TY - GEN
T1 - An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization
AU - Ibrahim, Ahmad Asrul
AU - Mohamed, Azah
AU - Shareef, Hussain
AU - Ghoshal, Sakti Prasad
PY - 2011
Y1 - 2011
N2 - This paper presents an effective power quality monitor (PQM) placement method for voltage sag assessment by utilizing quantum-inspired particle swarm optimization technique. The optimization handles the observability constraints based on the topological monitor reach area concept and solves a multi-objective function in obtaining the optimal number and placement of PQMs in power systems. The objective function consists of two functions which are based on monitor overlapping index and sag severity index. In this study, the optimization performance of the proposed technique is compared to that of the standard binary particle swarm optimization and the existing method using genetic algorithm. All the optimization algorithms have been implemented and tested on the IEEE 69-bus and the 118-bus test systems to evaluate the effectiveness of the techniques.
AB - This paper presents an effective power quality monitor (PQM) placement method for voltage sag assessment by utilizing quantum-inspired particle swarm optimization technique. The optimization handles the observability constraints based on the topological monitor reach area concept and solves a multi-objective function in obtaining the optimal number and placement of PQMs in power systems. The objective function consists of two functions which are based on monitor overlapping index and sag severity index. In this study, the optimization performance of the proposed technique is compared to that of the standard binary particle swarm optimization and the existing method using genetic algorithm. All the optimization algorithms have been implemented and tested on the IEEE 69-bus and the 118-bus test systems to evaluate the effectiveness of the techniques.
KW - binary particle swarm optimization
KW - genetic algorithm
KW - multi-objective function
KW - quantum-inspired particle swarm optimization
KW - topological monitor reach area
KW - voltage sag assessment
UR - http://www.scopus.com/inward/record.url?scp=80054011423&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054011423&partnerID=8YFLogxK
U2 - 10.1109/ICEEI.2011.6021845
DO - 10.1109/ICEEI.2011.6021845
M3 - Conference contribution
AN - SCOPUS:80054011423
SN - 9781457707520
T3 - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
BT - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
T2 - 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
Y2 - 17 July 2011 through 19 July 2011
ER -