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Prof. Samy Mohamed Ghania :: Publications:

Title:
Failure risk analysis under switching surges in power transmission systems
Authors: A.H. Hamzaa; Samy M. Ghaniaa; Ahmed M. Emamb; Ahmed S. Shafya
Year: 2019
Keywords: Insulation coordination; Insulation failure Risk analysis; Switching overvoltages; Transmission lines insulation
Journal: Electric Power Systems Research
Volume: Electric Power Systems Research 166 (2019) 190–198
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Samy Mohamed Ghania_1-risk analysis_2019.pdf
Supplementary materials Not Available
Abstract:

The insulation of the power transmission systems is exposed to stresses not only during normal operating but also by the transient overvoltages. Transient overvoltages are originated by different sources such as lightning, switching and faults. The switching surges have become dominant factor in the insulation design of Extra High Voltages and Ultra High Voltages systems. Insulation failure probability under transient surges is the main impressive concern in the studies of insulation coordination and failure risk. In this paper the failure risk of insulation under switching overvoltages generated during energization of unloaded transmission line are computed using the statistical approach. In the calculation, both the statistical characteristics of the overvoltages and statistical distribution of insulation flashover probabilities are tackled. The statistical distributions of energization overvoltages on a typical 500 kV transmission-line are derived from the results of 100 energization cases with statistical switching using Alternate Transient Program (ATP). The most important factors affecting the insulation flashover probabilities and the failure risk are demonstrated. The effects of number of towers in parallel, the switching overvoltages profile, the front time of the overvoltages waveform and the non-standard atmospheric conditions on the failure probability are investigated. Failure risk analysis is analyzed using different probability distribution schemes.

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