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Mutual information based Bayesian analysis of power system reliability

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Preprint , Other literature type 01 Jun 2015Embargo end date: 01 Jan 2017Publisher:IEEEJournal:2015 IEEE Eindhoven PowerTechFunded by:EC | GARPUR

Authors: Mart A. M. M. van der Meijden; Swasti R. Khuntia; Jose L. Rueda;

doi: 10.1109/ptc.2015.7232592 , 10.48550/arxiv.1710.00324

arXiv: 1710.00324 , http://arxiv.org/abs/1710.00324

Mutual information based Bayesian analysis of power system reliability

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Abstract

This paper aims at assessing the power system reliability by estimating loss of load (LOL) index using mutual information based Bayesian approach. Reliability analysis is a key component in the design, analysis and tuning of complex structure like electrical power system. Consideration is given to rare events while constructing the Bayesian network, which provides reliable estimates of probability distribution function of LOL with lesser computing effort. Also, the ranking of load components due to loss of load is evaluated. The RBTS and IEEE RTS-24 systems are used as test cases.

6 pages, 9 figures, 2 tables, PowerTech, 2015 IEEE Eindhoven

Related Organizations

Delft University of Technology
Netherlands

Keywords

FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications

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