Evolutionary optimization of power electronics based power systems

被引：15
作者：
Chan, Ricky R. [1 ]
Lee, Yonggon [2 ]
Sudhoff, Scott D. [1 ]
Zivi, Edwin L. [2 ]
机构：
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USA
[2] USN Acad, Dept Syst Engn, Annapolis, MD 21402 USA
来源：
IEEE TRANSACTIONS ON POWER ELECTRONICS | 2008年 / 23卷 / 04期
关键词：
evolutionary algorithms (EAs); optimization methods; power electronics; power system controls;
D O I：
10.1109/TPEL.2008.925197
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper sets forth and demonstrates an approach to the design of power electronics based power systems using evolutionary computing techniques. Key features of the paper are the use of evolutionary computing in the context of classical control design, construction of appropriate multievent based performance metrics, and the use of multiobjective evolutionary computing in the selection of control parameters based on system performance versus control effort. The proposed approach is demonstrated in a power electronics based power distribution system similar to those being designed for next generation warships.
引用
收藏
页码：1907 / 1917
页数：11
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