DocumentCode :
1065790
Title :
Measurement-based dynamic load models: derivation, comparison, and validation
Author :
Choi, Byoung-Kon ; Chiang, Hsiao-Dong ; Li, Yinhong ; Li, Hua ; Chen, Yung-Tien ; Huang, Der-Hua ; Lauby, Mark G.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY
Volume :
21
Issue :
3
fYear :
2006
Firstpage :
1276
Lastpage :
1283
Abstract :
Accurate load modeling is essential for power system dynamic simulation. In this paper, four dynamic load models are identified based on multiple online measurement data from the Taiwan Power System. The performances in modeling real and reactive power behaviors by dynamic and selected static load models are evaluated. Parameter variation with respect to different loading conditions is analyzed. A simple and efficient method is presented to estimate a representative parameter set for different loading conditions. The cross-validation technique is applied to validate the four dynamic load models in order to obtain a better estimate of their performance. Numerical studies indicate that linear dynamic load models studied in this paper give better results than two nonlinear dynamic load models in modeling reactive power behaviors during disturbance while they are comparable in modeling real power behaviors
Keywords :
power system measurement; power system simulation; reactive power; Taiwan power system; cross-validation technique; linear dynamic load models; measurement-based dynamic load models; online measurement data; parameter variation; power system dynamic simulation; reactive power behaviors; representative parameter set; static load models; Load modeling; Parameter estimation; Performance evaluation; Power measurement; Power system analysis computing; Power system dynamics; Power system measurements; Power system modeling; Power system simulation; Reactive power; Dynamic load models; load modeling; measurement-based approach; nonlinear least-squares; parameter estimation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2006.876700
Filename :
1664964
Link To Document :
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