Photovoltaic Maximum Power Point Varying with Illumination and Temperature

2005 ◽  
Vol 128 (1) ◽  
pp. 34-39 ◽  
Author(s):  
E. Radziemska ◽  
E. Klugmann
Keyword(s):  
Temperature Increase ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Photovoltaic Module ◽  
Practical Implementation ◽  
Maximum Output ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Current Voltage Curve ◽  
Power Point

This paper presents the experimental results and discusses the track of the maximum power point on the current-voltage curve of a PV module due to changes of the illumination level and temperature. A time decrease of the voltage and simultaneous temperature increase during the initial stage of irradiation has been observed. Some practical implementation aspects of a maximum power point tracking unit, which match the current and voltage characteristics of the load to the PV module’s maximum power point automatically, are also discussed. A linear decrease of the maximum output power Pm with temperature increase has been observed and the temperature coefficient was derivate. Temperature coefficients for Voc, Isc, Vmpp, Impp, and ηPV have been determined for the photovoltaic module. Also the radiation-rate coefficient at constant temperature has been calculated.

scholarly journals Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink

2020 ◽  
Vol 18 (2) ◽  
pp. 666
Author(s):  
Hayder Moayad Abd Alhussain ◽  
Naseer Yasin
Keyword(s):  
Maximum Output Power ◽  
Maximum Power ◽  
Maximum Output ◽  
Atmospheric Conditions ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Matlab Simulink ◽  
Point Tracking ◽  
Pv Module ◽  
Power Point

<p>This paper introduces a procedure for the modelling of a Photo<em>ــ</em>Voltaic (PV) cell and the application of maximum power point tracking (MPPT) in step-by-step with MATLAB/Simulink. The model of one diode is used to explore the characteristics of I<em>ــ</em>V and P<em>ــ</em>V curves of 60W PV module. Due to the non-linear and time varying of PV characteristics, the generated power of the PV is continually varying with atmospheric conditions like temperature and irradiation, the MPPT technology is very important to chase maximum power point (MPP) on the P<em>ــ</em>V curve to obtain maximum output power from PV array. This study focuses on two common types algorithms of MPPT, namely perturb and observe (P&amp;O) and incremental conductance (INC). A DC--DC boost converter is implemented to regulate the voltage output from the PV array's and for the application of MPPT algorithm.</p>

Review of Maximum Power Point Tracking Technology for Photovoltaic Cells

2013 ◽  
Vol 448-453 ◽  
pp. 1542-1546
Author(s):  
Nan Jin ◽  
Dong Dong Gu ◽  
Guang Zhao Cui
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Output ◽  
Maximum Power Point ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The output characteristics of photovoltaic (PV) cells are usually nonlinear, influenced by solar irradiation, environmental temperature and load characteristics. The maximum output power of PV cells changes with external environment. In order to improve the system efficiency and make PV cells work near the maximum power point (MPP), it is necessary to adjust the operating point. A variety of maximum power point tracking (MPPT) methods have been proposed. This paper compares these methods and summarizes the advantages and disadvantages of them. Finally, the key problems and development prospects of MPPT technology are analyzed.

scholarly journals Pengaruh Algoritma Peturb & Observe pada Irradiance, Suhu dan Beban Bervariasi

AVITEC ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Ernando Rizki Dalimunthe
Keyword(s):  
Output Power ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Maximum Output ◽  
Average Output ◽  
Point Tracking ◽  
Power Simulation ◽  
Power Point Tracking ◽  
Duty Cycles ◽  
Power Point

Optimizing the output power value of a solar cell requires a tracker. The tracking is called the maximum power point tracking (MPPT) which will produce a maximum output power value. Each component in this system is modeled into Simulink. This simulation is designed to optimize the work of solar cells by searching maximum power points using perturb and observe (P & O) algorithms, then duty cycles are output  of the algorithms become Buck-Boost Converter inputs as switching so they can produce output power with better output  power. Simulation results show that MPPT can increase the average output power on changes in the value of sun irradiation, temperature and load than systems that do not use MPPT. The factor of the average difference in power is 37.82%.

scholarly journals Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Long-Yi Chang ◽  
Hsueh-Chien Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Maximum Power Point Tracking ◽  
Particle Swarm ◽  
Maximum Power ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Swarm Optimization ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This study investigated the output characteristics of photovoltaic module arrays with partial module shading. Accordingly, we presented a maximum power point tracking (MPPT) method that can effectively track the global optimum of multipeak curves. This method was based on particle swarm optimization (PSO). The concept of linear decreases in weighting was added to improve the tracking performance of the maximum power point tracker. Simulation results were used to verify that this method could successfully track maximum power points in the output characteristic curves of photovoltaic modules with multipeak values. The results also established that the performance of the modified PSO-based MPPT method was superior to that of conventional PSO methods.

scholarly journals Sliding Mode Real-Time Control of Photovoltaic Systems Using Neural Estimators

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
J. A. Ramos-Hernanz ◽  
O. Barambones ◽  
J. M. Lopez-Guede ◽  
I. Zamora ◽  
P. Eguia ◽  
...  
Keyword(s):  
Sliding Mode ◽  
Weather Conditions ◽  
Maximum Power ◽  
Photovoltaic Module ◽  
Real Time Control ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Time Control ◽  
Power Point ◽  
Artificial Neuronal Network

The maximum power point tracking (MPPT) problem has attracted the attention of many researchers, because it is convenient to obtain the maximum power of a photovoltaic module regardless of the weather conditions and the load. In this paper, a novel control for a boost DC/DC converter has been introduced. It is based on a sliding mode controller (SMC) that takes a current signal as reference instead of a voltage, which is generated by a neuronal reference current generator. That reference current indicates the current (IMPP) at the maximum power point (MPP) for given weather conditions. In order to test the designed control system, a photovoltaic module model based on a second artificial neuronal network (ANN) has been obtained from experimental data gathered during 18 months in the Faculty of Engineering Vitoria-Gasteiz (Spain). We have analyzed the performance of such model and we found that it is very accurate (MSE = 0.062 A andR= 0.991 with test dataset). We also have tested the performance of the overall SMC design with both simulated and real tests, concluding that it guarantees that the power in the output of the converter is very close to the power of the photovoltaic module output.

scholarly journals Implementasi MPPT Panel Surya Berbasis Algoritma Perturbasi & Observasi (PO) Menggunakan Arduino

2021 ◽  
Vol 2 (2) ◽  
pp. 162-167
Author(s):  
Haris Masrepol ◽  
Muldi Yuhendri
Keyword(s):  
Control System ◽  
Output Power ◽  
Output Voltage ◽  
Maximum Output Power ◽  
Buck Converter ◽  
Maximum Power ◽  
Maximum Output ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Power Point

Solar panels are a renewable energy power plant that uses sunlight as its main energy source. The power generated by solar panels are determined by the size of the solar panels, solar radiation and temperature. The power of the solar panels is also determined by the output voltage of the solar panels. To get the maximum output power at any time, it is necessary to adjust the output voltage of the solar panel. This study proposes controlling the maximum output power of solar panels, also known as maximum power point tracking (MPPT) by adjusting the output voltage of the solar panels using a buck converter. The buck converter output voltage regulation at the maximum power point of the solar panel is designed with the Perturbation and Observation (PO) algorithm which is implemented using an Arduino Mega 2560. This MPPT control system is applied to 4x50 Watt-Peak (WP) solar panels which are connected in parallel. The experimental results show that the proposed MPPT control system with the PO algorithm has worked well as expected. This can be seen from the output power generated by the solar panels already around the maximum power point at any change in solar radiation and temperature.

scholarly journals Design Method of Dual Active Bridge Converters for Photovoltaic Systems with High Voltage Gain

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1711
Author(s):  
Elkin Edilberto Henao-Bravo ◽  
Carlos Andrés Ramos-Paja ◽  
Andrés Julián Saavedra-Montes ◽  
Daniel González-Montoya ◽  
Julián Sierra-Pérez
Keyword(s):  
High Voltage ◽  
Design Method ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Dual Active Bridge ◽  
Point Tracking ◽  
Theoretical Predictions ◽  
Power Point

In this paper, a design method for a photovoltaic system based on a dual active bridge converter and a photovoltaic module is proposed. The method is supported by analytical results and theoretical predictions, which are confirmed with circuital simulations. The analytical development, the theoretical predictions, and the validation through circuital simulations, are the main contributions of the paper. The dual active bridge converter is selected due to its high efficiency, high input and output voltages range, and high voltage-conversion ratio, which enables the interface of low-voltage photovoltaic modules with a high-voltage dc bus, such as the input of a micro-inverter. To propose the design method, the circuital analysis of the dual active bridge converter is performed to describe the general waveforms derived from the circuit behavior. Then, the analysis of the dual active bridge converter, interacting with a photovoltaic module driven by a maximum power point tracking algorithm, is used to establish the mathematical expressions for the leakage inductor current, the photovoltaic current, and the range of operation for the phase shift. The design method also provides analytical equations for both the high-frequency transformer equivalent leakage inductor and the photovoltaic side capacitor. The design method is validated through detailed circuital simulations of the whole photovoltaic system, which confirm that the maximum power of the photovoltaic module can be extracted with a correct design of the dual active bridge converter. Also, the theoretical restrictions of the photovoltaic system, such as the photovoltaic voltage and power ripples, are fulfilled with errors lower than 2% with respect to the circuital simulations. Finally, the simulation results also demonstrate that the maximum power point for different environmental conditions is reached, optimizing the phase shift factor with a maximum power point tracking algorithm.

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