Optimal wind farm cable routing: Modeling branches and offshore transformer modules

Martina Fischetti*, David Pisinger

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

    176 Downloads (Pure)

    Abstract

    Many EU countries aim at reducing fossil fuels in the near future, hence an efficient production of green energy is very important to reach this goal. In this article, we address the optimization of cable connections between turbines in an offshore wind park. Different versions of the problem have been studied in the recent literature. As turbines are becoming still more customized, it is important to be able to evaluate the impact of new technologies with a flexible optimization tool for scenario evaluation. In a previous joint project with Vattenfall BA Wind (a global leader in energy production) we have studied and modeled the main constraints arising in practical cases. Building on that model, in the present article, we address new technological features that have been recently proposed by Vattenfall's experts. We show how some new features can be modeled and solved using a Mixed-Integer Linear Programming paradigm. We report and discuss computational results on the performance of our new models on a set of real-world instances provided by Vattenfall.
    Original languageEnglish
    JournalNetworks
    Volume72
    Issue number1
    Pages (from-to)42-59
    Number of pages18
    ISSN0028-3045
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Computational analysis
    • Mixed-integer linear programming
    • Network models
    • Wind farm optimization

    Cite this

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    title = "Optimal wind farm cable routing: Modeling branches and offshore transformer modules",
    abstract = "Many EU countries aim at reducing fossil fuels in the near future, hence an efficient production of green energy is very important to reach this goal. In this article, we address the optimization of cable connections between turbines in an offshore wind park. Different versions of the problem have been studied in the recent literature. As turbines are becoming still more customized, it is important to be able to evaluate the impact of new technologies with a flexible optimization tool for scenario evaluation. In a previous joint project with Vattenfall BA Wind (a global leader in energy production) we have studied and modeled the main constraints arising in practical cases. Building on that model, in the present article, we address new technological features that have been recently proposed by Vattenfall's experts. We show how some new features can be modeled and solved using a Mixed-Integer Linear Programming paradigm. We report and discuss computational results on the performance of our new models on a set of real-world instances provided by Vattenfall.",
    keywords = "Computational analysis, Mixed-integer linear programming, Network models, Wind farm optimization",
    author = "Martina Fischetti and David Pisinger",
    year = "2018",
    doi = "10.1002/net.21804",
    language = "English",
    volume = "72",
    pages = "42--59",
    journal = "Networks",
    issn = "0028-3045",
    publisher = "JohnWiley & Sons, Inc.",
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    }

    Optimal wind farm cable routing: Modeling branches and offshore transformer modules. / Fischetti, Martina; Pisinger, David.

    In: Networks, Vol. 72, No. 1, 2018, p. 42-59.

    Research output: Contribution to journalJournal articleResearchpeer-review

    TY - JOUR

    T1 - Optimal wind farm cable routing: Modeling branches and offshore transformer modules

    AU - Fischetti, Martina

    AU - Pisinger, David

    PY - 2018

    Y1 - 2018

    N2 - Many EU countries aim at reducing fossil fuels in the near future, hence an efficient production of green energy is very important to reach this goal. In this article, we address the optimization of cable connections between turbines in an offshore wind park. Different versions of the problem have been studied in the recent literature. As turbines are becoming still more customized, it is important to be able to evaluate the impact of new technologies with a flexible optimization tool for scenario evaluation. In a previous joint project with Vattenfall BA Wind (a global leader in energy production) we have studied and modeled the main constraints arising in practical cases. Building on that model, in the present article, we address new technological features that have been recently proposed by Vattenfall's experts. We show how some new features can be modeled and solved using a Mixed-Integer Linear Programming paradigm. We report and discuss computational results on the performance of our new models on a set of real-world instances provided by Vattenfall.

    AB - Many EU countries aim at reducing fossil fuels in the near future, hence an efficient production of green energy is very important to reach this goal. In this article, we address the optimization of cable connections between turbines in an offshore wind park. Different versions of the problem have been studied in the recent literature. As turbines are becoming still more customized, it is important to be able to evaluate the impact of new technologies with a flexible optimization tool for scenario evaluation. In a previous joint project with Vattenfall BA Wind (a global leader in energy production) we have studied and modeled the main constraints arising in practical cases. Building on that model, in the present article, we address new technological features that have been recently proposed by Vattenfall's experts. We show how some new features can be modeled and solved using a Mixed-Integer Linear Programming paradigm. We report and discuss computational results on the performance of our new models on a set of real-world instances provided by Vattenfall.

    KW - Computational analysis

    KW - Mixed-integer linear programming

    KW - Network models

    KW - Wind farm optimization

    U2 - 10.1002/net.21804

    DO - 10.1002/net.21804

    M3 - Journal article

    VL - 72

    SP - 42

    EP - 59

    JO - Networks

    JF - Networks

    SN - 0028-3045

    IS - 1

    ER -