DocumentCode :
2670272
Title :
A type-1 fuzzy logic algorithm to manage the flow of energy in a stand-alone PV/wind/battery hybrid system
Author :
Faquir, Sanaa ; Yahyaouy, Ali ; Tairi, Hamid ; Sabor, Jalal
Author_Institution :
Comput. Sci. Dept., Sidi Mohamed Ben Abdallah Univ., Fes, Morocco
fYear :
2015
fDate :
25-26 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
The significant increase in the prices of conventional energy sources and the public awareness of the need to reduce global warming have encouraged many countries to develop new systems based on renewable energies. Combining renewable energy sources with storage units to form a multi source system can provide a more economic, and reliable supply of electricity in all load demand conditions compared to a single-use of such systems. The energy balance between production and consumption should be carefully conducted while choosing the storage method to ensure the availability of power on demand and improve the dynamic behavior of the hybrid system. This paper presents a study of a HRES composed of Photovoltaic (PV) solar panels and a wind turbine as primary energy sources and batteries as storage units and proposes a computer algorithm based on type-1 fuzzy logic to control the energy between production and consumption and ensure the availability of power on demand.
Keywords :
air pollution control; demand side management; fuzzy control; global warming; hybrid power systems; load flow control; power consumption; power generation control; power generation reliability; power supply quality; secondary cells; solar cell arrays; wind turbines; PV solar panel; battery storage unit; electricity supply reliability; energy flow manage; global warming reduction; load demand; multisource system; photovoltaic solar panel; power consumption; power production; public awareness; renewable energy sources; stand-alone hybrid power system; type-1 fuzzy logic algorithm; wind turbine; Batteries; Fuzzy logic; Renewable energy sources; System-on-chip; Wind; Wind energy; Wind turbines; Hybrid Renewable energy system; Photovoltaic panels; computer algorithm; energy management; type-1 fuzzy logic; wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Computer Vision (ISCV), 2015
Conference_Location :
Fez
Print_ISBN :
978-1-4799-7510-5
Type :
conf
DOI :
10.1109/ISACV.2015.7106186
Filename :
7106186
Link To Document :
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