TY - GEN
T1 - A smart meter based approach to power reliability index for enterprise-level power grid
AU - Gamroth, Catherine
AU - Wu, Kui
AU - Marinakis, Dimitri
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2012
Y1 - 2012
N2 - 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. © 2012 IEEE.
AB - 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. © 2012 IEEE.
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U2 - 10.1109/SmartGridComm.2012.6486040
DO - 10.1109/SmartGridComm.2012.6486040
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781467309110
T3 - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
SP - 534
EP - 539
BT - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
T2 - 2012 IEEE 3rd International Conference on Smart Grid Communications
Y2 - 5 November 2012 through 8 November 2012
ER -