Thevenin Equivalent of Solar PV Cell Model and Maximum Power Transfer

2021 ◽  
Author(s):  
Suleyman Adak ◽  
Hasan Cangi ◽  
A.Serdar Yilmaz
Keyword(s):  
Cell Model ◽  
Maximum Power ◽  
Power Transfer ◽  
Solar Pv ◽  
Pv Cell ◽  
Thevenin Equivalent

Modeling and Simulation of Grid Connected PV Generation System Using Matlab/Simulink

2017 ◽  
Vol 8 (1) ◽  
pp. 392 ◽  
Author(s):  
Omar Mohammed Benaissa ◽  
Samir Hadjeri ◽  
Sid Ahmed Zidi
Keyword(s):  
Cell Model ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
External Temperature ◽  
Point Tracking ◽  
Pv Cell ◽  
Power Point ◽  
Grid Side

<span lang="EN-US">This paper describes the Grid connected solar photovoltaique system using DC-DC boost converter and the DC/AC inverter (VSC) to supplies electric power to the utility grid. The model contains a representation of the main components of the system that are two solar arrays of 100 kW, boost converter and the grid side inverter. The paper starts with a system description, in this part we have given a definition and a short overview of every component used in this system and they are taken separately. The PV cell model is easy, accurate, and takes external temperature and solar radiation into consideration. It also proposes a maximum power point tracking (MPPT) algorithm. The algorithm incorporated in a DC/DC converter is used to track the maximum power of PV cell. Finally, the DC/AC inverter (VSC) of three- level is used to regulate the ouput voltage of DC/DC converter and connects the PV cell to the grid. Simulation results show how a solar radiation’s change can affect the power output of any PV system, also they show the control performance and dynamic behavior of the grid connected photovoltaic system.</span>

scholarly journals SCNN Based Electrical Characteristics of Solar Photovoltaic Cell Model

2017 ◽  
Vol 7 (6) ◽  
pp. 3198
Author(s):  
Bambang Purwahyudi ◽  
Kuspijani Kuspijani ◽  
Ahmadi Ahmadi
Keyword(s):  
Power Systems ◽  
Series Resistance ◽  
Cell Model ◽  
Renewable Energy Sources ◽  
Solar Irradiation ◽  
Solar Photovoltaic ◽  
Electrical Characteristics ◽  
Solar Pv ◽  
Pv Cell ◽  
Simulation Results

Solar photovoltaic (PV) cell is one of the renewable energy sources and a main component of PV power systems. The design of PV power systems requires accurately its electrical output characteristics. The electrical characteristics of solar PV cell consist of I-V and P-V characteristics. They depend on the parameters of PV cell such as short circuit current, open circuit voltage and maximum power. Solar PV cell model can be described through an equivalent circuit including a current source, a diode, a series resistor and a shunt resistor. In this paper, the development solar PV cell model is built by using self constructing neural network (SCNN) methods. This SCNN technique is used to improve the accuracy of the electrical characteristic of solar PV cell model. SCNN solar PV cell model have three inputs and two outputs. They are respectively solar radiation, temperature, series resistance, current and power. The effectiveness of SCNN technique is verified using simulation results based on different physical and environmental conditions. Simulations are conducted by the change of the solar irradiation, temperature and series resistance. Simulation results show SCNN model can yield the I-V and P-V characteristics according to the characteristics of solar PV cell.

scholarly journals EQUIVALENT MODELS FOR PHOTOVOLTAIC CELL – A REVIEW

2020 ◽  
Vol 19 (2) ◽  
pp. 77
Author(s):  
N. M. F. T. S. Araújo ◽  
F. J. P. Sousa ◽  
F. B. Costa
Keyword(s):  
Cell Model ◽  
Photovoltaic Cell ◽  
Circuit Model ◽  
Equivalent Model ◽  
Future Research ◽  
Model Parameters ◽  
Solar Pv ◽  
Point Tracking ◽  
Pv Cell ◽  
Power Point

Over the years, the contribution of photovoltaic energy to an eco-friendly world is continually increasing. Photovoltaic (PV) cells are commonly modelled as circuits, so finding the appropriate circuit model parameters of PV cells is crucial for performance evaluation, control, efficiency computations and maximum power point tracking of solar PV systems. The problem of finding circuit model of solar PV cells is referred to as “PV cell equivalent model problem”. In this paper, the existing research works on PV cell model parameter estimation problem are classified according to error quali-quantitative analysis, number of parameters, translation equations and PV technology. The existent models were discussed pointing out its different levels of approximation. A qualitative comparative ranking was made and four models were found to be the best ones for simulating PV cells. Besides, based on the conducted review, some recommendations for future research are provided.

scholarly journals A Simple and Efficient MPPT Method for Low-Power PV Cells

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Maria Teresa Penella ◽  
Manel Gasulla
Keyword(s):  
Open Circuit Voltage ◽  
Cell Model ◽  
Experimental Tests ◽  
Low Complexity ◽  
Open Circuit ◽  
Maximum Power ◽  
Sensor Nodes ◽  
Pv Panel ◽  
Pv Cell ◽  
Power Point

Small-size PV cells have been used to power sensor nodes. These devices present limited computing resources and so low complexity methods have been used in order to extract the maximum power from the PV cells. Among them, the fractional open circuit voltage (FOCV) method has been widely proposed, where the maximum power point of the PV cell is estimated from a fraction of its open circuit voltage. Here, we show a generalization of the FOCV method that keeps its inherent simplicity and improves the tracking efficiency. First, a single-diode model for PV cells was used to compute the tracking efficiency versus irradiance. Computations were carried out for different values of the parameters involved in the PV cell model. The proposed approach clearly outperformed the FOCV method, specially at low irradiance, which is significant for powering sensor nodes. Experimental tests performed with a 500 mW PV panel agreed with these results.

scholarly journals Efficiency Improvement Scheme for PV Emulator Based on a Physical Equivalent PV-cell Model

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Habes Ali Khawaldeh ◽  
Mohammad Al-soeidat ◽  
Majid Farhangi ◽  
Dylan Dah-Chuan Lu ◽  
Li Li
Keyword(s):  
Cell Model ◽  
Efficiency Improvement ◽  
Pv Cell ◽  
Improvement Scheme

An MPPT method using hybrid radial movement optimization with teaching-learning based optimization under fluctuating atmospheric conditions

2021 ◽  
pp. 1-10
Author(s):  
Imran Pervez ◽  
Adil Sarwar ◽  
Afroz Alam ◽  
Mohammad ◽  
Ripon K. Chakrabortty ◽  
...  
Keyword(s):  
Maximum Power ◽  
Metaheuristic Algorithms ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Local Optima ◽  
Pv Array ◽  
Radial Movement ◽  
Teaching Learning Based Optimization ◽  
Power Point ◽  
Teaching Learning

Due to its clean and abundant availability, solar energy is popular as a source from which to generate electricity. Solar photovoltaic (PV) technology converts sunlight incident on the solar PV panel or array directly into non-linear DC electricity. However, the non-linear nature of the solar panels’ power needs to be tracked for its efficient utilization. The problem of non-linearity becomes more prominent when the solar PV array is shaded, even leading to high power losses and concentrated heating in some areas (hotspot condition) of the PV array. Bypass diodes used to eliminate the shading effect cause multiple peaks of power on the power versus voltage (P-V) curve and make the tracking problem quite complex. Conventional algorithms to track the optimal power point cannot search the complete P-V curve and often become trapped in local optima. More recently, metaheuristic algorithms have been employed for maximum power point tracking. Being stochastic, these algorithms explore the complete search area, thereby eliminating any chance of becoming trapped stuck in local optima. This paper proposes a hybridized version of two metaheuristic algorithms, Radial Movement Optimization and teaching-learning based optimization (RMOTLBO). The algorithm has been discussed in detail and applied to multiple shading patterns in a solar PV generation system. It successfully tracks the maximum power point (MPP) in a lesser amount of time and lesser fluctuations.

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