@inproceedings{d4aa657b1a1949f5904f1e9ab6110766,
title = "Clusred: Clustering and network reduction based probabilistic optimal power flow analysis for large-scale smart grids",
abstract = "The smart electric grid in the United States is one of the largest and most complex cyber-physical systems (CPS) in the world and contains considerable uncertainties. Proba-bilistic optimal power ow (OPF) analysis is required to ac-complish the electrical and economic operational goals. In this paper, we propose a novel algorithm to accelerate the computation of probabilistic OPF for large-scale smart grids through network reduction (NR). Cumulant-based method and Gram-Charlier expansion theory are used to effciently obtain the statistics of system states. We develop a more accurate linear mapping method to compute the unknown cumulants. Our method speeds up the computation by up to 4.57 and can improve around 30% accuracy when Hessian matrix is ill-conditioned compared to the previous approach.",
keywords = "Clustering, Cumulant, Cyber-physical system, Network reduction, Probabilistic optimal powerow, Smart grid",
author = "Yi Liang and Deming Chen",
year = "2014",
doi = "10.1145/2593069.2593106",
language = "English (US)",
isbn = "9781479930173",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "DAC 2014 - 51st Design Automation Conference, Conference Proceedings",
address = "United States",
note = "51st Annual Design Automation Conference, DAC 2014 ; Conference date: 02-06-2014 Through 05-06-2014",
}