Mutual Information based Bayesian Analysis of Power System Reliability
Swasti R. Khuntia, Jose L. Rueda, and Mart A. M. M. van der Meijden
TL;DR
This paper introduces a mutual information based Bayesian method to assess power system reliability by estimating the loss of load index, effectively handling rare events and ranking load components with reduced computational effort.
Contribution
It presents a novel Bayesian approach utilizing mutual information for power system reliability analysis, focusing on efficient estimation and component ranking.
Findings
Accurate LOL estimation with less computation
Effective ranking of load components based on LOL
Validated on RBTS and IEEE RTS-24 systems
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.
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