4.7 Article

Optimization of offshore grid planning considering onshore network expansions

期刊

RENEWABLE ENERGY
卷 181, 期 -, 页码 91-104

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.08.117

关键词

Offshore wind farm clusters; Offshore grid; Optimal planning; Onshore network expansions

资金

  1. Scientific Research and Innovation Program of Shanghai Education Commission [2021-01-07-00-07-E00122]

向作者/读者索取更多资源

In the coming years, offshore wind energy development will trend towards clustering, and the concept of offshore grid connection presents new features. A tri-level optimization strategy is proposed in this paper to optimize offshore grid planning while considering onshore network expansions. An engineering case study from the East China Sea demonstrates the effectiveness of the proposed methodology.
In the coming years, an extensive development of offshore wind energy will present a clear trend of clustering offshore wind farms (OWFs). Offshore grid is a novel concept proposed to address the problem of connecting OWFs and integrating large offshore wind energy into the regional onshore power system economically and reliably. Compared with traditional electrical systems in large OWFs, the connection of offshore grid demonstrates some new features. This paper presents a tri-level optimization strategy to optimize offshore grid planning while considering onshore network expansions simultaneously. The proposed strategy turns the optimization of these two complicated electrical networks into three nested optimization models: the 'Point of common coupling (PCC) optimizer', 'Offshore substation (OS) optimizer', and 'Offshore grid optimizer'. An engineering case from the East China Sea is discussed to illustrate the effectiveness of the proposed methodology. The results show that offshore grid demonstrates better overall economic efficiency and less marine corridor consumption. In addition, the proposed methodology can make the integration of large OWFs more friendly to onshore networks. (c) 2021 Elsevier Ltd. All rights reserved.

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