DocumentCode :
136852
Title :
Grid optimization for offshore wind farm layout and substation location
Author :
Won-Sik Moon ; Jae-Chul Kim ; Ara Jo ; Jong-Nam Won
Author_Institution :
Soongsil Univ., Seoul, South Korea
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
6
Abstract :
The investment and operation costs of offshore wind farms (OWFs) are very high because the level of technology is still at an infancy stage as well as because of the marine conditions. Therefore, reducing the design costs of a power grid system for OWFs is very important for economic feasibility. In particular, optimizing the layout design of a wind farm system is needed to minimize the project cost. This study deals with an optimization programming of an electric power system layout for OWFs with offshore substation. The proposed optimization method can reduce the total layout cost lower compared with existing methods. A genetic algorithm is used as an optimization method, and an algorithm for layout optimization is presented. On the basis of this method, a case study is conducted to compare our proposed method with the existing methods by simulating a 100-MW OWF.
Keywords :
genetic algorithms; investment; offshore installations; power generation economics; power generation planning; power grids; substations; wind power plants; design cost reduction; genetic algorithm; grid optimization; layout optimization; offshore wind farm layout; offshore wind farm operation costs; optimization programming; power 100 MW; substation location; wind farm investment; Biological cells; Layout; Optimization; Power cables; Substations; Wind speed; Wind turbines; GA; Layout; Offshore wind farm; Optimization; Power Grid; Substation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
Type :
conf
DOI :
10.1109/ITEC-AP.2014.6941124
Filename :
6941124
Link To Document :
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