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Optimal Scheduling of Short Term Hydrothermal Coordination for an Indian Utility System Using Genetic Algorithm

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Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 199))

Abstract

This paper addresses short-term scheduling of two test hydrothermal systems by using Genetic algorithm. Short-term hydrothermal coordination consists of determining the optimal usage of available hydro and thermal resources during a scheduling period of time.Genetic algorithm is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. The developed algorithm is illustrated for a test system an Indian Utility System which consists of 7 hydro and 4 thermal systems respectively. The effectiveness and stochastic nature of proposed algorithm has been tested with standard test case and the results have been proved to be better than conventional method and results obtained by the proposed method are superior in terms of fuel cost.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, SRM University, Chennai, India

    S. Padmini, Subhronil Chaudhuri & Arkita Chakraborty

  2. Department of Electrical and Electronics Engineering, Pondichery University, Chennai, India

    C. Christober Asir Rajan

Authors
  1. S. Padmini
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  2. C. Christober Asir Rajan
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  3. Subhronil Chaudhuri
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  4. Arkita Chakraborty
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Corresponding author

Correspondence to S. Padmini .

Editor information

Editors and Affiliations

  1. Dept of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. AI Lab, University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  3. Bhubaneswar Engineering College, Bhubaneswar, India

    Bhabendra Narayan Biswal

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Padmini, S., Rajan, C.C.A., Chaudhuri, S., Chakraborty, A. (2013). Optimal Scheduling of Short Term Hydrothermal Coordination for an Indian Utility System Using Genetic Algorithm. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_51

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  • DOI: https://doi.org/10.1007/978-3-642-35314-7_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35313-0

  • Online ISBN: 978-3-642-35314-7

  • eBook Packages: EngineeringEngineering (R0)

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