A hybrid multi-objective optimization method considering optimization problems in power distribution systems

被引：26

作者：

Kuroda, Ken ^{[1
]}

Magori, Hideki ^{[1
]}

Ichimura, Tomiyasu ^{[2
]}

Yokoyama, Ryuichi ^{[1
]}

机构：

[1] Waseda Univ, Shinjuku Ku, Tokyo 91107, Japan

[2] Fujitsu Ltd, Ohta Ku, Tokyo 1448588, Japan

来源：

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY | 2015年 / 3卷 / 01期

关键词：

Dispersed generation; Distribution system; Evolutional strategy; Multi-objective optimization; Optimal power flow;

D O I：

10.1007/s40565-015-0096-0

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：

Various kinds of new engineering technologies have been studied to realize the low-carbon and sustainable power supply systems all over the world. In actual implementation of these technologies, mostly, there are multiple objectives with trade off relationships among each other, and also various constraints in the achievement of these objectives. Therefore, it should be essential to solve multi-objective optimization problems effectively in the applications of these new technologies in power systems. This paper proposes an improved method to realize multi-objective optimization for critical challenges in advanced power systems. To realize that, in an optimal dispersed generation installation problem, that is, one of effective measures for low-carbon power systems, various optimization methods and their combination methods are evaluated and a hybrid method for evolutionary algorithms was developed. The method can provide improved results compared with other state-of-the-art multi-objective optimization methods.

引用

页码：41 / 50

页数：10

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