Application of a Genetic Algorithm in the Optimization-based Unit Commitment of the Power Plant

Author

Yuan, Guili ; Liu, Jizhen ; Shi, Guoqing

Author_Institution

North China Electr. Power Univ., Beijing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

7604

Lastpage

7607

Abstract

As the electric industry restructures, competitive mechanism begins coming into electricity market. The method of optimizing the unit commitment (UC) in the thermal power plant is an important task. This paper discusses an advanced application of genetic algorithm, the method can create initial generation that is a feasible solution to UC. Feasibility checking builds a relation between infeasible solution and feasible solution space, which reduces lots of invalid processes in genetic searching. The simulation shows that the method has good convergence, adaptability, and rapid calculation capacity, can achieve optimal solution close to whole optimization

Keywords

electricity supply industry; genetic algorithms; power generation scheduling; power markets; thermal power stations; competitive mechanism; electric industry restructure; electricity market; genetic algorithm; genetic searching; thermal power plant; unit commitment; Automation; Electricity supply industry; Genetic algorithms; Intelligent control; Optimization methods; Power generation; genetic algorithm; optimization-based unit commitment; optimized searching;

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.2006.1713445

Filename

1713445