scholarly journals Comparative study of new MPPT control approaches for a photovoltaic system

2020 ◽  
Vol 11 (1) ◽  
pp. 251
Author(s):  
Ahmed Haddou ◽  
Nour-Eddine Tariba ◽  
Naima Ikken ◽  
Abdelhadi Bouknadel ◽  
Hafsa EL Omari ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Sliding Mode ◽  
Low Cost ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Point ◽  
Maximum Power Point ◽  
Power Monitoring ◽  
Pv Systems ◽  
Power Point

<p>The output characteristics of the photovoltaic (PV) installation normally depend on solar radiation and ambient temperature, the charge impedance, its maximum power point (MPP) is not constant. In each state of the PV module has a point where it can produce its MPP. Therefore, MPPT (Maximum Power Point Tracking) methods can be used to keep the photovoltaic panel running on its MPP. In this article, the objective was to determine how the different maximum point power monitoring (MPPT) techniques applied to PV systems work. Therefore, two MPPT algorithms are presented and compared under different temperature and radiation conditions: MRAC methods and sliding mode controller combined with the Incremental Conductivity (IC) algorithm. These algorithms are widely used in PV systems because of their easy implementation and low cost. These techniques were analyzed and their performance evaluated using the PSIM software under different types of solar radiation and temperature.</p>

scholarly journals A comparative study on conventional and modern maximum power point tracking algorithms applied to photovoltaic systems

2019 ◽  
Vol 9 (2) ◽  
pp. 29-35
Author(s):  
Rachid Belaidi ◽  
Boualem Bendib ◽  
Djamila Ghribi ◽  
Belkacem Bouzidi ◽  
Mohamed Mghezzi Larafi
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Fuzzy Controller ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Software Environment ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Power Point

The main goal of maximum power point (MPP) tracking control is to extract the maximum photovoltaic (PV) power by finding the optimal operating point under varying atmospheric conditions to improve the efficiency of PV systems. In recent years, the field of tracking the MPP of PV systems has attracted the interest of many researchers from the industry and academia. This research paper presents a comparative study between the modern fuzzy logic based controller and the conventional perturb & observe (P&O) technique. The comparative study was carried out under different weather conditions in order to analyse and evaluate the performance of the PV system. The overall system simulation has been performed using Matlab/Simulink software environment. The simulation results show that the dynamic behaviour exhibited by the modern fuzzy controller outperforms that of the conventional controller (P&O) in terms of response time and damping characteristics.   Keywords: MPPT, photovoltaic system, fuzzy logic control, P&O algorithm.

scholarly journals A new approach to achieve a fast acting MPPT technique for solar photovoltaic system under fast varying solar radiation

2018 ◽  
Vol 7 (2.20) ◽  
pp. 131 ◽  
Author(s):  
T Vijay Muni ◽  
S V N L Lalitha ◽  
B Krishna Suma ◽  
B Venkateswaramma
Keyword(s):  
Solar Radiation ◽  
Duty Cycle ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Load Line ◽  
Power Point ◽  
Solar Photovoltaic System ◽  
Fast Acting

In this paper, a new control technique is proposed to achieve a fast acting Maximum Power Point Tracking (MPPT) Technique for solar photovoltaic system under fast varying solar radiation. Conventional MPPT techniques in PV systems fail to track maximum power point (MPP) under fast varying of sunlight levels. In the proposed MPPT algorithm a fine tuned duty cycle for a DC-DC converter is achieved to avoid the divergence of MPP. This can be achieved from the relationship between the load line and the MPP locus. The MPPT algorithm is used to regulate the duty cycle of a DC-DC converter to ensure that always the load line cuts the I-V curve at MPP. The effectiveness of the proposed PV-MPPT system is demonstrated via case studies and simulation results shows the effective performance of the fast acting MPPT technique in achieving efficient MPP.  

Fuzzy Sliding Mode Control for Photovoltaic System

2016 ◽  
Vol 7 (3) ◽  
pp. 964
Author(s):  
Mounir Derri ◽  
Mostafa Bouzi ◽  
Ismail Lagrat ◽  
Youssef Baba
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Power Point

In this study, a fuzzy sliding mode control (FSMC) based maximum power point tracking strategy has been applied for photovoltaic (PV) system. The key idea of the proposed technique is to combine the performances of the fuzzy logic and the sliding mode control in order to improve the generated power for a given set of climatic conditions. Different from traditional sliding mode control, the developed FSMC integrates two parts. The first part uses a fuzzy logic controller with two inputs and 25 rules as an equivalent controller while the second part is designed for an online adjusting of the switching controller’s gain using a fuzzy tuner with one input and one output. Simulation results showed the effectiveness of the proposed approach achieving maximum power point. The fuzzy sliding mode (FSM) controller takes less time to track the maximum power point, reduced the oscillation around the operating point and also removed the chattering phenomena that could lead to decrease the efficiency of the photovoltaic system.

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