Title :
Evaluation of a load composition estimation method using synthetic data
Author :
Sagi, Deepak R. ; Ranade, Satish J. ; Ellis, Abraham
Author_Institution :
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Abstract :
This paper explores a method for load composition estimation using fuzzy regression. The method is examined using synthetic data to test the accuracy and robustness. The results obtained show that aggregate load composition can be estimated with acceptable accuracy using assumed load component parameters.
Keywords :
fuzzy set theory; load flow; regression analysis; aggregate load composition; fuzzy regression; load component parameters; load composition estimation method; synthetic data; Load management; Load modeling; Mathematical model; Power system dynamics; Power system modeling; Power system stability; Power system transients; Robustness; Testing; Voltage;
Conference_Titel :
Power Symposium, 2005. Proceedings of the 37th Annual North American
Print_ISBN :
0-7803-9255-8
DOI :
10.1109/NAPS.2005.1560592
