Hybrid Renewable Energy System based on Intelligent Optimization Techniques

被引：0

作者：

Donado Mercado, Katheryn ^{[1
]}

Jimenez, Jamer ^{[1
]}

Quintero M, Christian G. ^{[1
]}

机构：

[1] Univ Norte, Dept Elect & Elect Engn, Barranquilla, Colombia

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2016年

关键词：

Genetic algorithms; optimization techniques; renewable energy systems; solar energy; wind energy; OPTIMAL-DESIGN; STORAGE;

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：

Renewable Energy Systems (RES) are essential for sustainable development of the society. Since the nature of some RES is intermittent, the reliability of a RES increases, working with hybrid renewable energy systems. This paper proposes to use intelligent technologies to optimally size a hybrid renewable energy system using solar and wind power. User will establish the system configuration, providing or not grid connection, battery storage and the optimization approaches. Experimental results and conclusions emphasizing the advantages of intelligence optimization techniques for the improvement of hybrid renewable energy systems are presented.

引用

页码：661 / 666

页数：6

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