TY - GEN

T1 - Effect of different load models on the three-sample based quadratic prediction algorithm

AU - Pal, Anamitra

N1 - Publisher Copyright:
© 2015 IEEE.

PY - 2015/6/23

Y1 - 2015/6/23

N2 - A quadratic prediction algorithm has been proposed previously that estimates the future state from three preceding values of the same state. The original proof of that algorithm was developed based on loads changing at constant power factor. Since real power system loads are composite in nature, it is important to analyze that algorithm's performance for different load models. This paper studies the effect of constant power load, constant current load, constant impedance load, and the WECC load model on the performance of the three-sample based quadratic prediction algorithm. The analysis is performed using the IEEE-118 bus system, a 4000-bus WECC model, as well as real-data obtained from a utility. The results indicate that the three-sample based quadratic prediction algorithm is able to estimate the states accurately for all the load models.

AB - A quadratic prediction algorithm has been proposed previously that estimates the future state from three preceding values of the same state. The original proof of that algorithm was developed based on loads changing at constant power factor. Since real power system loads are composite in nature, it is important to analyze that algorithm's performance for different load models. This paper studies the effect of constant power load, constant current load, constant impedance load, and the WECC load model on the performance of the three-sample based quadratic prediction algorithm. The analysis is performed using the IEEE-118 bus system, a 4000-bus WECC model, as well as real-data obtained from a utility. The results indicate that the three-sample based quadratic prediction algorithm is able to estimate the states accurately for all the load models.

KW - Load models

KW - Phasor measurement unit (PMU)

KW - Quadratic prediction

KW - State estimation

UR - http://www.scopus.com/inward/record.url?scp=84939167588&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84939167588&partnerID=8YFLogxK

U2 - 10.1109/ISGT.2015.7131811

DO - 10.1109/ISGT.2015.7131811

M3 - Conference contribution

AN - SCOPUS:84939167588

T3 - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015

BT - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015

Y2 - 18 February 2015 through 20 February 2015

ER -