scholarly journals Mathematical Modelling of Solar Photovoltaic Cell/Panel/Array based on the Physical Parameters from the Manufacturer’s Datasheet

2020 ◽  
Vol 9 (1) ◽  
pp. 7-22 ◽  
Author(s):  
Manoharan Premkumar ◽  
Chandrasekaran Kumar ◽  
Ravichandran Sowmya
Keyword(s):  
Short Circuit ◽  
Maximum Output Power ◽  
Solar Irradiation ◽  
Physical Parameters ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Pv Array ◽  
Pv Cell

This paper discusses a modified V-I relationship for the solar photovoltaic (PV) single diode based equivalent model. The model is derived from an equivalent circuit of the PV cell. A PV cell is used to convert the solar incident light to electrical energy. The PV module is derived from the group of series connected PV cells and PV array, or PV string is formed by connecting the group of series and parallel connected PV panels. The model proposed in this paper is applicable for both series and parallel connected PV string/array systems. Initially, the V-I characteristics are derived for a single PV cell, and finally, it is extended to the PV panel and, to string/array. The solar PV cell model is derived based on five parameters model which requires the data’s from the manufacturer’s data sheet. The derived PV model is precisely forecasting the P-V characteristics, V-I characteristics, open circuit voltage, short circuit current and maximum power point (MPP) for the various temperature and solar irradiation conditions. The model in this paper forecasts the required data for both polycrystalline silicon and monocrystalline silicon panels. This PV model is suitable for the PV system of any capacity. The proposed model is simulated using Matlab/Simulink for various PV array configurations, and finally, the derived model is examined in partial shading condition under the various environmental conditions to find the optimal configuration. The PV model proposed in this paper can achieve 99.5% accuracy in producing maximum output power as similar to manufacturers datasheet.©2020. CBIORE-IJRED. All rights reserved

scholarly journals Power Enhancement from Solar PV Array Topologies under Partial Shading Condition

2018 ◽  
Vol 10 (01) ◽  
pp. 33-40
Author(s):  
Santosh Kumar Singh ◽  
Anurag Singh Yadav ◽  
Ashutosh Srivastava ◽  
Amarjeet Singh
Keyword(s):  
Maximum Output Power ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Pv Array ◽  
Power Enhancement ◽  
Pv Modules ◽  
Multiple Load ◽  
Mismatch Effect

In this paper, a detailed study is carried out on the solar photovoltaic (PV) array topologies under various shading patterns. The aim of this study is to investigate the mismatch effect losses in PV modules for non uniform irradiations. The shading causes not only power losses, but also non-linearity of P-V characteristics. Under partial shaded conditions, the P-V and I-V characteristics exhibit extreme non-linearity along with multiple load maxima. In this paper, the investigations of the optimal layout of PV modules in a PV array are worked out to provide maximum output power under various shaded conditions. Three type of solar PV array topologies e.g. Series-parallel (SP), Total cross tied (TCT) and Bridge link (BL) are considered for various typesof shaded patterns. The modeling of solar PV array for various types of topologies is done in MATLAB/Simulink environment. The extensive results have been taken on these topologies for partial shading patterns and analyzed, which proves the TCT topology performance is better as compared to other topologies for most of the shading patterns.

Power Enhancement from Solar PV Array Topologies under Partial Shading Condition

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Santosh Kumar Singh ◽  
Anurag Singh Yadav ◽  
Ashutosh Srivastava ◽  
Amarjeet Singh
Keyword(s):  
Maximum Output Power ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Pv Array ◽  
Power Enhancement ◽  
Pv Modules ◽  
Multiple Load ◽  
Mismatch Effect

In this paper, a detailed study is carried out on the solar photovoltaic (PV) array topologies under various shading patterns. The aim of this study is to investigate the mismatch effect losses in PV modules for non uniform irradiations. The shading causes not only power losses, but also non-linearity of P-V characteristics. Under partial shaded conditions, the P-V and I-V characteristics exhibit extreme non-linearity along with multiple load maxima. In this paper, the investigations of the optimal layout of PV modules in a PV array are worked out to provide maximum output power under various shaded conditions. Three type of solar PV array topologies e.g. Series-parallel (SP), Total cross tied (TCT) and Bridge link (BL) are considered for various types of shaded patterns. The modeling of solar PV array for various types oopologies is done in MATLAB/Simulink environment. The extensive results have been taken on these topologies for partial shading patterns and analyzed, which proves the TCT topology performance is better as compared to other topologies for most of the shading patterns.

Output Power Comparison of TCT & SP Topologies for Easy-to-Predict Partial Shadow on a 4×4 PV Field

2014 ◽  
Vol 612 ◽  
pp. 71-76 ◽  
Author(s):  
Smita Pareek ◽  
Ratna Dahiya
Keyword(s):  
Output Power ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Power Comparison ◽  
Partial Shading ◽  
Pv Array ◽  
Solar Photovoltaic System

The power generated by solar photovoltaic system depends on insolation, temperature and shading situation etc. These days’ solar PV arrays are mainly building integrated. Therefore PV array are often under partial shadow. The feature of these shadows can be either easy-to-predict (like neighbour’s chimney, nearby tree or neighbouring buildings) or difficult-to-predict (passing clouds, birds litter).Thus output power obtained by PV arrays decreases in a considerable manner. In this paper, output powers, currents and voltages for SP & TCT topologies are calculated for different patterns of easy-to-predict partial shading conditions on a 4×4 PV field.

Hyper SuDoKu Based Solar PV Array Reconfiguration for Maximum Power Enhancement under Partial Shading Conditions

2021 ◽  
pp. 1-36
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta
Keyword(s):  
Electrical Power ◽  
Maximum Power ◽  
Global Maximum ◽  
Maximum Output ◽  
Solar Pv ◽  
Partial Shading ◽  
Power Extraction ◽  
Performance Factors ◽  
Pv Array ◽  
The Impact

Abstract This manuscript focuses on the rearrangement of the structure of the photovoltaic (PV) array under different shading conditions. It aims to analyze the mismatch power losses (MPLs) due to irregular illumination over PV array (PVA). The impact of partial irradiance not only affects the electrical power but also causes multiple peaks in the P-V and I-V curves. The formulation of the best PVA configuration (PVAC) to achieve maximum output even under partial shading conditions is the deciding factor for the topologies considered. To aid the maximum power extraction, a new SuDoKu PVAC is designed like hyper SuDoKu (HS). This new structure is compared with the already existing PVACs such as bridge link, honey comb, series parallel, total cross-tied, and SuDoKu in the effect of considerable cases of shadowing. MATLAB/SIMULINK is used for the designing and computer based modeling of all these PVACs is considered in this work. The evaluation of these arrangements has been done by keeping several performance factors as the deciding pivot points. These factors include MPL, efficiency, global maximum power point (GMPP), and fill factor (FF). The results obtained through this document suggest that the HS arrangement proposed here gives the best outcome for each shading condition. The proposed HS structural arrangement of PVA deals with significantly superior GMPP, FF and efficiency while maintaining minimum MPL in comparison to the other arrangements.

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 Minimization of Losses in Solar Photovoltaic Modules by Reconfiguration under Various Patterns of Partial Shading

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 24 ◽  
Author(s):  
Chayut Tubniyom ◽  
Rongrit Chatthaworn ◽  
Amnart Suksri ◽  
Tanakorn Wongwuttanasatian
Keyword(s):  
Output Power ◽  
Total Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Photovoltaic Modules ◽  
Pv Array ◽  
Higher Power ◽  
Pv Modules ◽  
The Ideal

Configurations of photovoltaic (PV) modules, such as series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations, always utilize a number of connecting switches. In a simulation, the ideal switch with no loss is used to optimize the reconfiguration method for a solar PV array. However, in practice, the switches are non-ideal, causing losses and resulting in a decrease in the total output power of the PV array. In this work, MATLAB/Simulink (R2016a) was employed to simulate nine PV modules linked in a 3 × 3 array, and they were reconfigured using series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations for both ideal and non-ideal switch cases. It was not surprising that non-ideal switches deteriorated the output power compared with ideal cases. Then, the minimization of losses (ML) configuration was proposed by minimizing the number of switches to give the highest output power. A 5% higher power output was set as the criterion to reconfigure the PV modules when partial shading occurred. The results showed that if 50% or more of the area was partially shaded, reconfiguration was unnecessary. On the other hand, when the shaded area was less than 50%, reconfiguration gave a significant increase in power. Finally, the ML method had different configurations for various shading patterns, and provided better results than those of the TCT method.

scholarly journals Enhance the Output Power of a Shaded Solar Photovoltaic Arrays with Shade Dispersion based TCT Configuration

2021 ◽  
Vol 7 (1) ◽  
pp. 1-23
Author(s):  
V Bala Raju ◽  
Ch Chengaiah
Keyword(s):  
Negative Impact ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Array Configuration ◽  
Pv Array ◽  
Photovoltaic Arrays ◽  
Logic Approach ◽  
And Performance ◽  
Dispersion Technique

Partial shading has a negative impact on the performance parameters of a Solar Photovoltaic (PV) array, because it shades certain panels while leaving others un-shaded. This article focuses on modeling, comparing and performance assessment of 6×6, 6×5 and 5×6 size shadowed solar PV arrays under different partial shading cases in the MATLAB/ Simulink software. For this purpose, the simulation of series-parallel (SP), Total-Cross-Tied (TCT) and proposed shade dispersion based TCT (SD-TCT) type of array configurations was carried out under few shading cases. The proposed SD-TCT was designed using the shades dispersion technique, which is based on a number logic approach. In this technique, in order to effectively remove the row-current mismatches in the TCT PV array configuration, the shaded and un-shaded modules in an array were re-arranged, so that the shading on modules expands across the whole array. The physical placement of the TCT array modules has been reordered in accordance with the proposed number logic pattern exclusive of altering the electrical links among the panels. The simulation results showed that the performance of the SD-TCT type was superior to that of conventional array configurations.

scholarly journals Evaluation of Interconnection Configuration Schemes for PV Modules with Switched-Inductor Converters under Partial Shading Conditions

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2802 ◽  
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Mashood Nasir ◽  
Dezso Sera
Keyword(s):  
Output Power ◽  
Maximum Output Power ◽  
Research Work ◽  
Maximum Output ◽  
Power Losses ◽  
Comparative Performance ◽  
Partial Shading ◽  
Power Characteristics ◽  
Pv Array ◽  
Pv Modules

Partial shading on photovoltaic (PV) arrays reduces the overall output power and causes multiple maximas on the output power characteristics. Due to the introduction of multiple maximas, mismatch power losses become apparent among multiple PV modules. These mismatch power losses are not only a function of shading characteristics, but also depend on the placement and interconnection patterns of the shaded modules within the array. This research work is aimed to assess the performance of 4 × 4 PV array under different shading conditions. The desired objective is to attain the maximum output power from PV modules at different possible shading patterns by using power electronic-based differential power processing (DPP) techniques. Various PV array interconnection configurations, including the series-parallel (SP), total-cross-tied (TCT), bridge-linked (BL), and center-cross-tied (CCT) are considered under the designed shading patterns. A comparative performance analysis is carried out by analyzing the output power from the DPP-based architecture and the traditional Schottky diode-based architecture. Simulation results show the gain in the output power by using the DPP-based architecture in comparison to the traditional bypassing diode method.

scholarly journals A Review of Fuzzy Logic and Artificial Neural Network Technologies Used for MPPT

2021 ◽  
Vol 12 (2) ◽  
pp. 2912-2918
Author(s):  
Tawseef Ahmad Wani, Et. al.
Keyword(s):  
Electric Power ◽  
Maximum Output Power ◽  
Electric Energy ◽  
Weather Conditions ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Efficient Manner ◽  
Pv Panel ◽  
Low Efficiency

Solar electric power generating stations play a major role in meeting the growing demand for electric power. These generating stations make use of solar photovoltaic (PV) panels to perform the conversion of solar energy to electric energy. However, the solar panel output is highly unpredictable because the output is a function of number of factors; some of which are not in the control of humans like the weather conditions, and the output is also a function of the age of PV panel, dust and other debris collected on the panel, direction and angle of elevation and so on. The solar panels exhibit a low efficiency. Currently, a lot of research is going on to overcome these issues. This paper represents a review of two modern techniques used in solar photovoltaic systems which enhance the extraction of maximum output power in an efficient manner. The Artificial Intelligence Based MPPT Techniques for PV Applications, and, a Forecasting System of Solar PV Power Generation using Wavelet Decomposition and Bias- compensated Random Forest are reviewed and compared in this paper.

Global assessment for reduction of solar photovoltaic potential due to meteorological and geomorphological limiting factors

2021 ◽  
Author(s):  
Mustajab Ali ◽  
Hyungjun Kim
Keyword(s):  
Northern Hemisphere ◽  
Clean Energy ◽  
Global Scale ◽  
Limiting Factors ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Temperature Changes ◽  
Cell Efficiency ◽  
Maximum Reduction ◽  
Pv Cell

<p>Solar Photovoltaic (PV) has the potential to fulfill a considerable amount of growing electricity demands worldwide.  In addition, being neat and clean, it can help to keep the greenhouse gases emission within safe limits. This resource needs a substantial amount of area for its sitting to supply the required amount of electricity. Such an area mainly depends on the available solar resource which is mainly the function of the local environment where PV is installed. Although some previous studies exist at the global scale, however, they have not comprehensively considered environmental (e.g., temperature, dust deposition, and snow) limiting factors that affect the actual solar PV yield. This study addresses such shortcomings and deals with all limiting factors simultaneously to provide a reliable assessment of potential PV performance at a global scale. PV cell efficiency is reduced due to an increase in resistance between cells at a temperature above a certain limit. Meanwhile, the accumulation of soil (dust) and snow on PV modules are also proven to limit the solar PV resources as it tends to block the incoming solar radiation. Lastly, the geomorphological parameter, which is an arrangement of a PV module to face the sun, is also shown to change its power output.</p><p>PV cell efficiency corrections for temperature changes, soil, and snow covers are applied using the biased corrected data from Global Soil Wetness Project 3 (GWSP3), CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2 from National Snow and Ice Data Center (nsidc), and TERRA/MODIS Aerosol Optical Thickness data available from NASA Earth Observations (NEO). The daily mean solar climatological values near the Earth’s surface for the last 14 years (2001–2014) with global coverage of 0.5º x0.5º are used in the analysis. The results have demonstrated that PV performance is affected by temperature increase, soil, snow, and varying tilt-angles. An annual maximum reduction of 5.7% in the total solar PV resource is seen in the Middle East due to the temperature changes. Likewise, a maximum loss of 6.45% in the total solar PV resource is witnessed for soil deposition for Sub-Saharan Africa. A higher reduction (~20%) is shown by snow covers for Russia and Canada in the upper Northern Hemisphere. In addition, a decline of 5–7% is observed for variation in the solar PV tilt-angles in comparison to optimum ones. As a whole, a maximum reduction of 19.45% in the total solar PV resource is found, which leads to a higher coefficient of determination (R<sup>2</sup>= 0.78) than uncorrected estimation (R<sup>2</sup>=0.67). This study will be helpful for household as well as large scale solar schemes and may contribute particularly to achieving the UN SDG No. 07 — Affordable and Clean Energy — and No. 13 — Climate Action — quantitatively.</p>

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