Paper Info
Title
An Extremal Optimization approach to parallel resonance constrained capacitor placement problem.
Abstract
Installation of capacitors in distribution networks is one of the most used procedure to compensate reactive power generated by loads and, consequently, to reduce technical losses. So, the problem consists in identifying the optimal placement and sizing of capacitors. This problem is known in the literature as optimal capacitor placement problem. Neverthless, depending on the location and size of the capacitor, it may become a harmonic source, allowing capacitor to enter into resonance with the distribution network, causing several undesired side effects. In this work we propose a parsimonious method to deal with the capacitor placement problem that incorporates resonance constraints, ensuring that every allocated capacitor will not act as a harmonic source. This proposed algorithm is based upon a physical inspired metaheuristic known as Extremal Optimization. The results achieved showed that this proposal has reached significant gains when compared with other proposals that attempt repair, in a post-optimization stage, already obtained solutions which violate resonance constraints.
Year
Venue
Field
2017
arXiv: Optimization and Control
Mathematical optimization,Capacitor,Extremal optimization,Harmonic,AC power,Sizing,Resonance,Parallel resonance,Mathematics,Metaheuristic
DocType
Volume
Citations 
Journal
abs/1701.09046
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
André Ricardo Gonçalves1166.43
Celso C. Cavelucci200.34
Christiano Lyra Filho321.38
Fernando J. Von Zuben483181.83