DocumentCode :
2601259
Title :
Optimization of electrical connection scheme for large offshore wind farm with genetic algorithm
Author :
Lingling, Huang ; Yang, Fu ; Xiaoming, Guo
Author_Institution :
Sch. of Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, 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 :
genetic algorithms; investment; offshore installations; power system interconnection; wind power plants; electrical connection scheme; genetic algorithm; investment cost; offshore wind farms; sustainable energy sources; Arithmetic; Cost function; Genetic algorithms; Investments; Power system planning; Substations; 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.2009.5348118
Filename :
5348118
Link To Document :
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