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2014 47th Hawaii International Conference on System Sciences (2008)
Waikoloa, Big Island, Hawaii
Jan. 7, 2008 to Jan. 10, 2008
ISSN: 1530-1605
ISBN: 0-7695-3075-3
pp: 187
ally employed in large-scale interconnected power systems, where state estimation usually involves very tedious com- munications and computations. This paper presents 1) a modified coordination technique that is based on Kalman Filtering, derived from hierarchical state estimation; and 2) a time complexity analysis and experimental implementa- tion to compare central, distributed, and hierarchical state estimation algorithms in terms of computation power and communication bandwidth requirements. Analytical and ex- perimental results on the IEEE 118-bus test bed show that the presented approach, i.e., Hierarchical Kalman Filtering (HKF), needs about 34% communication bandwidth and O( 1 N3 ) computation power in subsystems compared to central state estimation, while giving approximately the same level of estimation precision.
Saman A. Zonouz, William H. Sanders, "A Kalman-Based Coordination for Hierarchical State Estimation:? Agorithm and Analysis", 2014 47th Hawaii International Conference on System Sciences, vol. 00, no. , pp. 187, 2008, doi:10.1109/HICSS.2008.23
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