Title :
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
fDate :
2/1/2002 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on
