Optimizing the start-up operations of combined cycle power plants using soft computing methods

被引：4

作者：

Bertini, Ilaria ^{[1
]}

De Felice, Matteo ^{[1
]}

Pannicelli, Alessandro ^{[1
]}

Pizzuti, Stefano ^{[1
]}

机构：

[1] Energy New Technol & Sustainable Econ Dev Agcy EN, I-00123 Rome, Italy

来源：

LOGIC JOURNAL OF THE IGPL | 2012年 / 20卷 / 04期

关键词：

Multiobjective optimization; fuzzy sets; genetic algorithms; power plants management; FUZZY-LOGIC APPROACH; OPTIMIZATION;

D O I：

10.1093/jigpal/jzr013

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this article we present a study on the application of soft computing methods for the start-up optimization of a combined cycle power plant. In particular, we use fuzzy sets in order to get a fitness function providing the effectiveness in the lattice [0, 1] (zero bad, one excellent) of the given start-up regulations. Then we applied a genetic algorithm to find the best start-up regulations. Experimentation shows that the solution found remarkably improves the solution given by the process experts.

引用

页码：648 / 656

页数：9

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