Title :
An estimative approach for CVR effectiveness using aggregated load modeling
Author :
Tesfasilassie, Musie ; Zarghami, M. ; Vaziri, M. ; Rahimi, Azar
Author_Institution :
California State Univ., Sacramento, CA, USA
Abstract :
In order to develop an estimate of the benefits of Conservation Voltage Reduction (CVR) in the distribution system, composite characteristics of system loads based on ZIP modeling has been extracted from measurements of electrical quantities at the main substation. This knowledge is further used in finding a quantitative estimation approach for predicting the effectiveness of substation transformer tap changes in reducing total power demand in different load conditions. The proposed algorithm is implemented on the IEEE 34 bus test system and the results are demonstrated. It is shown that the method can predict the effectiveness of CVR with acceptable accuracy.
Keywords :
distribution networks; estimation theory; on load tap changers; power system measurement; transformer substations; CVR effectiveness; IEEE 34 bus test system; ZIP modeling; aggregated load modeling; conservation voltage reduction; distribution system; electrical quantity measurement; quantitative estimation approach; substation transformer tap; system load composite characteristics; total power demand reduction; Load modeling; Mathematical model; Power demand; Reactive power; Substations; Voltage control; Voltage measurement; Aggregated load modeling; Conservation voltage reduction; Least square method; ZIP load;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2014.6816382
