Hierarchical seismic vulnerability assessment of power transmission systems: sensitivity analysis of fragility curves and clustering algorithms

2017 ◽  
Vol 44 (2) ◽  
pp. 80-89
Author(s):  
Jessica Ana Marıa Buriticá ◽  
Mauricio Sanchez-Silva ◽  
Solomon Tesfamariam
Keyword(s):  
Sensitivity Analysis ◽  
Vulnerability Assessment ◽  
Seismic Vulnerability ◽  
Power Transmission ◽  
Fragility Curves ◽  
Clustering Algorithms ◽  
Transmission Systems ◽  
Seismic Vulnerability Assessment ◽  
Power Transmission Systems

scholarly journals Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2272 ◽  
Author(s):  
Jiazheng Lu ◽  
Jun Guo ◽  
Zhou Jian ◽  
Yihao Yang ◽  
Wenhu Tang
Keyword(s):  
Sequential Monte Carlo ◽  
Power Transmission ◽  
Fragility Curves ◽  
Meteorological Data ◽  
Simulation Method ◽  
Power Grids ◽  
Economic Losses ◽  
Transmission Systems ◽  
Power Transmission Systems ◽  
The Impact

Ice disasters have frequently occurred worldwide in recent years, which seriously affected power transmission system operations. To improve the resilience of power grids and minimize economic losses, this paper proposes a framework for assessing the influence of ice disasters on the resilience of power transmission systems. This method considers the spatial–temporal impact of ice disasters on the resilience of power transmission systems, and the contingence set for risk assessment is established according to contingency probabilities. Based on meteorological data, the outage models of power transmission components are developed in the form of generic fragility curves, and the ice load is given by a simplified freezing rain ice model. A cell partition method is adopted to analyze the way ice disasters affect the operation of power transmission systems. The sequential Monte Carlo simulation method is used to assess resilience for capturing the stochastic impact of ice disasters and deriving the contingency set. Finally, the IEEE RTS-79 system is employed to investigate the impact of ice disasters by two case studies, which demonstrate the viability and effectiveness of the proposed framework. In turn, the results help recognize the resilience of the system under such disasters and the effects of different resilience enhancement measures.

scholarly journals Seismic Vulnerability Assessment of a Reinforced Concrete Building Located in India

2019 ◽  
Vol 8 (11S) ◽  
pp. 310-314
Keyword(s):  
Vulnerability Assessment ◽  
Seismic Vulnerability ◽  
Fragility Curves ◽  
Equivalent Linearization ◽  
Spectral Acceleration ◽  
Damage State ◽  
Ground Acceleration ◽  
Seismic Vulnerability Assessment ◽  
Performance Point ◽  
Damage States

Over the recent years the natural disaster especially due to the earthquake effect on buildings increases which causes loss of life and property in many places all over the world. The latest development leads to finding the direct losses and damage states of the buildings for various intensities of earthquake ground motions. In the present study, seismic vulnerability assessment was done for a medium rise building (G+5). The design peak ground acceleration of 0.16g and 0.36g were considered for the risk assessment. The nonlinear static pushover analysis was done to fine the performance point, spectral acceleration and corresponding spectral acceleration by Equivalent Linearization (EL) method given by Federal Emergency Management Agency (FEMA-440). The four damage states such as slight, moderate, extreme and collapse has been considered as per HAZUS-MR4. The seismic vulnerability in terms of fragility curves was developed to evaluate the damage probabilities based on HAZUS methodology. The discrete and cumulative damage probability was found for all the damage states of the building which shows the building at 0.16g experience slight damage whereas at 0.36g the moderate damage state equally becomes predominant.

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