Int. J. of Intelligent Engineering Informatics   »   2016 Vol.4, No.3/4

 

 

Title: Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm

 

Authors: Sanaa Faquir; Ali Yahyaouy; Hamid Tairi; Jalal Sabor

 

Addresses:
LIIAN Laboratory, Computer Science Department, College of Science Dhar Mehraz, Sidi Mohamed Ben Abdallah University, Fes, Morocco
LIIAN Laboratory, Computer Science Department, College of Science Dhar Mehraz, Sidi Mohamed Ben Abdallah University, Fes, Morocco
LIIAN Laboratory, Computer Science Department, College of Science Dhar Mehraz, Sidi Mohamed Ben Abdallah University, Fes, Morocco
Department of AEEE, Ecole Nationale Supérieure d'Arts et Métiers (ENSAM), Meknes, Morocco

 

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%.

 

Keywords: hybrid renewable energy systems; HRES; energy management; fuzzy logic controllers; FLC; fuzzy control; load demand; PV systems; photovoltaic; wind energy; wind power; solar energy; solar power; battery systems; solar panels; wind turbines; Morocco; battery SoC; state of charge.

 

DOI: 10.1504/IJIEI.2016.10001293

 

Int. J. of Intelligent Engineering Informatics, 2016 Vol.4, No.3/4, pp.229 - 244

 

Submission date: 30 Sep 2015
Date of acceptance: 17 Feb 2016
Available online: 16 Nov 2016

 

 

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