Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System

2015 ◽  
Vol 4 (3) ◽  
pp. 10-24 ◽  
Author(s):  
Sanaa Faquir ◽  
Ali Yahyaouy ◽  
Hamid Tairi ◽  
Jalal Sabor
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Wind Power ◽  
Input Parameter ◽  
Energy System ◽  
System Stability ◽  
Industrial Sectors ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

The use of multi sources systems of energy progressed significantly in different industrial sectors. Between all the existing sources of energy, batteries and renewable sources, such as photovoltaic and wind, contain the highest specified energy. However, solar and wind energies are not available all the time, their performance is affected by unpredictable weather changes and therefore, it is difficult to control as it is not always feasible to obtain an accurate mathematical model of the controlled system. Also, uncertainty of the wind power can affect system stability. This paper presents a computer algorithm based on fuzzy logic control (FLC) to estimate the wind and solar energies in a hybrid renewable energy system from natural factors. The wind power was estimated using the wind speed as an input parameter and the solar power was estimated using the temperature and the lighting as input parameters.

Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System

2017 ◽  
pp. 1220-1235 ◽  
Author(s):  
Sanaa Faquir ◽  
Ali Yahyaouy ◽  
Hamid Tairi ◽  
Jalal Sabor
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Wind Power ◽  
Input Parameter ◽  
Energy System ◽  
System Stability ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Weather Changes ◽  
Hybrid Renewable Energy

The use of multi sources systems of energy progressed significantly in different industrial sectors. Between all the existing sources of energy, batteries and renewable sources, such as photovoltaic and wind, contain the highest specified energy. However, solar and wind energies are not available all the time, their performance is affected by unpredictable weather changes and therefore, it is difficult to control as it is not always feasible to obtain an accurate mathematical model of the controlled system. Also, uncertainty of the wind power can affect system stability. This paper presents a computer algorithm based on fuzzy logic control (FLC) to estimate the wind and solar energies in a hybrid renewable energy system from natural factors. The wind power was estimated using the wind speed as an input parameter and the solar power was estimated using the temperature and the lighting as input parameters.

scholarly journals Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1960
Author(s):  
Tatsuya Hinokuma ◽  
Hooman Farzaneh ◽  
Ayas Shaqour
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Economic Analysis ◽  
Fuzzy Logic Control ◽  
Energy System ◽  
Levelized Cost Of Electricity ◽  
Logic Control ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar–wind–hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing MPPTs, the proposed MPPT provides rapid power control with small oscillations. The dynamic simulation of the proposed hybrid renewable energy system (HRES) was performed in MATLAB-Simulink, and the model results were validated using an experimental setup installed in the Chikushi campus, Kyushu University, Japan. The techno-economic analysis (TEA) of the proposed system was performed to estimate the optimal configuration of the proposed HRES, subject to satisfying the required annual load in the Chikushi campus. The results revealed a potential of 2% surplus power generation from the proposed HRES, using the FLC-based MPPT system, which can guarantee a lower levelized cost of electricity (LOCE) for the HRES and significant savings of 2.17 million yen per year. The TEA results show that reducing the cost of the solar system market will lead to a reduction in LCOE of the HRES in 2030.

Fuzzy logic control of a hybrid renewable energy system: A comparative study

2021 ◽  
pp. 0309524X2110287
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Control Strategies ◽  
Storage System ◽  
Energy System ◽  
Renewable Sources ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Modeling Uncertainties ◽  
Hybrid Renewable Energy

In this paper the authors have developed a hybrid renewable energy system. The studied structure comprises a wind energy generator, a shaded photovoltaic generator associated to an inertial storage system. The modeling of the global structure is developed and the control strategy is discussed. Conventional methods have been used to control the renewable sources. However, they may not have a suitable performance if the controlled system contains nonlinearity, as the wind turbine system or the shaded photovoltaic generator. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. Fuzzy logic is used to control both the wind generator’s pitch angle and the maximum power point tracking (MPPT) of a shaded photovoltaic generator. The control of the storage flywheel, associated with the studied structure, to regulate the power supplied by renewable sources is also discussed. The design of the proposed strategy and its comparison with conventional controllers are carried out. The proposed method effectiveness is verified by MATLAB simulation results.

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