Optimization of internal electric connection system of large offshore wind farm with hybrid genetic and immune algorithm

被引：0
|
作者：
Li, Dong Dong [1 ]
He, Chao
Fu, Yang [1 ]
机构：
[1] Shanghai Univ Elect Power, Sch Power & Automat Engn, Shanghai 200090, Peoples R China
来源：
2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6 | 2008年
关键词：
genetic algorithm; immune algorithm; internal electric connection system; optimization; offshore wind farm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper first presents development tendency and the importance of internal electric connection system of offshore wind farms. As internal electric connection system plays an important role in reliable operation of wind farm and holds considerable proportion in total investment, optimization of the system is one of the key problems in development of offshore wind farms. Based on analysis of main issues of the problem, optimization model is proposed and explained in this paper. An optimization approach based on hybrid genetic and immune algorithm is presented to search the optimal solution. The model and its solution method are then checked on a practical offshore wind farm near Shanghai, China. The results show that the optimization approach is suitable and valid.
引用
收藏
页码：2476 / 2481
页数：6
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