Title :
An improved integer coded genetic algorithm for security constrained unit commitment problem
Author :
Golestani, S. ; Raoofat, M. ; Farjah, E.
Author_Institution :
Dept. of Electr. Eng., Shiraz Univ., Shiraz
Abstract :
This paper presents a novel approach to solve the security constrained unit commitment problem using decomposition technique. The method applies an improved integer coded genetic algorithm (ICGA) to schedule the commitment states of units. ICGA technique reduces the size of chromosomes and computation time significantly. Here, the proposed ICGA has been enhanced by using perturbation operator. Simulation results for six-bus test system exhibit the effectiveness of the proposed approach.
Keywords :
genetic algorithms; integer programming; power generation dispatch; power generation scheduling; power system security; decomposition technique; integer coded genetic algorithm; perturbation operator; security constrained unit commitment problem; six-bus test system; Cost function; Dynamic programming; Genetic algorithms; Lagrangian functions; Large-scale systems; Power generation; Power system dynamics; Power system security; Power system simulation; Production; Integer Coded Genetic Algorithm (ICGA); Perturbation operator; Security Constrained Unit Commitment (SCUC);
Conference_Titel :
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location :
Johor Bahru
Print_ISBN :
978-1-4244-2404-7
Electronic_ISBN :
978-1-4244-2405-4
DOI :
10.1109/PECON.2008.4762668
