Energy Management In An Electrical Hybrid System Using A Fuzzy Inference Control System

被引:0
|
作者
Faquir, Sanaa [1 ]
Yahyaouy, Ali [1 ]
Tairi, Hamid [1 ]
Sabor, Jalal [2 ]
机构
[1] Sidi Mohamed Ben Abdallah Univ, Coll Sci Dhar Mehraz, Dept Comp Sci, Fes, Morocco
[2] ENSAM, Automat Elect Elect & Electromecan Dept AEEE, Meknes, Morocco
来源
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IEEE-IESM 2013) | 2013年
关键词
PV energy; Wind energy; Hybrid system; energy management; fuzzy logic control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid increment of the population and the consummation of energy in the world as well as the depletion of fossil resources generated a significant increment in the prices of natural resources such as petrol and natural gaz. This elevation led to the use of hybrid electrical systems. The use of these multi sources systems progressed a lot in different industrial sectors. Between all sources of energy that we have, the batteries and renewable sources of energy such as photovoltaic and wind contain the highest specified energy. In contrast to fossil energy, renewable energy must be harvested when it is available, and to maintain a balance between production and consumption, some sort of energy storage is needed or at least of value. This paper presents a study of an electrical hybrid system using two important renewable energies: solar and wind energies, and investigates a control strategy using fuzzy logic to ensure and manage, in an adequate and automated way, the flow of energy in the system and the two storage devices used: batteries and super capacitors.
引用
收藏
页码:158 / 162
页数:5
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