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Computational Intelligence and Decision Making pp 215–226Cite as

Generation Capacity Expansion Planning in Restructured Electricity Markets Using Genetic Algorithms

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Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 61))

Abstract

This paper describes an approach to model and to solve the Generation Expansion Planning Problem, GEP, using Genetic Algorithms. This approach was developed in order to help investors in new generation capacity to take decisions regarding new investments. This approach was developed in the scope of the implementation of electricity markets given that they eliminated the traditional centralized planning activities leading to the creation of several generation companies competing to supply the demand. As a result, the generation activity is more risky than in the past and so it becomes important to develop new tools to help decision makers to analyze the investment alternatives, having in mind the possible behavior of the competitors. The developed model aims at maximizing the expected profits that will be obtained by an investor, while it evaluates the reliability and the security of supply and it incorporates uncertainties related with the volatility of electricity prices, with the reliability of generation groups, with the evolution of the demand, and with the operation and investment costs The developed model and the implemented solution algorithm will be applied to a Case Study to illustrate the use of the developed approach to build the expansion plans.

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Author information

Authors and Affiliations

  1. Departamento de Engenharia Eletrotécnica, Instituto Superior de Engenharia de Coimbra Instituto Politécnico de Coimbra Rua Pedro Nunes, 3030-199, Coimbra, Portugal

    Adelino J. C. Pereira

  2. Departamento de Engenharia Eletrotécnica e de Computadores, FEUP/DEEC and INESC Porto Campus da FEUP, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    João Tomé Saraiva

Authors
  1. Adelino J. C. Pereira
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  2. João Tomé Saraiva
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Corresponding author

Correspondence to Adelino J. C. Pereira .

Editor information

Editors and Affiliations

  1. Computer Science Department, Polytechnique Institute of Porto, Rua Dr. Bernardino de Almeida 431, Porto, 4200-072, Portugal

    Ana Madureira

  2. Electrical and Engineering Department, Polytechnique Institute of Porto, Rua Dr. Bernardino de Almeida 431, Porto, 4200-072, Portugal

    Cecilia Reis

  3. , Department of Computer Science and Syste, Polytechnique Institute of Coimbra, Rua Pedro Nunes - Quinta da Nora, Coimbra, 3030-199, Portugal

    Viriato Marques

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Pereira, A.J.C., Saraiva, J.T. (2013). Generation Capacity Expansion Planning in Restructured Electricity Markets Using Genetic Algorithms. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_20

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  • DOI: https://doi.org/10.1007/978-94-007-4722-7_20

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-4721-0

  • Online ISBN: 978-94-007-4722-7

  • eBook Packages: EngineeringEngineering (R0)

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