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Clonal Selection Algorithm Applied to Economic Dispatch Optimization of Electrical Energy

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Innovative Computing Methods and Their Applications to Engineering Problems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 357))

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Abstract

Economic dispatch is an important problem in power systems. This chapter presents how a method of stochastic optimization, a metaheuristic known as CLONALG (CLONal selection ALGorithm), can be applied to the economic dispatch problem. The objective function used in the optimization is based on Karush-Kuhn-Tucker conditions, thus, guaranteeing a convergence to the global optimum. Examples and results are presented showing the method is capable of finding the optimum solution while respecting power generation limits.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, PPGEE, Federal University of Parana, UFPR, Polytechnic Center, 81531-970, Curitiba, Parana, Brazil

    Daniel Cavalcanti Jeronymo & Leandro dos Santos Coelho

  2. Industrial and Systems Engineering Graduate Program, PPGEPS, Mechanical Engineering Graduate Program, PPGEM, Pontifical Catholic University of Parana, PUCPR, Imaculada Conceicao, 1155, 80215-901, Curitiba, PR, Brazil

    Leandro dos Santos Coelho

  3. Telecommunications and Control Department, Polytechnique School, University of Sao Paulo (USP), Professor Luciano Gualberto, Travessa 3, 158, CEP 05508-900, Sao Paulo, Brazil

    Yuri Cassio Campbell Borges

Authors
  1. Daniel Cavalcanti Jeronymo
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  2. Leandro dos Santos Coelho
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  3. Yuri Cassio Campbell Borges
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Editor information

Editors and Affiliations

  1. Department of Electronics Engineering and Telecommunications Faculty of Engineering, State University of Rio de Janeiro, Brazil

    Nadia Nedjah

  2. Católica do Paraná Centro de Ciências, Pontifícia Universidade, Rua Imaculada Conceição 1155, 80215-901, Curitiba, Brazil

    Leandro dos Santos Coelho

  3. Mechanical Engineering Graduate Program, Pontifical Catholic University of Parana, Imaculada Conceição, 1155, 80215-901, Curitiba, Brazil

    Viviana Cocco Mariani

  4. Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rua São Francisco Xavier 524 Sala 5022, 20559-900, Rio de Janeiro, Brazil

    Luiza de Macedo Mourelle

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Jeronymo, D.C., dos Santos Coelho, L., Borges, Y.C.C. (2011). Clonal Selection Algorithm Applied to Economic Dispatch Optimization of Electrical Energy. In: Nedjah, N., dos Santos Coelho, L., Mariani, V.C., de Macedo Mourelle, L. (eds) Innovative Computing Methods and Their Applications to Engineering Problems. Studies in Computational Intelligence, vol 357. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20958-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-20958-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20957-4

  • Online ISBN: 978-3-642-20958-1

  • eBook Packages: EngineeringEngineering (R0)

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