Title :
An Event-Oriented Method for Online Load Modeling Based on Synchrophasor Data
Author :
Yinyin Ge ; Flueck, Alexander J. ; Dae-Kyeong Kim ; Jong-Bo Ahn ; Jae-Duck Lee ; Dae-Yun Kwon
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
The objective of this paper is to present a new “event-oriented” method of online load modeling for the Illinois Institute of Technology (IIT) microgrid based on synchrophasor data produced by phasor measurement units. Several load models and their parameter estimation methods are proposed. The online load modeling process is based on an adjustable sliding window applied to two different types of load step changes. The load modeling tests and related analysis of the synchrophasor data from the IIT microgrid are demonstrated.
Keywords :
distributed power generation; phasor measurement; power engineering computing; power system parameter estimation; IIT microgrid; Illinois Institute of Technology microgrid; event-oriented method; online load modeling process; parameter estimation method; phasor measurement units; synchrophasor data; Frequency measurement; Load modeling; Mathematical model; Microgrids; Parameter estimation; Power system dynamics; Reactive power; Dynamic load modeling; ZIP model; event detection; induction motor model; parameter estimation; phasor measurement unit (PMU); static load modeling; synchrophasor data;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2015.2405920
