Optimal Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach

被引:131
作者
Gonzalez-Longatt, Francisco M. [1 ]
Wall, Peter [1 ]
Regulski, Pawel [1 ]
Terzija, Vladimir [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M60 1QD, Lancs, England
来源
IEEE SYSTEMS JOURNAL | 2012年 / 6卷 / 01期
基金
英国工程与自然科学研究理事会;
关键词
Electric distribution system; genetic algorithm; offshore wind farm; optimization; TRAVELING SALESMAN PROBLEM; SYSTEM;
D O I
10.1109/JSYST.2011.2163027
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The increasing development of large-scale offshore wind farms around the world has caused many new technical and economic challenges to emerge. The capital cost of the electrical network that supports a large offshore wind farm constitutes a significant proportion of the total cost of the wind farm. Thus, finding the optimal design of this electrical network is an important task, a task that is addressed in this paper. A cost model has been developed that includes a more realistic treatment of the cost of transformers, transformer substations, and cables. These improvements make this cost model more detailed than others that are currently in use. A novel solution algorithm is used. This algorithm is based on an improved genetic algorithm and includes a specific algorithm that considers different cable cross sections when designing the radial arrays. The proposed approach is tested with a large offshore wind farm; this testing has shown that the proposed algorithm produces valid optimal electrical network designs.
引用
收藏
页码:164 / 172
页数:9
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