Unit commitment solution methodology using genetic algorithm

Author

Swarup, K.S. ; Yamashiro, S.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Madras, India

Volume

17

Issue

1

fYear

2002

fDate

2/1/2002 12:00:00 AM

Firstpage

87

Lastpage

91

Abstract

Solution methodology of unit commitment (UC) using genetic algorithms (GA) is presented. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as minimization of the total objective function while satisfying the associated constraints. Problem specific operators are proposed for the satisfaction of time dependent constraints. Problem formulation, representation and the simulation results for a 10 generator-scheduling problem are presented

Keywords

genetic algorithms; power generation dispatch; power generation economics; power generation scheduling; 10 generator-scheduling problem; economic dispatch; genetic algorithm; optimization; problem formulation; spinning reserve; start up cost; total objective function minimisation; unit commitment solution methodology; Biological cells; Cost function; Demand forecasting; Economic forecasting; Genetic algorithms; Power generation economics; Power system economics; Power system simulation; Spinning; Time factors;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.982197

Filename

982197