Fuzzy Logic Control to Track the Maximum Power for Photovoltaic System

2021 ◽  
pp. 277-284
Author(s):  
Kantas Walid ◽  
Mendaci Sofiane ◽  
Gasmi Hamza
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Logic Control

scholarly journals Comparative analysis of Maximum Power Point Tracking Algorithms for Photovoltaic Applications

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Power Point

Currently, photovoltaic system has gained importance in electrical power generation system, since it is a clean and renewable energy source. An important characteristic of photovoltaic panels is that the available maximum power is provided only in a single operating point called maximum power point. But the position of maximum power point is not fixed and it moves according to the varying irradiance, varying temperature and the load. This requires a mechanism called maximum power point tracking (MPPT) so that maximum power is obtained effectively. In the literature, many classical methods have been developed and implemented to track the maximum power point. The main objective of this paper is to study and analyze the classical techniques such as Perturb and Observe (P&O), Incremental Conductance (IC) and Fuzzy Logic Control (FLC) algorithms and propose an Adaptive Fuzzy Logic Control (AFLC) for MPPT. The performance of AFLC is compared with the conventional MPPT techniques for varying irradiance. The significance of these methods are studied by implementing the algorithm in MATLAB. The experimental results show the effectiveness and feasibility of the proposed method and the results are verified. The results reveal that the adaptive FLC can quickly track change of MPP for various light intensity and delivers higher power compared to the classical algorithms.

scholarly journals Simulation of single phase photovoltaic system based on fuzzy logic control with multilevel inverter

2019 ◽  
Vol 107 ◽  
pp. 02003 ◽  
Author(s):  
Ezzaldden Raweh ◽  
Wei Pi ◽  
Omar Busati ◽  
Abdul Rehman ◽  
Saif Mubbarak ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Fuzzy Logic Control ◽  
Single Phase ◽  
Pulse Width Modulation ◽  
Harmonic Distortion ◽  
Optimal Operation ◽  
Multilevel Inverter ◽  
Photovoltaic System ◽  
Logic Control

To control the solar power, reliability and stability are two main challenges. In addition, the total harmonic distortion (THD) must be within limits for optimal operation. In an inverter, the harmonics are produced during the conversion of DC power to AC power, which will affect the power electronic devices. Therefore, to overcome such challenges in high voltage and high power systems multilevel inverter (MLI) topology is more useful. Such type of inverters uses various DC voltage levels to generate the stepped AC at its output, approaching the sinusoidal shape. The cascaded H-bridge, capacitor-clamped, and diode-clamped are the most commonly used multilevel inverters topologies. For photovoltaic (PV) usage, cascaded H-bridge (CHB) MLI is more adaptive among the three topologies, where for each H-bridge unit; each PV model behaves as an isolated DC source. This paper specifically focused on the simulation of PV power as a source to the system and displayed the potential of a single-phase 11-level CHB inverter. For switching the IGBT devices, sinusoidal pulse width modulation (SPWM) is applied. Moreover, the fuzzy logic control (FLC) is introduced to improve the power quality. FLC reduce the THD via finding the appropriate set of IGBT switch signals. To show the improvement in the operation and reduction in the complex harmony signal effects of the CHB 11-level inverter, the proposed system is designed in Matlab/Simulink software. Finally, the results show that the dynamic behavior of the FLC is much better than the traditional proportional integral derivative (PID) controller.

Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

2005 ◽  
Vol 30 (11) ◽  
pp. 1771-1788 ◽  
Author(s):  
Nopporn Patcharaprakiti ◽  
Suttichai Premrudeepreechacharn ◽  
Yosanai Sriuthaisiriwong
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power Point Tracking ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Adaptive Fuzzy Logic ◽  
Power Point
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