Research on Transmission Network Planning Model based on LCC Theory and Improved AFSA

被引：0

作者：

Hua, Fuyu ^{[1
]}

Huang, Jinhua ^{[2
]}

Niu, Dongxiao ^{[1
]}

Huang, Yali ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China

[2] State Grid Zhejiang Elect Power Co, Econ Res Inst, Hangzhou, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE, EDUCATION MANAGEMENT AND SPORTS EDUCATION | 2015年 / 39卷

关键词：

Artificial Fish Swarm Algorithm (AFSA); network planning; life cycle cost; objective optimization;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The cost of power project can be controlled in the preliminary design stage, which means reducing life-cycle costs of electric power project in network planning stage. According to life-cycle cost theory, the costs of network project were analyzed and the full life-cycle cost model was established. Based on the improved Artificial Fish Swarm Algorithm, the problem was solved and the lowest life cycle cost of the grid plan was found. This paper not only verified the applicability of full life-cycle costs theory in network planning, but also contributed to reduce the full life-cycle costs of power project and improve the economics of grid construction.

引用

页码：2379 / 2382

页数：4