DocumentCode :
2050174
Title :
PMU based generator parameter identification to improve the system planning and operation
Author :
Chin-Chu Tsai ; Wei-Jen Lee ; Nashawati, E. ; Chin-Chung Wu ; Hong-Wei Lan
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
To ensure the system stability, generator owners are required to provide their generator models and parameters to ISO/RTO for system analysis. In addition to field testing, there is increasing demand of online approach for parameter identification. The approach of Phasor Measurement Unit (PMU) based generator unit´s parameter identification is a new emerging technology to satisfy these requirements. However, for large and complex electrical systems, the estimation of generator parameters based on PMU measurements remains a very challenge task. This paper proposed a systematic identification process to provide solution for the parameter identification problems. Three crucial steps are introduced in the proposed process. Firstly, hybrid dynamic simulation is implemented to obtain the dynamic equivalent circuit of the external system to reduce the computational time. Secondly, trajectory sensitivities and parameter correlation analysis is used to determine key parameters to further improve the computational efficiency. Finally, a minimum variance calibration strategy is proposed to derive the parameters of generator. A sample system is used to illustrate the effectiveness of the proposed approach.
Keywords :
AC generators; phasor measurement; power generation planning; power system parameter estimation; power system stability; ISO-RTO; PMU measurements; PMU-based generator unit parameter identification; complex electrical systems; computational efficiency; dynamic equivalent circuit; field testing; generator model; hybrid dynamic simulation; minimum variance calibration strategy; online approach; parameter correlation analysis; phasor measurement unit; system operation; system planning; system stability; systematic identification process; trajectory sensitivities; Correlation; Generators; Parameter estimation; Phasor measurement units; Power system dynamics; Sensitivity; Trajectory; Hybrid Dynamic Simulation; Parameter identification; Phasor Measurement Unit (PMU); Singular Value Decomposition (SVD); Trajectory Sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6344984
Filename :
6344984
Link To Document :
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