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

被引：58
|
作者：
Yang, Nien-Che [1 ]
Le, Minh-Duy
机构：
[1] Yuan Ze Univ, Dept Elect Engn, Taoyuan 32003, Taiwan
来源：
APPLIED SOFT COMPUTING | 2015年 / 35卷
关键词：
Bat algorithm; External archive; Multi-objective optimization; Non-dominated solutions; Passive power filters; OPTIMIZATION;
D O I：
10.1016/j.asoc.2015.05.042
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：257 / 266
页数：10
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