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 :
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