Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm Online publication date: Mon, 28-Nov-2016
by Sanaa Faquir; Ali Yahyaouy; Hamid Tairi; Jalal Sabor
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 4, No. 3/4, 2016
Abstract: This paper presents a computer algorithm based on fuzzy logic control to manage the flow of energy in a stand-alone PV/wind/battery hybrid system. The system is composed of 16 photovoltaic (PV) solar panels, one wind turbine and two batteries. The solar and wind energies were combined together to increase system's efficiency. Batteries were used to ensure the availability of power on demand and improve the dynamic behaviour of the system. The proposed algorithm uses fuzzy logic to control the energy between production and consumption and ensure the availability of power on demand for an isolated house in the city of Essaouira in Morocco. The algorithm was tested on real weather data taken for the region of Essaouira in the month of April and was able to determine the status of the battery for each hour. The batteries state of charge was maintained between 30% and 80%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook