A new approach for substation expansion planning

被引：50

作者：

Sepasian, MS ^{[1
]}

Seifi, H

Foroud, AA

Hosseini, SH

Kabir, EM

机构：

[1] Ind Univ, Tehran, Iran

[2] Tarbiat Modares Univ, Tehran, Iran

[3] Semnan Univ, Semnan, Iran

[4] Zanjan Univ, Zanjan, Iran

[5] Tavanir Co, Tehran, Iran

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2006年 / 21卷 / 02期

关键词：

genetic algorithm (GA); optimization; power system planning; substation expansion planning (SEP);

D O I：

10.1109/TPWRS.2006.873406

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：

Substation expansion planning (SEP), as a major module of power system planning modules, is addressed in this paper. For long-term transmission SEP, a new approach based on a genetic algorithm (GA) optimization tool is proposed, in which by defining appropriate objective function and various constraints, new as well as expansion of existing substation requirements are determined. The proposed algorithm is successfully tested for the Iranian Power Grid in 2011.

引用

页码：997 / 1004

页数：8

共 17 条

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