Mathematical modeling of photovoltaic module with Simulink

Pandiarajan, Natarajan; Muthu, Ranganath

doi:10.1109/icees.2011.5725339

Cited by 229 publications

(78 citation statements)

References 3 publications

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“…An ideal solar cell may be modeled by a current source connected in parallel with a diode; the current source represents the generated photocurrent when the sunlight hits on the surface of the solar panel, and the diode represents the p-n transition area of the solar cell [8]. This PV cell model represents the electrical behavior of the pn-junction [9]- [11]. Figure 1 shows the single diode equivalent circuit model of Solar cell.…”

Section: Solar Photovoltaic Modelmentioning

confidence: 99%

Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application

Samosir

Gusmedi

Purwiyanti

et al. 2018

IJECE

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This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system. Keyword:Fuzzy logic algorithm Maximum power point tracking MPPT Photovoltaic Simulink Copyright © 2018 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Ahmad Saudi Samosir, Departement of Electrical Engineering, University of Lampung, No. 1, Jln. Prof. Soemantri Brojonegoro, Bandar Lampung, 35152, Indonesia. Email: ahmad.saudi@eng.unila.ac.id INTRODUCTIONThe growing energy demand of the world and the tremendous risk of climate change associated with the use of fossil fuels have driven research and development of alternative energy sources that are clean, efficient, renewable and environmentally friendly. Among all renewable energy sources, solar power systems attract more attention because they have several advantages such as pollution-free, low maintenance costs and low operating costs. Their sources of energy, which is derived from solar energy, are also widely available and it is free [1]- [4].In solar power system, the solar energy is directly converted into electrical energy by solar PV module. The main components of solar PV systems are solar cells made from semiconductor materials that have a photovoltaic effect, which serves to convert solar energy into direct current electricity. When exposed to sunlight; the solar panels will generate the direct current electricity, which is ready to supply power to the load. Solar Panels do not need much maintenance and have no moving parts. The unfavorable issue with solar PV systems is the high installing cost and the variation of energy form the solar panel with environmental conditions. In order to attain the maximum efficiency from the solar panel, it is important to obtain the maximum available power at any operating condition [5]. Also, the power distribution across the system has to be managed. Storage devices are used so that the energy is stored or supplied according to the availability of sufficient power and the load requirements [6].The efficiency of solar cells depends on many factors such as temperature, irradiance, spectral characteristics of sunlight, dirt, shadow, and so on. Changes in insolation on panels due to fast climatic changes such as cloudy weather and increase in ambient temperature can reduce the photovoltaic (PV) array

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Section: Solar Photovoltaic Modelmentioning

confidence: 99%

Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application

Samosir

Gusmedi

Purwiyanti

et al. 2018

IJECE

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“…Some authors and researchers, e.g., [19][20][21], use a 5-parameter model that includes a shunt resistor R 2 , thereby giving the output current as in Eq. (2).…”

Section: Theoretical Basis -A Summarymentioning

confidence: 99%

Validation of TRNSYS modelling for a fixed slope photovoltaic panel

Kanyarusoke¹,

Gryzagoridis²,

Oliver³

2016

Turk J Elec Eng & Comp Sci

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TRNSYS stands for transient system simulation software. This paper describes a procedure that was used to validate a TRNSYS model for estimating electricity yields from a fixed slope photovoltaic (PV) panel. The objective was to find how close to reality predicted energy yield for a specified panel can be, at a location near one of the weather stations listed in the software's database. The software was used to predict daily total incident radiation on a horizontal plane and electrical energy yields from a 90 Wp panel when sloped at 34• facing north at a test site in Cape Town, SouthAfrica. The panel and other system components were then installed and tested to give actual electrical energy yields.The site was 5 km from a TRNSYS listed weather station. A local weather station logging 10-min data of actual total incident radiation on a horizontal plane enabled comparison with the model's estimate. Analysis of electrical energy yield gave statistical kappa values of 0.722 and 0.944 at actual to model acceptance ratio levels of 90% and 80%, respectively.Regression analysis of measured and model incident horizontal plane energy gave a coefficient of 0.782 across the year.It was thus concluded that within limits of meteorological phenomena behaviour, TRNSYS modelling reliably predicted energy yields from the PV panel installed in the neighbourhood of one of the software's listed stations.

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“…When the cell exposed to the sunlight, the cell photons are absorbed by the semiconductor atoms, freeing electrons from the negative layer. These electrons find their path through an external circuit toward the positive layer resulting an electric current [21,22]. Monocrystalline, polycrystalline and thin film technologies are the major families of PV cells.…”

Section: Introductionmentioning

confidence: 99%