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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