Application of genetic based fuzzy systems to hydroelectric generation scheduling

被引：3

作者：

Huang, SJ ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 70101, Taiwan

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 1999年 / 14卷 / 03期

关键词：

hydroelectric generation scheduling; genetic algorithms; fuzzy systems;

D O I：

10.1109/60.790942

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：

An application of genetic based fuzzy systems to hydroelectric generation scheduling is presented in this paper. In the proposed approach, the system was fuzzified with respect to objectives and constraints. A genetic algorithm was included to further enhance the process of tuning membership functions. By this way, membership mappings for those important parameters can be optimally adjusted. The computational performance is thus improved. The proposed approach has been tested on Taiwan Power System (Taipower) through the utility data. Test results have demonstrated the feasibility and effectiveness of the proposed approach for the applications.

引用

页码：724 / 730

页数：7

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