Novel quantum-inspired firefly algorithm for optimal power quality monitor placement
Received date: 06 Oct 2013
Accepted date: 29 Nov 2013
Published date: 22 May 2014
Copyright
The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power quality monitor placement in a power system. The conventional binary firefly algorithm was modified by using quantum principles to attain a faster convergence rate that can improve system performance and to avoid premature convergence. In the optimization process, a multi-objective function was used with the system observability constraint, which is determined via the topological monitor reach area concept. The multi-objective function comprises three functions: number of required monitors, monitor overlapping index, and sag severity index. The effectiveness of the proposed method was verified by applying the algorithm to an IEEE 118-bus transmission system and by comparing the algorithm with others of its kind.
Ling Ai WONG , Hussain SHAREEF , Azah MOHAMED , Ahmad Asrul IBRAHIM . Novel quantum-inspired firefly algorithm for optimal power quality monitor placement[J]. Frontiers in Energy, 2014 , 8(2) : 254 -260 . DOI: 10.1007/s11708-014-0302-1
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