Optimization of the Connection Topology of an Offshore Wind Farm Network

被引:47
作者
Dahmani, Ouahid [1 ,2 ]
Bourguet, Salvy [1 ]
Machmoum, Mohamed [1 ]
Guerin, Patrick [1 ]
Rhein, Pauline [2 ]
Josse, Lionel [2 ]
机构
[1] Univ Nantes, Inst Rech Energie Elect Nantes Atlantique, F-44602 St Nazaire, France
[2] STX France Solut, Res & Dev Marine Renewable Energy, F-44613 St Nazaire, France
来源
IEEE SYSTEMS JOURNAL | 2015年 / 9卷 / 04期
关键词
Genetic algorithm (GA); network planning; offshore wind farm (OWF); optimization; Prim's algorithm; SYSTEM; DESIGN;
D O I
10.1109/JSYST.2014.2330064
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
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 middleand 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.
引用
收藏
页码:1519 / 1528
页数:10
相关论文
共 26 条
[1]
[Anonymous], PERFORMANCE COMPARIS
[2]
[Anonymous], 2009, 2009 INT C SUST POW
[3]
[Anonymous], P 8 INT C EVER MONT
[4]
[Anonymous], NAT C JCGE SAINT NAZ
[5]
[Anonymous], 2009, P 13 EUR C POW EL AP
[6]
[Anonymous], 2005, THESIS
[7]
[Anonymous], INT RES J APPL BASIC
[8]
Stochastic Optimization Model for Electric Power System Planning of Offshore Wind Farms [J].
Banzo, Marcos ;
Ramos, Andres .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) :1338-1348
[9]
Bilbao M., 2009, 2009 2 INT S LOGISTI, P1
[10]
Dahmani O., 2013, 2013 IEEE grenoble conference, P1