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A Solution to the Unit-Commitment Problem Using Integer-Coded Genetic Algorithm
413
Citations
32
References
2004
Year
Mathematical ProgrammingEngineeringEnergy EfficiencyDiscrete OptimizationNew SolutionOperations ResearchGenetic AlgorithmSystems EngineeringParallel ComputingCombinatorial OptimizationMechanism DesignGa ChromosomeInteger OptimizationIntelligent OptimizationComputer EngineeringComputer ScienceInteger ProgrammingUnit CommitmentEnergy ManagementScheduling ProblemInteger-coded Genetic Algorithm
This paper presents a new solution to the thermal unit-commitment (UC) problem based on an integer-coded genetic algorithm (GA). The GA chromosome consists of a sequence of alternating sign integer numbers representing the sequence of operation/reservation times of the generating units. The proposed coding achieves significant chromosome size reduction compared to the usual binary coding. As a result, algorithm robustness and execution time are improved. In addition, generating unit minimum up and minimum downtime constraints are directly coded in the chromosome, thus avoiding the use of many penalty functions that usually distort the search space. Test results with systems of up to 100 units and 24-h scheduling horizon are presented.
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