Transmission Network Expansion Planning under Improved Genetic Algorithm

被引：0
|
作者：
Fan, Hong [1 ]
Jin, Yi-xiong [1 ]
机构：
[1] Shanghai Univ Elect Power, Dept Elect Power Engn, Shanghai 200090, Peoples R China
来源：
RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7 | 2012年 / 347-353卷
关键词：
Electric power system; Transmission network expansion planning; Improved genetic algorithm; Simulated Annealing;
D O I：
10.4028/www.scientific.net/AMR.347-353.1458
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Improved genetic algorithm for solving the transmission network expansion planning is presented in the paper. The module which considered the investment costs of new transmission facilities. It is a large integer linear optimization problem. In this work we present improved genetic algorithm to find the solution of excellent quality. This method adopts integer parameter encoded style and has nonlinear crossover and mutation operators, owns strong global search capability. Tests are carried out using a Brazilian Southern System and the results show the good performance.
引用
收藏
页码：1458 / 1461
页数：4
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