DocumentCode :
3600633
Title :
Optimization of the Connection Topology of an Offshore Wind Farm Network
Author :
Dahmani, Ouahid ; Bourguet, Salvy ; Machmoum, Mohamed ; Guerin, Patrick ; Rhein, Pauline ; Josse, Lionel
Author_Institution :
Inst. de Rech. en Energie Electr. de Nantes Atlantique, Univ. de Nantes, St. Nazaire, France
Volume :
9
Issue :
4
fYear :
2015
Firstpage :
1519
Lastpage :
1528
Abstract :
In this paper, an approach based on a genetic algorithm is presented in order to optimize the connection topology of an offshore wind farm network. The main objective is to introduce a technique of coding a network topology to a binary string. The first advantage is that the optimal connections of both middle- and high-voltage alternating-current grids are considered, i.e., the radial clustering of wind turbines, the number and locations of the offshore electrical substations, and the number of high-voltage cables. The second improvement consists of removing infeasible network configurations as designs with crossing cables and thereby reduces the search space of solutions.
Keywords :
binary codes; encoding; genetic algorithms; offshore installations; power cables; power generation planning; power grids; substations; wind power plants; wind turbines; binary string; connection topology; genetic algorithm; high-voltage alternating-current grids; high-voltage cables; middle-voltage alternating-current grids; network topology; offshore electrical substations; offshore wind farm network; optimal connections; radial clustering; wind turbines; Investment; Network topology; Optimization; Power cables; Substations; Topology; Wind farms; Genetic algorithm (GA); Prim´s algorithm; network planning; offshore wind farm (OWF); optimization;
fLanguage :
English
Journal_Title :
Systems Journal, IEEE
Publisher :
ieee
ISSN :
1932-8184
Type :
jour
DOI :
10.1109/JSYST.2014.2330064
Filename :
6887302
Link To Document :
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