scholarly journals Improved MPPT controls for a standalone PV/wind/battery hybrid energy system

2020 ◽  
Vol 11 (2) ◽  
pp. 988 ◽  
Author(s):  
Otmane Zebraoui ◽  
Mostafa Bouzi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Sliding Mode ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Performance ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Logic Control ◽  
Power Point

In this paper, we present the modeling, optimization and control of a standalone hybrid energy system combining the photovoltaic and wind renewable energy sources to supply a dc electrical load, with storage batteries as a backup source. With the aim of improving the energy performance of the proposed system, we developed an MPPT controller based on new hybrid and robust approaches to evolve the power quality produced by both PV and Wind subsystems. For the PV subsystem, the proposed approach is based on the methods perturb and observe (P&O), sliding mode control (SMC) and fuzzy logic control (FLC). For the Wind subsystem, the proposed technique is based on the hill climbing search algorithm (HCS) and the fuzzy logic control. Also, to evaluate the efficiency of the developed controls and to analyze the behavior of each system during their maximum power point tracking, a comparison study was carried out with conventional techniques and the simulations are performed under varying weather conditions. The simulations results show the good performance of the proposed MPPT controls compared to other methods with better response time, a higher optimal power point and negligible oscillations.

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.

A Review on Design and Development of high Reliable Hybrid Energy Systems with Droop Control Techniques

2016 ◽  
Vol 7 (3) ◽  
pp. 974
Author(s):  
G. Srinivasa Rao ◽  
K. Harinadha Reddy
Keyword(s):  
Energy Systems ◽  
Energy System ◽  
Power Sharing ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Droop Characteristic ◽  
Power Point ◽  
Wind Energy Systems

<p>Hybrid Energy system is a combination of two or more different types of energy resources. Now a day this hybrid energy system plays key role in various remote area power applications. Hybrid energy system is more reliable than single energy system. This paper deals with high reliable hybrid energy system with solar, wind and micro hydro resources. The proposed hybrid system cable of multi mode operation and high reliable due to non communicated based controllers (Droop Characteristic Control) are used for optimal power sharing.  size of battery can be reduced because hydro used as back up source and Maximum power point Tracking also applied to solar and wind energy systems.</p>

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