A New Hybrid Real-Coded Genetic Algorithm and Application in Dynamic Economic Dispatch

Author

Zhang, Guoli ; Lu, Hai Yan ; Li, Gengyin ; Xie, Hong

Author_Institution

North China Electr. Power Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3627

Lastpage

3632

Abstract

This paper builds a dynamic economic dispatch model with a non-smooth cost function and ramp rate constraints. A new hybrid real-coded genetic algorithm with quasi-simplex techniques was proposed to solve the builded model. Furthermore, a novel way to generate initial population is suggested to speed up the search process. A dispatch case consisting of 13 units and 24 time intervals has been tested using the proposed model and the algorithm. The test results have convinced the validity of the model and effectiveness of the algorithm

Keywords

genetic algorithms; load dispatching; power system economics; dynamic economic dispatch model; hybrid real-coded genetic algorithm; initial population; nonsmooth cost function; quasi-simplex technique; ramp rate constraint; search process; Australia; Cost function; Genetic algorithms; Power generation economics; Power markets; Power system dynamics; Power system economics; Power system modeling; Spinning; Testing; Dynamic economic dispatch; Genetic algorithm; Quasi-simplex techniques;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713046

Filename

1713046