DocumentCode
2603131
Title
Optimization of electrical connection scheme for large offshore wind farm with genetic algorithm
Author
Lingling, Huang ; Yang, Fu ; Xiaoming, Guo
Author_Institution
School of Power and Automation Engineering, Shanghai University of Electric Power, 2103 Ping Liang Road, Yang Pu District, Shanghai, 200090 China
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
4
Abstract
Offshore wind farms have great potential as large-scale sustainable energy sources for the production of electricity. Utilization of offshore wind farms requires a reliable and efficient transmission system. The increased interest in offshore wind farms accentuates the need to focus attention on the economic issues of the electrical system. Based on analysis of existing offshore wind farm schemes and the investment cost of electrical components, optimization model is proposed and explained in this paper. An optimization approach based on genetic algorithm is presented to search for the optimum connection scheme. A calculation example shows that the differences among different electric connection schemes are evident, and by use of genetic algorithm the optimal connection scheme can be found effectively.
Keywords
Arithmetic; Cost function; Genetic algorithms; Investments; Substations; Topology; Voltage; Wind energy; Wind farms; Wind turbines; Optimization; electric connection scheme; genetic algorithm; offshore wind farm;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5348207
Filename
5348207
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