DocumentCode
3095606
Title
A measurement-based model validation tool of large scale power systems
Author
Chen, Qian ; An, Jun ; Mu, Gang ; Xu, Xing-wei ; Shao, Guang-hui ; Wang, Gang
Author_Institution
Sch. of Electr. Eng., Northeast Dianli Univ., Jilin, China
Volume
3
fYear
2011
fDate
8-9 Sept. 2011
Firstpage
169
Lastpage
174
Abstract
Model validation is a basic and important work to ensure the dynamic simulation accuracy which influences the decision of power system design, planning, operation and control. Because large scale power systems have a great many components, the model validation work is very complex. A measurement-based model validation software(PSMV) is introduced in the paper. Current simulation accuracy can be evaluated by trajectory comparison between measurements and simulations all around the grid. Effects of models and parameters to the dynamic trajectories during a disturbance can be investigated by modification of model types and parameter values. Dominant parameters that can be reliable estimated for a certain trajectory are selected by trajectory sensitivity ranking. Parameter estimation of large scale power systems can also be performed efficiently using the software. The software has been used in Northeast China Power Grid Company.
Keywords
power grids; power system control; power system parameter estimation; power system planning; power system simulation; Northeast China Power Grid Company; dynamic simulation accuracy; dynamic trajectories; large scale power systems; measurement-based model validation tool; model types; parameter estimation; parameter values; power system control; power system design; power system operation; power system planning; trajectory comparison; trajectory sensitivity ranking; Load modeling; Power system dynamics; Power system stability; Software; Trajectory; Transmission line measurements; dynamic simulation; model validation; parameter estimation; power system; trajectory sensitivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9691-4
Type
conf
DOI
10.1109/PEAM.2011.6135040
Filename
6135040
Link To Document