DocumentCode :
3340288
Title :
An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization
Author :
Ibrahim, Ahmed A. ; Mohamed, Amr ; Shareef, Hussain ; Ghoshal, Sakti Prasad
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2011
fDate :
17-19 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
IEEE standards; genetic algorithms; particle swarm optimisation; power supply quality; power system measurement; IEEE 118-bus test systems; IEEE 69-bus test systems; genetic algorithm; monitor overlapping index; power quality monitor placement method; power systems; quantum-inspired particle swarm optimization; sag severity index; voltage sag assessment; Convergence; Genetic algorithms; Monitoring; Optimization; Particle swarm optimization; Power quality; Voltage fluctuations; binary particle swarm optimization; genetic algorithm; multi-objective function; quantum-inspired particle swarm optimization; topological monitor reach area; voltage sag assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Informatics (ICEEI), 2011 International Conference on
Conference_Location :
Bandung
ISSN :
2155-6822
Print_ISBN :
978-1-4577-0753-7
Type :
conf
DOI :
10.1109/ICEEI.2011.6021845
Filename :
6021845
Link To Document :
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