposed Wind Results (W ≠0)supporting

confidence: 85%

Fast Corona Discharge Assessment Using FDM integrated With Full Multigrid Method in HVDC Transmission Lines Considering Wind Impact

et al. 2020

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Section: B Imposed Wind Results (W ≠0)supporting

confidence: 85%

Fast Corona Discharge Assessment Using FDM integrated With Full Multigrid Method in HVDC Transmission Lines Considering Wind Impact

et al. 2020

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“…Fortunately, stable wind could be produced and controlled in a wind tunnel. For example, by using a wind tunnel, corona losses from the reduced model of bipolar DC lines are investigated under transverse wind [20].…”

Section: Introductionmentioning

confidence: 99%

A Laboratory Study on the Ion-Flow Field Model of the DC Wires in Stable Wind

Zhen

Cui

et al. 2015

IEEE Trans. Power Delivery

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Although transverse wind exerts an important influence on the distribution of the ion current density under HVDC transmission lines, very few experiments involving stable wind have been used to verify the numerical model. To overcome the variability of natural wind, a low-speed wind tunnel was used to produce stable wind in this research. An experimental platform was set-up in the wind tunnel, to measure the ion current density of DC wires. Based on the experiment, transverse wind exerted significant influence over the distribution of the ion current. The numerical model was discussed and the results showed reasonable agreement with the measured values for different wind speeds.

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“…where K is Kalman gain matrix, P is error covariance matrix, Q k is covariance matrix of ϕ k , R k is covariance matrix of ϖ k . Φ k + 1, k , Γ k + 1, k and H k + 1 can be obtained by comparing (3), (4) and 1and (2) can be obtained. After determining the initial state, the recursive (5)-(8) can be used to calculate wind speed iteratively.…”

Section: State Equation Of General Linear Discrete Systems Ismentioning

confidence: 99%

“…This topic research dated back to twentieth century. The reduced-size bipolar test line [4,5], full size test line [6] and practical operation dc line [7] were used to study the wind effect on dc corona performance. The statistical measured data from different configurations help us understand the impact of wind on the behaviour of ion current environment.…”

Section: Introductionmentioning

confidence: 99%