Multi-objective bat algorithm with time-varying inertia weights for optimal design of passive power filters set

In this study, a novel method is developed to optimise the design of passive power filters (PPFs). The proposed method is based on the famous bat algorithm (BA) and is expected to make the PPF design easier and more effective than conventional trial-and-error approaches. Furthermore, the effects of...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2015-04, Vol.9 (7), p.644-654
Main Authors: Yang, Nien-Che, Le, Minh-Duy
Format: Article
Language:English
Subjects:
Algorithms
Archives
Design optimization
external archive
Inertia
multiobjective bat algorithm
multiobjective optimisation problems
optimal design
optimisation
Optimization
passive filters
passive power filters
power filters
time‐varying inertia weights
trial‐and‐error approach
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Summary:In this study, a novel method is developed to optimise the design of passive power filters (PPFs). The proposed method is based on the famous bat algorithm (BA) and is expected to make the PPF design easier and more effective than conventional trial-and-error approaches. Furthermore, the effects of inertia weight variations on the performance of the proposed method are examined. To optimise performance, the most suitable inertia weight, with the best effects, will be selected. For solving multi-objective optimisation problems, a so-called external archive is also integrated into the proposed method. A case study of PPF design is also presented to demonstrate the accuracy, efficiency and superiority of the proposed method.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2014.0965