Intelligent genetic algorithm for generation scheduling under deregulated environment

  • Authors:

  • Sundararajan Dhanalakshmi;Subramanian Kannan;Subramanian Baskar;Krishnan Mahadevan

  • Affiliations:

  • Kalasalingam University, India;Kalasalingam University, India;Thiagarajar College of Engineering, Madurai, India;PSNACollege of Engineering and Technology, Dindugal, India

  • Venue:
  • SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
  • Year:
  • 2011

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Abstract

This paper presents an Intelligent Genetic Algorithm (IGA) solution to Generation Scheduling (GS) problem under deregulated environment. In the deregulated market, generating companies (Gencos) will operate with an objective of maximizing their profit, while satisfying the system constraints. Using an intelligent encoding scheme, the minimum up/down time constraints are easily satisfied. Performance of the algorithm is tested on a 10-unit 24-hour unit commitment test system. It is observed from the results, the profit obtained by the proposed algorithm is encouraging to the Gencos.