An improved integer coded genetic algorithm for security constrained unit commitment problem

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 computati...

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Bibliographic Details
Published in:2008 IEEE 2nd International Power and Energy Conference pp. 1251 - 1255
Main Authors: Golestani, S., Raoofat, M., Farjah, E.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2008
Subjects:
Cost function
Dynamic programming
Genetic algorithms
Integer Coded Genetic Algorithm (ICGA)
Lagrangian functions
Large-scale systems
Perturbation operator
Power generation
Power system dynamics
Power system security
Power system simulation
Production
Security Constrained Unit Commitment (SCUC)
ISBN:1424424046, 9781424424047
Online Access:Get full text
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Summary: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.
ISBN:1424424046
9781424424047
DOI:10.1109/PECON.2008.4762668