A simple recursive importance and stratified sampling scheme for stochastic network reliability estimation

2012 ◽  
Vol 29 ◽  
pp. 137-148 ◽  
Author(s):  
Wei-Ning Yang ◽  
Wei-Ling Shih ◽  
Jih Chun Yeh
Keyword(s):  
Network Reliability ◽  
Stratified Sampling ◽  
Reliability Estimation ◽  
Sampling Scheme ◽  
Stochastic Network

Static Network Reliability Estimation under the Marshall-Olkin Copula

2016 ◽  
Vol 26 (2) ◽  
pp. 1-28 ◽  
Author(s):  
Zdravko I. Botev ◽  
Pierre L'Ecuyer ◽  
Richard Simard ◽  
Bruno Tuffin
Keyword(s):  
Network Reliability ◽  
Reliability Estimation

scholarly journals Static Network Reliability Estimation via Generalized Splitting

2013 ◽  
Vol 25 (1) ◽  
pp. 56-71 ◽  
Author(s):  
Zdravko I. Botev ◽  
Pierre L'Ecuyer ◽  
Gerardo Rubino ◽  
Richard Simard ◽  
Bruno Tuffin
Keyword(s):  
Network Reliability ◽  
Reliability Estimation

A Practical GIS-Based Reliability Estimation System for Large Scale Distribution Network

2012 ◽  
Vol 433-440 ◽  
pp. 1802-1810 ◽  
Author(s):  
Lin Guan ◽  
Hao Hao Wang ◽  
Sheng Min Qiu
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Network Reliability ◽  
Distribution Network ◽  
Reliability Assessment ◽  
Distribution Networks ◽  
Reliability Estimation ◽  
Assessment Model ◽  
Estimation System ◽  
The Impact

A new algorithm as well as the software design for large-scale distribution network reliability assessment is proposed in this paper. The algorithm, based on fault traversal algorithm, obtains network information from the GIS. The structure of distribution network data storage formats is described, facilitating automatic output of the feeders’ topological and corresponding information from the GIS. Also the judgment of load transfer is discussed and the method for reliability assessment introduced in this paper. Moreover, The impact of the scheduled outage is taken into account in the assessment model, making the results more in accordance with the actual situation. Test Cases show that the proposed method features good accuracy and effectiveness when applied to the reliability assessment of large-scale distribution networks.

A Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation-Based Design

2013 ◽  
Author(s):  
Zequn Wang ◽  
Pingfeng Wang
Keyword(s):  
Confidence Level ◽  
Sequential Sampling ◽  
Surrogate Models ◽  
Design Sensitivity ◽  
Reliability Estimation ◽  
Sampling Scheme ◽  
Design Variables ◽  
Simulation Based Design ◽  
Simulation Based ◽  
Maximum Improvement

This paper presents a maximum confidence enhancement based sequential sampling approach for simulation-based design under uncertainty. In the proposed approach, the ordinary Kriging method is adopted to construct surrogate models for all constraints and thus Monte Carlo simulation (MCS) is able to be used to estimate reliability and its sensitivity with respect to design variables. A cumulative confidence level is defined to quantify the accuracy of reliability estimation using MCS based on the Kriging models. To improve the efficiency of proposed approach, a maximum confidence enhancement based sequential sampling scheme is developed to update the Kriging models based on the maximum improvement of the defined cumulative confidence level, in which a sample that produces the largest improvement of the cumulative confidence level is selected to update the surrogate models. Moreover, a new design sensitivity estimation approach based upon constructed Kriging models is developed to estimate the reliability sensitivity information with respect to design variables without incurring any extra function evaluations. This enables to compute smooth sensitivity values and thus greatly enhances the efficiency and robustness of the design optimization process. Two case studies are used to demonstrate the proposed methodology.

A splitting algorithm for network reliability estimation

2013 ◽  
Vol 45 (2) ◽  
pp. 177-189 ◽  
Author(s):  
Leslie Murray ◽  
Héctor Cancela ◽  
Gerardo Rubino
Keyword(s):  
Network Reliability ◽  
Reliability Estimation ◽  
Splitting Algorithm

scholarly journals The Cross-Entropy Method for Network Reliability Estimation

2005 ◽  
Vol 134 (1) ◽  
pp. 101-118 ◽  
Author(s):  
K.-P. Hui ◽  
N. Bean ◽  
M. Kraetzl ◽  
Dirk P. Kroese
Keyword(s):  
Network Reliability ◽  
Entropy Method ◽  
Reliability Estimation ◽  
Cross Entropy ◽  
Cross Entropy Method ◽  
The Cross
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