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Optimal design of the electrical layout of an offshore wind farm applying decomposition strategies

S. Lumbreras, A. Ramos

Electrical layout design is a key element in offshore wind farm planning, with a critical impact on both plant cost and reliability. OffshoreWindfarm Layout optimizer (OWL) has been developed to efficiently find optimal electrical layouts in affordable computation times. The tool includes the possibility of HVDC connection and incorporates an approximation of losses, as well as stochasticity in wind inputs and component failures. OWL has been applied to several case studies including Barrow Offshore Wind Farm. OWL produces a significant cost reduction over the actually implemented design, with total realizable savings of EUR 800 k. The optimal layout includes redundant elements and deviates from a symmetrical pattern, therefore showing that a full optimization of the layout, rather than the selection of a pre-defined configuration, is necessary in order to fully capture efficiencies. The model relies on MIP and exploits the structure of the problem via decomposition strategies. Two different approaches have been developed, both resulting in substantial time savings. Bendersí decomposition has been further improved by the addition of partially relaxed cuts and the application of scenario aggregation techniques. In addition, the Progressive Contingency Incorporation algorithm proposed by the authors is applied. Computation time savings reach two orders of magnitude.

Keywords: Circuit optimization, integer programming, power system planning, power system reliability, stochastic systems, wind power generation.

IEEE Transactions on Power Systems. Volume: 28 Issue: 2 Pages: 1434-1441

JCR Impact Factor and Scopus quartile: JCR impact factor: 3.530 (2013); 6.807 (2018).

DOI reference: DOI icon 10.1109/TPWRS.2012.2204906    

Published on paper: May 2013.

S. Lumbreras, A. Ramos. Optimal design of the electrical layout of an offshore wind farm applying decomposition strategies. IEEE Transactions on Power Systems. vol. 28, no. 2, pp. 1434-1441, May 2013.

    Topics research:
  • *Long-term strategic analysis

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