Transmission expansion planning based on tabu search algorithm

被引：0
|
作者：
Al-Hamouz, ZM [1 ]
Mantawy, AH [1 ]
Al-Duwaish, H [1 ]
El-Amin, I [1 ]
Al-Faraj, A [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Riyadh, Saudi Arabia
来源：
ECAI 2004: 16TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2004年 / 110卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new approach for formulating and solving the transmission expansion planning (TEP) problem. The main improvement is in introducing the corona power loss in the objective function and operating constraints. This combination reveals a nonlinear objective function which is solved by Tabu Search (TS). The developed odel has been applied to Garver's 6-bus test sytem. When compared to previously reported TEP attempts, simulation results show a reduction in the total cost of the expanded network.
引用
收藏
页码：953 / 954
页数：2
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