scholarly journals PV Module Parameters Estimation Using Newton Raphson

2019 ◽  
pp. 137-149
Author(s):  
Ranjith Dharmarajan ◽  
Rajeswari Ramachandran
Keyword(s):  
Parameters Estimation ◽  
Model Parameters ◽  
Solar Pv ◽  
Pv System ◽  
Shunt Resistance ◽  
The Real ◽  
Pv Module ◽  
Current Series ◽  
Real Performance ◽  
Newton Raphson

The estimation of solar photovoltaic (PV) system with help of electrical model parameters, such as photon generated current, the diode saturation current, series resistance, shunt resistance, and diode ideality factor, are desirable to predict the real performance characteristics of solar PV under varying environmental conditions. Finally, performance indices, such as PV characteristics curve are estimated for the various solar PV panels, using Newton Raphson (NR) to reveal the effectiveness of the proposed method. Also, validation with `experimental data has been considered. Finally, through the comparative analysis of the results, it is revealed that the proposed method offers solar PV characteristics closer to the real characteristics.

scholarly journals ESTIMATION OF PV MODULE PARAMETERS USING GENERALIZED HOPFIELD NEURAL NETWORK

2019 ◽  
pp. 16-27
Author(s):  
Ranjith Dharmarajan ◽  
Rajeswari Ramachandran
Keyword(s):  
Optimization Technique ◽  
Hopfield Neural Network ◽  
Model Parameters ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Shunt Resistance ◽  
Pv Module ◽  
Current Series ◽  
Real Performance

The estimation of solar photovoltaic (PV) system with help of electrical model parameters, suchas photon generated current, the diode saturation current, series resistance, shunt resistance, anddiode ideality factor, are desirable to predict the real performance characteristics of solar PVunder varying environmental conditions. Finally, performance indices, such as PV characteristicscurve are estimated for the various solar PV panels using GHNN optimization technique.

scholarly journals PV modeling and Maximum power extraction using Voltage Control Algorithm

2019 ◽  
Vol 8 (4) ◽  
pp. 5220-5224
Keyword(s):  
Control Algorithm ◽  
Voltage Control ◽  
Standard Test ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Shunt Resistance ◽  
Power Extraction ◽  
Current Series

In this paper a Voltage Control Algorithm (VCA) is implemented for maximum power point tracking (MPPT) from solar photovoltaic (PV) system with less complexity. In addition, single diode model is designed and applied for solar PV modelling without applying any approximation conditions. In modelling, PV manufacturer’s provides limited parameters in datasheet at standard test condition (STC). The information given in the manufacturer’s datasheet is not enough in identification of the characteristic curves of solar PV panel under different climatic conditions. In single diode model has five parameters namely, photo current , diode current ( ), series resistance ( ), shunt resistance ( ) and ideality factor (A). These parameters are extracted using gauss seidal method with the help of manufacturer’s information. The suggested proposed MPPT algorithm is implemented in the DC-DC boost converter and simulation results are compared with existing P&O MPPT technique. Finally the proposed algorithm is able to track maximum power for given solar PV system with less oscillation and less complexity

scholarly journals Design of a Building-Integrated Photovoltaic System with a Novel Bi-Reflector PV System (BRPVS) and Optimal Control Mechanism: An Experimental Study

Electronics ◽  
2018 ◽  
Vol 7 (7) ◽  
pp. 119 ◽  
Author(s):  
Muhammad Khan ◽  
Kamran Zeb ◽  
Waqar Uddin ◽  
P. Sathishkumar ◽  
Muhammad Ali ◽  
...  
Keyword(s):  
Low Cost ◽  
Input Voltage ◽  
Photovoltaic System ◽  
Solar Pv ◽  
Pv System ◽  
Building Integrated Photovoltaics ◽  
Pv Module ◽  
Solar Pv System ◽  
Zero Carbon ◽  
The Cost

Environment protection and energy saving are the most attractive trends in zero-carbon buildings. The most promising and environmentally friendly technique is building integrated photovoltaics (BIPV), which can also replace conventional buildings based on non-renewable energy. Despite the recent advances in technology, the cost of BIPV systems is still very high. Hence, reducing the cost is a major challenge. This paper examines and validates the effectiveness of low-cost aluminum (Al) foil as a reflector. The design and the performance of planer-reflector for BIPV systems are analyzed in detail. A Bi-reflector solar PV system (BRPVS) with thin film Al-foil reflector and an LLC converter for a BIPV system is proposed and experimented with a 400-W prototype. A cadmium–sulfide (CdS) photo-resistor sensor and an Arduino-based algorithm was developed to control the working of the reflectors. Furthermore, the effect of Al-foil reflectors on the temperature of PV module has been examined. The developed LLC converter confirmed stable output voltage despite large variation in input voltage proving its effectiveness for the proposed BRPVS. The experimental results of the proposed BRPVS with an Al-reflector of the same size as that of the solar PV module offered an enhancement of 28.47% in the output power.

scholarly journals Feasibility Study of Grid-Connected Solar Photovoltaic (PV) System for Primary School in Johor

2018 ◽  
Vol 11 (1) ◽  
pp. 233
Author(s):  
Siti Amely Jumaat ◽  
Adhwa Amsyar Syazwan Ab Majid ◽  
Chin Kim Gan ◽  
Mohd Noor Abdullah ◽  
Nur Hanis Radzi ◽  
...  
Keyword(s):  
Educational Institution ◽  
Project Planning ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
System Implementation ◽  
Huge Amount ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
The Cost

This project aims to determine the potential of grid connected solar Photovoltaic (PV) implementation and project planning of solar PV System in school.  Generally, the educational institution used huge amount of electricity to operate so their monthly bills is expensive. Therefore, the project planning is necessary to determine the potential of solar PV system implementation. The project planning consists of the current electricity consumed by the school and the amount of 120W Monocrystalline PV module needed by them. The cost of project are determines to identify the initial cost of this project implementation. Lastly, analysis on the profit collected by SK Pintas Raya after 20 years of solar PV system implementation proved the importance of this project.

scholarly journals Modeling and Parameter Extraction of PV Cell Using Single- and Two-Diode Model

2017 ◽  
Vol 2 (2) ◽  
pp. 06
Author(s):  
Bouchra Benabdelkrim ◽  
Ali Benatillah
Keyword(s):  
Iteration Method ◽  
Accurate Determination ◽  
Parameter Extraction ◽  
Solar Pv ◽  
Mathematical Methods ◽  
Pv System ◽  
Accurate Performance ◽  
Newton Raphson ◽  
Using Data ◽  
Raphson Iteration

Photovoltaic modules operate under a large range of conditions. This combined with the fact that manufacturers provide electrical parameters at specific conditions (STC). The present study proposes a comparison between single and double diode models of solar PV system and ensures the best suited model under specific environmental condition for accurate performance prediction. An important feature of these models is that its parameters can be determined using data commonly provided by module manufacturers on their published datasheets. Accurate determination of these parameters which arose from a diversification of models and methods dedicated to their estimations is still a challenge for researchers. In this paper the single and two diode models have been studied by mathematical methods based on simulated Newton-Raphson iteration method. Newton-Raphson iteration method is solved by MATLAB simulation. 

scholarly journals ecent Advancement on Solar Photovoltaic Energy Generation System Special Reference to Shading Condition- A Review

2020 ◽  
Vol 8 (4) ◽  
pp. 1-6
Keyword(s):  
Energy Generation ◽  
Solar Pv ◽  
Generation System ◽  
Pv System ◽  
Photovoltaic Energy ◽  
Array Configuration ◽  
Advantages And Disadvantages ◽  
Pv Module ◽  
Modelling Techniques ◽  
Supply Capacity

Design of a Solar PVEnergy Generation to harness the optimum solar energy has been a big challenge among the researcher. It is quite essential to review the latest all the availabletechnique, their advantages and disadvantages, prior to designinga new Solar PV Energy Generation system. In present paper a detail discussion is presented on various maximum power points tracking algorithms employed on Photovoltaic Energy generation system under shading condition. We have covered the various algorithms, PV modelling techniques, PV array configuration, monitoring system etc. up to till date. Impact of shading effect is reported massive on energy supply capacity. Hence, in this paper we have investigated and discussed the various type of PV module at different type of shading level. This paper provides a handy reference to undertake a mass research works on PV system in near future under shading condition

scholarly journals Current Characteristics Estimation of Si PV Modules Based on Artificial Neural Network Modeling

Materials ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3037 ◽  
Author(s):  
Xiaobo Xu ◽  
Xiaocheng Zhang ◽  
Zhaowu Huang ◽  
Shaoyou Xie ◽  
Wenping Gu ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mean Bias Error ◽  
Neural Network Modeling ◽  
Bias Error ◽  
Pv System ◽  
Shunt Resistance ◽  
Pv Module ◽  
Pv Modules ◽  
Artificial Neural

In the photovoltaic (PV) field, the outdoor evaluation of a PV system is quite complex, due to the variations of temperature and irradiance. In fact, the diagnosis of the PV modules is extremely required in order to maintain the optimum performance. In this paper, an artificial neural network (ANN) is proposed to build and train the model, and evaluate the PV module performance by mean bias error, mean square error and the regression analysis. We take temperature, irradiance and a specific voltage for input, and a specific current value for output, repeat several times in order to obtain an I-V curve. The main feature lies to the data-driven black-box method, with the ignorance of any analytical equations and hence the conventional five parameters (serial resistance, shunt resistance, non-ideal factor, reverse saturation current, and photon current). The ANN is able to predict the I-V curves of the Si PV module at arbitrary irradiance and temperature. Finally, the proposed algorithm has proved to be valid in terms of comparison with the testing dataset.

scholarly journals A comparison of two automatic solar tracking algorithms

2020 ◽  
Vol 152 ◽  
pp. 02009
Author(s):  
Motlatsi Lehloka ◽  
James Swart ◽  
Pierre Hertzog
Keyword(s):  
Fuzzy Logic ◽  
Fossil Fuels ◽  
Global Climate ◽  
Clean Energy ◽  
The Sun ◽  
Solar Pv ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
Fixed Axis

Due to global climate change as a result of pollution caused by the burning of fossil fuels, the world has changed its view when it comes to power generation. The focus is now more on natural and clean energy, such as solar PV systems. An effective solar PV system is not a simple system, as the sun is not a stationery object. The sun moves from east to west daily and that makes the design and installation of an effective solar PV system challenging for optimal power harvesting. The purpose of this paper is to compare two algorithms (linear regression and fuzzy logic) that are applied to a dual-axis tracker in order to maximize the output power yield that may be obtained from a fixed-axis system. One fixed-axis PV module serves as the baseline for comparing the results of the dual-axis trackers that are controlled by the two algorithms. A key recommendation is to align a PV module perpendicular to the sun from sunrise to sunset using a control algorithm based on fuzzy logic principles in order to extract the maximum amount of available energy.

scholarly journals Parameter Extraction of Three Diode Solar Photovoltaic Model Using Improved Grey Wolf Optimizer

2021 ◽  
Vol 13 (12) ◽  
pp. 6963
Author(s):  
Abd-ElHady Ramadan ◽  
Salah Kamel ◽  
Tahir Khurshaid ◽  
Seung-Ryle Oh ◽  
Sang-Bong Rhee
Keyword(s):  
Optimization Algorithms ◽  
Real Data ◽  
Absolute Error ◽  
Parameter Extraction ◽  
Parameters Estimation ◽  
Grey Wolf Optimizer ◽  
Gray Wolf ◽  
Pv System ◽  
The Real ◽  
Wide Range

The enhancement of photovoltaic (PV) energy systems relies on an accurate PV model. Researchers have made significant efforts to extract PV parameters due to their nonlinear characteristics of the PV system, and the lake information from the manufactures’ PV system datasheet. PV parameters estimation using optimization algorithms is a challenging problem in which a wide range of research has been conducted. The idea behind this challenge is the selection of a proper PV model and algorithm to estimate the accurate parameters of this model. In this paper, a new application of the improved gray wolf optimizer (I-GWO) is proposed to estimate the parameters’ values that achieve an accurate PV three diode model (TDM) in a perfect and robust manner. The PV TDM is developed to represent the effect of grain boundaries and large leakage current in the PV system. I-GWO is developed with the aim of improving population, exploration and exploitation balance and convergence of the original GWO. The performance of I-GWO is compared with other well-known optimization algorithms. I-GWO is evaluated through two different applications. In the first application, the real data from RTC furnace is applied and in the second one, the real data of PTW polycrystalline PV panel is applied. The results are compared with different evaluation factors (root mean square error (RMSE), current absolute error and statistical analysis for multiple independent runs). I-GWO achieved the lowest RMSE values in comparison with other algorithms. The RMSE values for the two applications are 0.00098331 and 0.0024276, respectively. Based on quantitative and qualitative performance evaluation, it can be concluded that the estimated parameters of TDM by I-GWO are more accurate than those obtained by other studied optimization algorithms.

Harvesting Maximum Power from Mismatch Module of PV System Using PO Buck-Boost Converter

2014 ◽  
Vol 953-954 ◽  
pp. 95-98
Author(s):  
Mohd Najib Mohd Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim
Keyword(s):  
Code Generation ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Development Environment ◽  
Model Based ◽  
Pv Module ◽  
Power Point

This paper presents a simulation and laboratory test of Photovoltaic (PV) module incorporated with Positive Output (PO) Buck-Boost Converter for harnessing maximum energy from the solar PV module. The main intention is to invent a system which can harvest maximum power point (MPP) energy of the PV system in string-connection. The model-based design of the controller and maximum power point tracking (MPPT) algorithm for the system were implemented using MATLAB SIMULINK software. For laboratory execution, the digital microcontroller of dsPIC30F digital signal controller (DSC) was used to control the prototype of PO buck-boost converter. The code generation via MPLAB Integrated Development Environment (IDE) from model-based design was embedded into the dsPIC30F using the SKds40A target board and PICkit 3 circuit debugger. The system was successfully simulated and verified by simulation and laboratory evaluations. A physical two PV module of PV-MF120EC3 Mitsubishi Electric is modeled in string connection to represent a mismatch module. While in laboratory process, a string-connection of 10W and 5W PV module is implemented for the mismatch module condition.

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