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A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures

Author

Listed:
  • Silvio Rodrigues

    (DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The Netherlands)

  • Carlos Restrepo

    (Department of Industrial Technologies, Universidad de Talca, Talca 3340000, Chile)

  • George Katsouris

    (DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The Netherlands)

  • Rodrigo Teixeira Pinto

    (CITCEA-UPC, Carrer de Jordi Girona, 31, Barcelona 08034, Spain)

  • Maryam Soleimanzadeh

    (ECN, Westerduinweg 3, Petten 1755 LE, The Netherlands)

  • Peter Bosman

    (Centrum Wiskunde & Informatica, Science Park 123, Amsterdam 1098 XG, The Netherlands)

  • Pavol Bauer

    (DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The Netherlands)

Abstract

Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the respective electrical infrastructures. The proposed framework optimizes simultaneously different goals (e.g., annual energy delivered and investment cost) which leads to efficient trade-offs during the design phase, e.g., reduction of wake losses vs collection system length. Furthermore, the proposed framework is independent of economic assumptions, meaning that no a priori values such as the interest rate or energy price, are needed. The proposed framework was applied to the Dutch Borssele areas I and II. A wide range of OWF layouts were obtained through the optimization framework. OWFs with similar energy production and investment cost as layouts designed with standard sequential strategies were obtained through the framework, meaning that the proposed framework has the capability to create different OWF layouts that would have been missed by the designers. In conclusion, the proposed multi-objective optimization framework represents a mind shift in design tools for OWFs which allows cost savings in the design and operation phases.

Suggested Citation

  • Silvio Rodrigues & Carlos Restrepo & George Katsouris & Rodrigo Teixeira Pinto & Maryam Soleimanzadeh & Peter Bosman & Pavol Bauer, 2016. "A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures," Energies, MDPI, vol. 9(3), pages 1-42, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:216-:d:66066
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    References listed on IDEAS

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