DocumentCode :
1312250
Title :
Optimal Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach
Author :
González-Longatt, Francisco M. ; Wall, Peter ; Regulski, Pawel ; Terzija, Vladimir
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
Volume :
6
Issue :
1
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
164
Lastpage :
172
Abstract :
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.
Keywords :
genetic algorithms; power cables; transformer substations; wind power plants; cables; electrical network; modified genetic algorithm approach; offshore wind farm; optimal electric network design; radial arrays; transformer substations; Biological cells; Encoding; Investments; Optimization; Substations; Wind farms; Wind turbines; Electric distribution system; genetic algorithm; offshore wind farm; optimization;
fLanguage :
English
Journal_Title :
Systems Journal, IEEE
Publisher :
ieee
ISSN :
1932-8184
Type :
jour
DOI :
10.1109/JSYST.2011.2163027
Filename :
6007042
Link To Document :
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