Optimisation of inverter placement for mass rapid transit systems by immune algorithm

被引：16

作者：

Chuang, HJ ^{[1
]}

机构：

[1] Kao Yuan Inst Technol, Dept Elect Engn, Lu Chu, Taiwan

来源：

IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS | 2005年 / 152卷 / 01期

关键词：

D O I：

10.1049/ip-epa:20041143

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：

Optimal inverter substation planning is solved by minimising the overall cost of power consumption and inverter investment for mass rapid transit power systems with immune algorithm (IA). The objective function and constraints are expressed as antigens, and all feasible solutions are expressed as antibodies in the IA simulation process. The diversity of antibodies is then enhanced by considering the proximity of antigens so that the global optimisation during the solution process can be obtained. It is found that energy regeneration, which results from the braking operation of train sets approaching the next station, can be restored effectively by the optimal planning of inverters using the proposed immune algorithm.

引用

页码：61 / 71

页数：11

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