DocumentCode
2604982
Title
A model parameter correction method based on measured trajectory
Author
An Jun ; Mu Gang ; Huang Qiaolin ; Li Ping
Author_Institution
North China Electr. Power Univ., Baoding, China
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
5
Abstract
The validity of digital simulation is with vital importance to the security analysis and planning of power systems. Currently, it is very difficult to determine the erroneous simulation parameters that cause the mismatch of simulation output and measured trajectories. In this paper, a power system dividing and trajectory sensitivity based method is proposed to find the erroneous parameters. First, the power system is divided into several subsystems, and the recorded data is used as the equivalent input to the interested subsystem. Then the relative important parameters that influent the interested subsystem can be selected by trajectory sensitivity analysis, and by tuning the selected parameters the simulation output can match the measured trajectories. New England 10-Generator and 39-Bus System studies show the validity and simplicity of the proposed method.
Keywords
power system analysis computing; power system measurement; power system planning; power system security; digital simulation; measured trajectory; model parameter correction method; power system dividing sensitivity based method; power system planning; power system trajectory sensitivity based method; security analysis; Analytical models; Current measurement; Digital simulation; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Power system security; Power system simulation; Sensitivity analysis; Digital simulation; WAMS; model validation; trajectory sensitivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5348300
Filename
5348300
Link To Document