scholarly journals Microcontroller based maximum power point single axis Tracking System

2013 ◽  
Vol 47 (4) ◽  
pp. 427-432 ◽  
Author(s):  
Hafiz Ullah

Positioning a photovoltaic (PV) panel in the plane of maximum irradiation can increase the power output up to 57%. An automatic microcontroller based system for maximum power point tracking (MPPT) was designed and analyzed. The system was based on positioning the PV panel perpendicular to the solar irradiation. Photosensors were used to measure the difference of solar radiation intensity among three planes. The tracking system used an 8051 microcontroller to control a stepper motor which rotated the panel towards the plane with highest radiation intensity. The MPPT system was found to be 25.9% more effective in capturing solar power than a fixed panel with the same rating. This system would be useful to increase the power output of currently operating solar panels with minor modifications in mounting. Bangladesh J. Sci. Ind. Res. 47(4), 427-432, 2012 DOI: http://dx.doi.org/10.3329/bjsir.v47i4.4689

Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah

Background: The solar field on our planet is inexhaustible, which favors the use of photovoltaic electricity which generates no nuisance: no greenhouse gases, no waste. Methods: It is a high value-added energy that is produced directly at the place of consumption through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends strongly on solar irradiation and temperature, which means that a Maximum Power Point Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was simulated at different temperatures and solar irradiations using seven techniques which identify the MPP by different methods. Results: The novelty of this work is that the seven MPPT methods were compared according to a very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control without using the PI controller. The simulation under the PSIM software shows that the FLC, TP, FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method had a low efficiency of 96%. Conclusion: This makes it possible to conclude that the best methods are FLC, HC and IC because they use fewer sensors compared to the rest.


2014 ◽  
Vol 573 ◽  
pp. 89-94
Author(s):  
C. Vimalarani ◽  
N. Kamaraj

Maximum power point tracking techniques play an important role in solar photovoltaic systems to achieve the desired output power. These techniques track maximum power from the solar panel under varying solar irradiation and cell temperature. Among these techniques, Perturb & Observe (P&O) is used by many researchers. Due to the ease of realization and Incremental conductance (INC) algorithm is widely used because of reduced oscillations around maximum power point. In this paper, MATLAB/SIMULINK tool has been used to evaluate the performance of 125W solar PV panel by using these algorithms. The performance comparison of P&O and INC techniques is made and the results exhibit the maximum power tracking from solar PV panel and well regulated output voltage across the load is achieved.


2018 ◽  
Vol 43 ◽  
pp. 01014 ◽  
Author(s):  
Imam Abadi ◽  
Choirul Imron ◽  
Mardlijah ◽  
Ronny D. Noriyati

Characteristic I-V of photovoltaic is depended on solar irradiation and operating temperature. Solar irradiation particularly affects the output current where the increasing solar irradiation will tend to increase the output current. Meanwhile, the operating temperature of photovoltaic module affects the output voltage where increasing temperature will reduce the output voltage. There is a point on the I-V curve where photovoltaic modules produce maximum possible output power that is called Maximum Power Point (MPP). A technique to track MPP on the I-V curve is known as Maximum Power Point Tracking (MPPT). In this study, the MPPT has been successfully designed based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and integrated with solar tracking system to improve the conversion efficiency of photovoltaic modules. The designed ANFIS MPPT system consists of current and voltage sensors, buck-boost converter, and Arduino MEGA 2560 microcontroller as a controller. Varying amounts of lamp with 12V 10W rating arranged in series is used as load. Solar tracking system that is equipped with MPPT ANFIS able to increase the output power of photovoltaic modules by 46.198% relative to the fixed system when 3 lamps is used as load.


2021 ◽  
Author(s):  
Priyanka Jagtap ◽  
Shradha Kakade ◽  
Pooja Pawar ◽  
Swapnali Patil ◽  
Swapnil Pawar ◽  
...  

In this paper maximum power point tracker battery charger is proposed for extracting maximum power from a photovoltaic panel to charge the battery. The output power of the PV system continuously varies with change in irradiance and temperature. It is a very important to improve the efficiency of solar panel. There are number of maximum power point tracking (MPPT) methods available to operate the PV system at maximum power point. The proposed system has used perturb & observe (P&O) MPPT algorithm for the design and implementation. And also describes thermoelectric power generation from waste heat from PV panel, utilizing generators that can convert heat energy directly to electrical energy.


Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1464
Author(s):  
Marcin Walczak ◽  
Leszek Bychto

DC/DC converters are widely used in photovoltaic (PV) systems to maximize the power drained from solar panels. As the power generated by a PV panel depends on the temperature and irradiance level, a converter needs to constantly modify its input resistance to remain at the maximum power point (MPP). The input resistance of a converter can be described by a simple equation that includes the converter load resistance and the duty cycle of the switching signal. The equation is sufficient for an ideal converter but can lead to incorrect results for a real converter, which naturally features some parasitic resistances. The goal of this study is to evaluate how the parasitic resistances of a converter influence its input resistance and if they are relevant in terms of MPPT system operation.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3260
Author(s):  
Ming-Fa Tsai ◽  
Chung-Shi Tseng ◽  
Kuo-Tung Hung ◽  
Shih-Hua Lin

In this study, based on the slope of power versus voltage, a novel maximum-power-point tracking algorithm using a neural network compensator was proposed and implemented on a TI TMS320F28335 digital signal processing chip, which can easily process the input signals conversion and the complex floating-point computation on the neural network of the proposed control scheme. Because the output power of the photovoltaic system is a function of the solar irradiation, cell temperature, and characteristics of the photovoltaic array, the analytic solution for obtaining the maximum power is difficult to obtain due to its complexity, nonlinearity, and uncertainties of parameters. The innovation of this work is to obtain the maximum power of the photovoltaic system using a neural network with the idea of transferring the maximum-power-point tracking problem into a proportional-integral current control problem despite the variation in solar irradiation, cell temperature, and the electrical load characteristics. The current controller parameters are determined via a genetic algorithm for finding the controller parameters by the minimization of a complicatedly nonlinear performance index function. The experimental result shows the output power of the photovoltaic system, which consists of the series connection of two 155-W TYN-155S5 modules, is 267.42 W at certain solar irradiation and ambient temperature. From the simulation and experimental results, the validity of the proposed controller was verified.


Author(s):  
Bharat Khandelwal

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.


2013 ◽  
Vol 339 ◽  
pp. 533-538
Author(s):  
Gang Wang

Aiming at the low generating efficiency of the current solar energy generating system, solar energy maximum power point tracking control system based on STC89C52 is designed and made. The photoelectric detection and tracking is adopted as the control mode in the system. By using stepping motor as driving mechanism, comprehensive trace of the sun is realized by controlling the movement of tracking mechanism in the horizontal and pitching directions. Based on this, real-time detection of wind velocity and change of wind direction is realized by wind velocity and direction transducer which is equipped on the tracking mechanism, which makes the system automatically avoid the typhoon above level 8 to weaken the damage to panel by the storm. The experiment results of model machine indicate that the system has reliable performance which can satisfy the need of auto-solar track, it can also make the panel orient towards east again after darkness to realize daily circular run and it is of relatively high practical value.


2010 ◽  
Vol 121-122 ◽  
pp. 93-96 ◽  
Author(s):  
Hou Sheng Zhang

As the energy crisis and the pollution are serious, the exploitation of solar has received more and more attentions. It is well known that for a given solar radiation intensity and solar cell temperature there exists a maximum power point at which the power generated from the PV panel is at its maximum. In order to improve the efficiency of the system, the main method is to regulate the output of array to develop the maximum power point tracking (MPPT). In this paper the principle and control method of DC/DC conversion in grid-connected photovoltaic system are experimentally discussed. The conductance incremental method is analyzed in detail, and an improved variable step-size control method is implemented for MPPT with pulse width modulation. The experimental results prove the feasibility and correctness of the control method.


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