Metaheuristic-based Design and Optimization of Offshore Wind Farms Collection Systems

Daniel Hermosilla Minguijon*, Juan-Andrés Pérez-Rúa, Kaushik Das, Nicolaos Antonio Cutululis

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    Abstract

    An optimization framework for automated design of offshore wind farms collection systems is proposed in this paper. The core of the framework consists of a metaheuristic algorithm, namely a Genetic Algorithm (GA). The GA is designed for searching high-quality feasible solutions in terms of the capital expenditure (CAPEXcs); a subsequent step runs a power flow in order to calculate electrical power losses for estimating the collection systems share on the Levelized Cost of Energy (LCOEcs). Finally, after several executions of the full framework, the feasible solution bringing the cheapest LCOEcs is selected. The main inputs are the coordinate’s location of the wind turbines and the offshore substation (OSS), wind power production time series, and the set of considered cables for the collection system design. The proposed approach offers a full search space exploration for feasible solutions, while taking into account cables capacities and disallowing for cable crossings. The results show that this framework can find feasible solutions improving benchmark methods by 8%.
    Original languageEnglish
    Title of host publicationProceedings of the 13th IEEE PowerTech Milano 2019: Leading innovation for energy transition
    Number of pages6
    PublisherIEEE
    Publication date2019
    ISBN (Print)978-1-5386-4723-3
    ISBN (Electronic)978-1-5386-4722-6
    DOIs
    Publication statusPublished - 2019
    Event13th IEEE PowerTech Milano 2019: Leading innovation for energy transition - Bovisa Campus of Politecnico di Milano, Milano, Italy
    Duration: 23 Jun 201927 Jun 2019
    Conference number: 13
    http://ieee-powertech.org/

    Conference

    Conference13th IEEE PowerTech Milano 2019
    Number13
    LocationBovisa Campus of Politecnico di Milano
    Country/TerritoryItaly
    CityMilano
    Period23/06/201927/06/2019
    OtherPowerTech is the anchor conference of the IEEE Power & Energy Society (PES) in Europe
    Internet address

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