4.7 Article

Optimal design of passive power filters based on multi-objective bat algorithm and pareto front

期刊

APPLIED SOFT COMPUTING
卷 35, 期 -, 页码 257-266

出版社

ELSEVIER
DOI: 10.1016/j.asoc.2015.05.042

关键词

Bat algorithm; External archive; Multi-objective optimization; Non-dominated solutions; Passive power filters

资金

  1. National Science Council of Taiwan, R.O.C [NSC 102-3113-P-155-001, NSC 102-2221-E-155-040]

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This paper proposes an optimal design method for passive power filters (PPFs) in order to suppress critical harmonics and improve power factor. The characteristics of common passive filters, such as single-tuned, second-order, third-order, and C-type damped filters are introduced. In addition, several objective functions and constraints for PPF design problems are constructed. A new multi-objective optimization based on the modified bat algorithm and Pareto front is developed for solving PPF design problems. A case study is also presented to demonstrate the efficiency and superiority of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.

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