Title :
Measurement-based power system dynamic model for response estimation
Author :
Yong Liu ; Kai Sun ; Yilu Liu
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
Abstract :
Traditional power system dynamic models are very complex due to the intricacy of power system networks and can be inaccurate because of the amount of detail needed and the fact that the grid topology changes every few minutes. However, with the deployment of a large number of phasor measurement units (PMUs), a purely measurement-based model for dynamics estimation and prediction may be obtained. This paper proposes a linear ARX-structured power system dynamic model and presents case studies demonstrating that this proposed model structure is promising in the application of power system dynamic response estimation.
Keywords :
phasor measurement; power grids; PMU; grid topology; linear ARX-structured power system dynamic model; measurement-based power system dynamic model; phasor measurement units; power system dynamic response estimation; power system network intricacy; Estimation; Frequency estimation; Load modeling; Mathematical model; Phasor measurement units; Power system dynamics; Power system stability; Phasor Measurement Unit (PMU); autoregressive with exogenous input (ARX) model; dynamic model; dynamic response estimation;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344962