期刊
MATHEMATICS
卷 9, 期 24, 页码 -出版社
MDPI
DOI: 10.3390/math9243187
关键词
artificial bee colony algorithm; harmonic; Pareto front; passive power filters; minimum Manhattan distance
类别
资金
- Ministry of Science and Technology (MOST) in Taiwan [MOST 109-3111-8-011-001]
- Delta-NTUST Joint Research Center
This study proposes a new multi-objective optimization method based on an artificial bee colony (ABC) algorithm for achieving optimal design of passive power filters. Through a series of case studies, the efficiency and better performance of the proposed method over previous well-known algorithms have been demonstrated.
Passive power filters (PPFs) are most effective in mitigating harmonic pollution from power systems; however, the design of PPFs involves several objectives, which makes them a complex multiple-objective optimization problem. This study proposes a method to achieve an optimal design of PPFs. We have developed a new multi-objective optimization method based on an artificial bee colony (ABC) algorithm with a minimum Manhattan distance. Four different types of PPFs, namely, single-tuned, second-order damped, third-order damped, and C-type damped order filters, and their characteristics were considered in this study. A series of case studies have been presented to prove the efficiency and better performance of the proposed method over previous well-known algorithms.
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