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Topological Optimization of an Offshore-Wind-Farm Power Collection System Based on a Hybrid Optimization Methodology

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253454" target="_blank" >RIV/61989100:27240/23:10253454 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2077-1312/11/2/279" target="_blank" >https://www.mdpi.com/2077-1312/11/2/279</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/jmse11020279" target="_blank" >10.3390/jmse11020279</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Topological Optimization of an Offshore-Wind-Farm Power Collection System Based on a Hybrid Optimization Methodology

  • Original language description

    This paper proposes a hybrid optimization method to optimize the topological structure of an offshore-wind-farm power collection system, in which the cable connection, cable selection and substation location are optimally designed. Firstly, the optimization model was formulated, which integrates cable investment, energy loss and line construction. Then, the Prim algorithm was used to initialize the population. A novel hybrid optimization, named PSAO, based on the merits of the particle swarm optimization (PSO) and aquila optimization (AO) algorithms, was presented for topological structure optimization, in which the searching characteristics between PSO and AO are exploited to intensify the searching capability. Lastly, the proposed PSAO method was validated with a real case. The results showed that compared with GA, AO and PSO algorithms, the PSAO algorithm reduced the total cost by 4.8%, 3.3% and 2.6%, respectively, while achieving better optimization efficiency. (C) 2023 by the authors.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Marine Science and Engineering

  • ISSN

    2077-1312

  • e-ISSN

    2077-1312

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    16

  • Pages from-to

  • UT code for WoS article

    000941352100001

  • EID of the result in the Scopus database

    2-s2.0-85149149060