Collector system layout optimization framework for large-scale offshore wind farms

Y. Chen, Z.Y. Dong, K. Meng, F.J. Luo, Z. Xu, Kitpo Wong

    Research output: Contribution to journalArticlepeer-review

    54 Citations (Scopus)

    Abstract

    © 2010-2012 IEEE.A new collector system layout optimization (CSLO) framework for large-scale offshore wind farms (OWFs) is proposed in this paper. First, a self-adaptive allocation method is proposed to determine the location of substations and to allocate each turbine to its geographically closest substation. And then, in order to minimize the annualized investment cost, maintenance cost, and levelized cable losses cost, while satisfying a group of operational constraints, the proposed CSLO model is formulated as a mixed-integer nonlinear programming problem, which is solved by the Benders decomposition algorithm. Multiple substations and cable types are also considered in the model. The validity and effectiveness of the proposed methods are demonstrated in two OWF cases consisting of 30 and 100 units.
    Original languageEnglish
    Article number7454777
    Pages (from-to)1398-1407
    Number of pages10
    JournalIEEE Transactions on Sustainable Energy
    Volume7
    Issue number4
    DOIs
    Publication statusPublished - Oct 2016

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