Metaheuristics applied to power systems

  • Authors:

  • Manuel A. Matos;M. Teresa Ponce de Leão;J. Tomé Saraiva;J. Nuno Fidalgo;Vladimiro Miranda;J. Peças Lopes;J. Rui Ferreira;Jorge M. C. Pereira;L. Miguel Proença;J. Luís Pinto

  • Affiliations:

  • FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEUP - Faculty of Engineering, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;FEP - Faculty of Economics, University of Porto, Porto, Portugal and INESC Porto, Power Systems Unit, Porto, Portugal;INESC Porto, Power Systems Unit, Porto, Portugal;INESC Porto, Power Systems Unit, Porto, Portugal

  • Venue:
  • Metaheuristics
  • Year:
  • 2004

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Abstract

Most optimization and decision problems in power systems include integer or binary variables, leading to combinatorial problems. In this paper, several approaches using metaheuristics and genetic algorithms are presented that deal with real problems of the power industry. Most of these methodologies are now implemented in distribution management systems (DMS) used by several utilities.