Generation Scheduling problem by Intelligent Genetic Algorithm

Authors:
Sundararajan Dhanalakshmi;Subramanian Baskar;Subramanian Kannan;Krishnan Mahadevan
Affiliations:
Kalasalingam University, Krishnankoil, Tamil Nadu, India;Thiagarajar College of Engineering, Madurai, Tamil Nadu, India;Kalasalingam University, Krishnankoil, Tamil Nadu, India;PSNA College of Engineering and Technology, Dindugal, Tamil Nadu, India
Venue:
Computers and Electrical Engineering
Year:
2013

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Abstract

This paper presents a Genetic Algorithm (GA) solution to solve the Generation Scheduling (GS) problem with intelligent coding scheme. The intelligent coding scheme effectively handles minimum up/down time constraints of GS problem. GA with intelligent coding is called as Intelligent Genetic Algorithm (IGA). Penalty parameter-less constraint handling technique is used for satisfying power balance constraint. Performance of the IGA is tested on a 10-unit 24-h and 26-unit 24-h unit commitment test systems. The result obtained using IGA is compared with the results reported using Lagrangian Relaxation (LR), Enhanced Lagrangian Relaxation (ELR), LRGA, GA and Evolutionary Programming methods. Simulation results show the effects of intelligent coding scheme in obtaining feasible and minimum cost solution.