Hydroelectric generation scheduling - an application of genetic-embedded fuzzy system approach

被引：5

作者：

Huang, SJ ^{[1
]}

机构：

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

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 1998年 / 48卷 / 01期

关键词：

hydroelectric generation scheduling; genetic algorithms; fuzzy systems;

D O I：

10.1016/S0378-7796(98)00091-1

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：

In this paper, an application of genetic-embedded fuzzy systems is proposed to solve a hydroelectric generation scheduling problem. In the proposed approach, the system was fuzzified with respect to objectives and constraints. A genetic algorithm (GA) was included to further enhance the process of tuning membership functions. By using this approach, membership mappings for important parameters can be optimally adjusted and as a result, the computational performance is 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. (C) 1998 Elsevier Science S.A. All rights reserved.

引用

页码：65 / 72

页数：8

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