scholarly journals Maximum power point tracking in photovoltaic systems

2019 ◽  
Vol 28 ◽  
pp. 01021
Author(s):  
Grażyna Frydrychowicz-Jastrzębska
Keyword(s):  
Block Diagram ◽  
Mechanical Energy ◽  
Electric Energy ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Maximum Efficiency ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The subject of the analysis was the optimisation of interoperation between the photovoltaic battery (PV) and DC motor, which drives a fan, with respect to the maximum efficiency of conversion of the electric energy into mechanical energy. Based on the block diagram, a mathematical model of this circuit was developed to ensure the mutual matching between the Maximum Power Point (MPP) of the battery and the receiver operation point. A computer simulation of the battery characteristics was conducted taking into account the changing MPP location on the characteristic vs. changes in solar radiation and temperature. The issue was considered for the optimal motor excitation coefficient, both changing and averaged in time. The energy conversion efficiency was determined for selected PV modules, as well as time.

scholarly journals Implementation of Algorithm on MPPT

2021 ◽  
Vol 9 (VI) ◽  
pp. 5473-5478
Author(s):  
Bharat Khandelwal
Keyword(s):  
Tracking System ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Efficiency ◽  
Maximum Power Point ◽  
Good Efficiency ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

Solar energy is a potential energy source in India. A photovoltaic is a efficient way to cure the energy in a huge amount and keep to gather that kind of energy for future, and the PV must have good efficiency. The maximum power point tracking (MPPT) is a process that tracks one maximum power point from array input, in which the ratio varies between the voltage and current delivered to get the most power it can. Several algorithms have been developed for extracting maximum power. To increase its efficiency many MPPT techniques are used. Incremental conductance is one of the important techniques in this system and because of its higher steady-state accuracy and environmental adaptability it is a widely implemented tracked control strategy. This research was aimed to explore the performance of a maximum power point tracking system that implements the Incremental Conductance (IC) method. The IC algorithm was designed to control the duty cycle of the Buck-Boost converter and to ensure the MPPT work at its maximum efficiency. From the simulation, the IC method shows better performance and also has a lower oscillation.

Implementation in Arduino of MPPT Using Variable Step Size P&O Algorithm in PV Installations

2017 ◽  
Vol 8 (1) ◽  
pp. 434 ◽  
Author(s):  
Mustapha Elyaqouti ◽  
Safa Hakim ◽  
Sadik Farhat ◽  
Lahoussine Bouhouch ◽  
Ahmed Ihlal
Keyword(s):  
Electric Energy ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Variable Step ◽  
Power Point

In order to maximize the electric energy production of a photovoltaic generator (PVG), the maximum power point tracking (MPPT) methods are usually used in photovoltaic systems. The principle of these techniques is to operate the PVG to the maximum power point (MPP), which depends on the environmental factors, such as solar irradiance and ambient temperature, ensuring the optimal power transfer between PVG and load. In this paper, we present the implementation of two digital MPPT commands using the Arduino Mega type. The two proposed MPPT controls are based on the algorithm of perturb and observe (P&O), the first one with fixed perturbation step and the second one with two perturbations step varying with some conditions. The experimental results show that the P&O algorithm with variable step perturbation gives good results compared to the P&O algorithm with fixed perturbation step in terms of the time response and the oscillations around the MPP.

scholarly journals Photovoltaic and Thermoelectric Generator Combined Hybrid Energy System with an Enhanced Maximum Power Point Tracking Technique for Higher Energy Conversion Efficiency

2021 ◽  
Vol 13 (6) ◽  
pp. 3144
Author(s):  
Kanagaraj N.
Keyword(s):  
Fuzzy Logic Controller ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Hybrid Energy ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point Tracking ◽  
Pv Module ◽  
Power Point

In this paper, the design and performance investigation of the hybrid photovoltaic–thermoelectric generator (PV–TEG) system with an enhanced fractional order fuzzy logic controller (FOFLC)-based maximum power point tracking (MPPT) technique is presented. A control strategy of the variable incremental conduction (INC) method is employed using FOFLC for the MPPT control technique to efficiently harvest the maximum power from the PV module. The fractional factor α used in the MPPT control algorithm is a supporting fuzzy logic controller (FLC) for the accurate tracking of the maximum power point (MPP) and to maintain the constant output after reaching the MPP. In the proposed system configuration, the TEG is mounted with the PV panel for generating the extra electrical power using the waste heat energy produced on the PV panel due to the incident solar irradiation. The PV and TEG are connected electrically in series to increase output voltage level and thereby improve the power output. The hybrid energy module has better energy conversion efficiency when compared to the standalone PV array. The performance of the proposed MPPT technique is studied for the PV–TEG hybrid energy module under various thermal and electrical operating conditions using a MATLAB software-based simulation. The results of the FOFLC-based MPPT technique are compared with the conventional perturb and observe (P&O) and FLC-based P&O methods. The proposed MPPT technique confirms its effectiveness in extracting the maximum power in terms of speed and accuracy. Moreover, the PV and TEG combined system provides higher energy efficiency than the individual PV module.

Design a Optimum MPPT Controller for Solar Energy System

2016 ◽  
Vol 2 (3) ◽  
pp. 545 ◽  
Author(s):  
F. R. Islam ◽  
K. Prakash ◽  
K. A. Mamun ◽  
A. Lallu ◽  
R. Mudliar
Keyword(s):  
Solar Energy ◽  
Photovoltaic Cell ◽  
Energy System ◽  
Maximum Power ◽  
Maximum Efficiency ◽  
Maximum Power Point ◽  
Good Efficiency ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

<p>Solar energy is compared to be the best potential source of renewable energy in Pacific region. For this reason a photovoltaic cell is needed to harvest this kind of energy, gathering the most of it and the PV having a good efficiency.  The maximum efficiency is achieved when the PV works at its Maximum Power Point which entirely depends on the irradiation and temperature. This paper proposes a new design of hybrid Maximum Power Point Tracking and a comparative study is made with various existing MPPT techniques which include Perturb and Observe method, Incremental Conductance and Fuzzy Logic. From the comprehensive comparison study between existing MPPT technique and the proposed MPPT technique/theory, a hardware setup was demonstrated to verify the proposed design by charge controller in photovoltaic systems to which maximize the output power under various lighting conditions. The design is based on the computed results using the buck-boost DC-DC conveter. From the simulation, the proposed method tends to show better performance with almost no oscillations around the MPP.</p>

scholarly journals Modelling and Control of Photovoltaic System using the incremental conductance method for maximum power point tracking

2019 ◽  
Vol 01 (02) ◽  
pp. 191-197
Author(s):  
Elabbes Maatallah ◽  
Brahim Berbaoui ◽  
◽  
Keyword(s):  
Maximum Power Point Tracking ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Efficiency ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

This paper presents the modeling and simulation of the electrical operation of a photovoltaic (PV) system. A DC-DC boost converter was chosen for the regulation of the output voltage at the peak power point while also providing a constant voltage. Maximum Power Point Tracker (MPPT) control that allows extraction of maximum available power from the photovoltaic (PV) panel has been included. The maximum efficiency is achieved when PV works at its maximum power point which depends on insolation and temperature. Since the insolation and temperature always change with time, a PV system which able to track the maximum power point needs to be developed to produce more energy. This research was aimed to explore the performance of a maximum power point tracking system which implements Incremental Conductance (IC) method. The IC algorithm was designed to control the duty cycle of Boost converter and to ensure the MPPT control work at its maximum efficiency. The simulation results obtained with Matlab / Simulink show the instantaneous oscillation of the operating point of the photovoltaic module around the MPP independently to weather changes, the proper functioning of the converter which provides a voltage at its output greater than that supplied by the PV generator, (a yield of the order of 90%) and the low power losses supplied by this module (less than 10%) allowed to conclude that the PV system simulated during this work was working properly and was satisfactory

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