DocumentCode :
1671545
Title :
A smart meter based approach to power reliability index for enterprise-level power grid
Author :
Gamroth, Catherine ; Kui Wu ; Marinakis, Dimitri
Author_Institution :
Dept. of Comput. Sci., Univ. of Victoria, Victoria, BC, Canada
fYear :
2012
Firstpage :
534
Lastpage :
539
Abstract :
We aim to develop a new, practical power reliability index (PRI) for enterprise-level power grids. Largely different from traditional evaluation methods that assume the exponential distribution of time between failures and use theoretical metrics such as mean time between failures (MTBF), our approach is data-driven and takes advantage of smart meters that are capable of recording various power quality indicators at selected monitoring points. The basic idea of our approach is to estimate the instantaneous network reliability, a concept describing current network reliability status, based on measurements from a limited number of smart meters in the power grid. We develop algorithms to solve the technical challenges in the accurate estimation of instantaneous network reliability, using Expectation Maximization (EM) and Monte Carlo Expectation Maximization (MCEM). The effectiveness of our algorithms is validated with empirical evaluation.
Keywords :
Monte Carlo methods; expectation-maximisation algorithm; power system measurement; power system reliability; smart meters; Monte Carlo expectation maximization; data driven approach; enterprise level power grid; instantaneous network reliability; monitoring points; power quality indicator; power reliability index; smart meter; Computer network reliability; Monitoring; Power grids; Power measurement; Power quality; Power system reliability; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4673-0910-3
Electronic_ISBN :
978-1-4673-0909-7
Type :
conf
DOI :
10.1109/SmartGridComm.2012.6486040
Filename :
6486040
Link To Document :
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