A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures

被引:32
|
作者
Rodrigues, Silvio [1 ]
Restrepo, Carlos [2 ]
Katsouris, George [1 ]
Teixeira Pinto, Rodrigo [3 ]
Soleimanzadeh, Maryam [4 ]
Bosman, Peter [5 ]
Bauer, Pavol [1 ]
机构
[1] Delft Univ Technol, Energy Convers & Storage Grp, DC Syst, Mekelweg 4, NL-2628 CD Delft, Netherlands
[2] Univ Talca, Dept Ind Technol, Talca 3340000, Chile
[3] CITCEA UPC, Carrer Jordi Girona 31, Barcelona 08034, Spain
[4] ECN, Westerduinweg 3, NL-1755 LE Petten, Netherlands
[5] Ctr Wiskunde & Informat, Sci Pk 123, NL-1098 XG Amsterdam, Netherlands
关键词
offshore wind farms; wind farm designers; trade-offs; multi-objective optimization; economic functions; design parameters; POWER-GENERATION; DESIGN; TURBINES; TRENDS;
D O I
10.3390/en9030216
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the respective electrical infrastructures. The proposed framework optimizes simultaneously different goals (e.g., annual energy delivered and investment cost) which leads to efficient trade-offs during the design phase, e.g., reduction of wake losses vs collection system length. Furthermore, the proposed framework is independent of economic assumptions, meaning that no a priori values such as the interest rate or energy price, are needed. The proposed framework was applied to the Dutch Borssele areas I and II. A wide range of OWF layouts were obtained through the optimization framework. OWFs with similar energy production and investment cost as layouts designed with standard sequential strategies were obtained through the framework, meaning that the proposed framework has the capability to create different OWF layouts that would have been missed by the designers. In conclusion, the proposed multi-objective optimization framework represents a mind shift in design tools for OWFs which allows cost savings in the design and operation phases.
引用
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页数:42
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