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ASCR Project Final Report: Advanced Kalman Filter for Real- Time Responsiveness in Complex Systems.

DE141133510

Publication Date	2014
Personal Author	Welch, G.
Page Count	5
Abstract	Complex engineering systems pose fundamental challenges in real-time operations and control because they are highly dynamic systems consisting of a large number of elements with severe nonlinearities and discontinuities. Todays tools for real-time complex system operations are mostly based on steady state models, unable to capture the dynamic nature and too slow to prevent system failures. We developed advanced Kalman filtering techniques and the formulation of dynamic state estimation using Kalman filtering techniques to capture complex system dynamics in aiding real-time operations and control. In this work, we looked at complex system issues including severe nonlinearity of system equations, discontinuities caused by system controls and network switches, sparse measurements in space and time, and real-time requirements of power grid operations. We sought to bridge the disciplinary boundaries between Computer Science and Power Systems Engineering, by introducing methods that leverage both existing and new techniques. While our methods were developed in the context of electrical power systems, they should generalize to other large-scale scientific and engineering applications.
Keywords	Kalman filtering Complex systems Computer applications Computer networks Control systems Dynamic programming Real time Switching Systems engineering
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	62 - Computers, Control & Information Theory
Corporate Authors	North Carolina Univ. at Chapel Hill.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	201501
Contract Number	DE-SC0002271

ASCR Project Final Report: Advanced Kalman Filter for Real- Time Responsiveness in Complex Systems.

ASCR Project Final Report: Advanced Kalman Filter for Real- Time Responsiveness in Complex Systems.
DE141133510

Publication Date	2014
Personal Author	Welch, G.
Page Count	5
Abstract	Complex engineering systems pose fundamental challenges in real-time operations and control because they are highly dynamic systems consisting of a large number of elements with severe nonlinearities and discontinuities. Todays tools for real-time complex system operations are mostly based on steady state models, unable to capture the dynamic nature and too slow to prevent system failures. We developed advanced Kalman filtering techniques and the formulation of dynamic state estimation using Kalman filtering techniques to capture complex system dynamics in aiding real-time operations and control. In this work, we looked at complex system issues including severe nonlinearity of system equations, discontinuities caused by system controls and network switches, sparse measurements in space and time, and real-time requirements of power grid operations. We sought to bridge the disciplinary boundaries between Computer Science and Power Systems Engineering, by introducing methods that leverage both existing and new techniques. While our methods were developed in the context of electrical power systems, they should generalize to other large-scale scientific and engineering applications.
Keywords	Kalman filtering Complex systems Computer applications Computer networks Control systems Dynamic programming Real time Switching Systems engineering
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	62 - Computers, Control & Information Theory
Corporate Authors	North Carolina Univ. at Chapel Hill.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	201501
Contract Number	DE-SC0002271