Title :
Fast parameter identification and modeling of electric load based on simplified composite load model
Author :
Songtai Yu;Shuqing Zhang;Yingduo Han; Chao Lu; Zhihong Yu; Xinran Zhang
Author_Institution :
Department of electrical engineering, Tsinghua University, Haidian District, Beijing, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Load is one of the most important parts of power system and imposes great impact on stability of the system. Proper modeling and parameter identification of load are instructive for power system stability study and control. However, because of the nonlinearity, randomness and time-variation, load modeling and parameter identification remain a big problem in power system simulation and stability analysis. Composite load model is one of the most common models for load in power system simulation. This paper introduces an online parameter identification and modeling method for electric load based on a new simplified composite load model. The approach includes three parts: the dominance analysis of parameter and model simplification, the phasor measurement and calculation, and the online parameter identification. A test on the method is also shown with the simulation of a typical case system.
Keywords :
"Load modeling","Parameter estimation","Power system stability","Active filters","Stability analysis","Rotors","Power system dynamics"
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
DOI :
10.1109/PESGM.2015.7286063