scholarly journals Modelling and Design of Five Parameter Single Diode Photovoltaic Model with Artificial Intelligent MPPT Power System

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1063-1068
Keyword(s):  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Voltage Versus ◽  
Control Approach ◽  
Power Extraction ◽  
Pv Module ◽  
Mathematical System ◽  
Perturb And Observe ◽  
In Series ◽  
Current Characteristics

In this article, an improved single diode Photo Voltaic mathematical system with novel Fuzzy Logic Control (FLC) based maximum power extraction approach was developed. The photovoltaic module voltage versus current characteristics derivation were developed and it’s utilized to extract the photovoltaic module unknown arguments via as saturation current, light generated current, shunt and ideality factor, series resistance at reference. The various mathematical models are utilized to determine the photovoltaic system arguments at reference circumference by acquainting equations to calculate the value of resistance in series and shunt. The production of highest power of PV modules were equated with dissimilar manufactured PV model with various environmental conditions. The percentage relative error and highest power is computed and compared with previous models in the survey for dissimilar photovoltaic modules. Further, in this paper added with improved Perturb and Observe (P&O) based FLC control approach utilized to extract the highest energy from solar panel. The output of the developed system exposes the good performance during steady state period and transient periods. Moreover to confirm the developed photovoltaic model matches exactly with that of Sandia PV module.

scholarly journals A Study of the Electrical Output and Reliability Characteristics of the Crystalline Photovoltaic Module According to the Front Materials

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 163
Author(s):  
Jong Rok Lim ◽  
Woo Gyun Shin ◽  
Chung Geun Lee ◽  
Yong Gyu Lee ◽  
Young Chul Ju ◽  
...  
Keyword(s):  
Surface Film ◽  
Front Surface ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Reliability Test ◽  
Tempered Glass ◽  
Characteristic Analysis ◽  
Pv Module ◽  
Reliability Characteristics ◽  
Electrical Output

In recent years, various types of installations such as floating photovoltaic (PV) and agri-voltaic systems, and BIPV (building integrated photovoltaic system) have been implemented in PV systems and, accordingly, there is a growing demand for new PV designs and materials. In particular, in order to install a PV module in a building, it is important to reduce the weight of the module. The PV module in which low-iron, tempered glass is applied to the front surface, which is generally used, has excellent electrical output and reliability characteristics; however, it is heavy. In order to reduce the weight of the PV module, it is necessary to use a film or plastic-based material, as opposed to low-iron, tempered glass, on the front surface. However, if a material other than glass is used on the front of the PV module, various problems such as reduced electrical output and reduced reliability may occur. Therefore, in this paper, a PV module using a film instead of glass as the front surface was fabricated, and a characteristic analysis and reliability test were conducted. First, the transmittance and UV characteristics of each material were tested, and one-cell and 24-cell PV modules were fabricated and tested for electrical output and reliability. From the results, it was found that the transmittance and UV characteristics of the front material were excellent. In addition, the electrical output and reliability test results confirmed that the front-surface film was appropriate for use in a PV module.

Research on the Impact of Shadow on the Performance of Building Photovoltaic System

2014 ◽  
Vol 694 ◽  
pp. 163-168
Author(s):  
Liang Guo ◽  
Yun Liang ◽  
Xu Zhang ◽  
Xiao Tian Yang
Keyword(s):  
System Performance ◽  
Rapid Development ◽  
Photovoltaic System ◽  
Future Research ◽  
Photovoltaic Module ◽  
Pv Module ◽  
New Energy ◽  
Generation Capacity ◽  
The Impact ◽  
Support Cost

With the rapid development of world economy, the energy crisis has become one of the urgent problems to be solved. Photovoltaic technology is a green new energy industry, no pollution is widely used all over the world. Typically, for photovoltaic component installation, only considering the utilization of components support cost and area, and the arrangement of components have not given enough attention. Photovoltaic module in use process will inevitably encounter the shadow, the shadow changes to make appropriate adjustments to the PV module arrangement can enhance the power generation capacity. Effect of the shadow on the photovoltaic system performance can be effectively used for photovoltaic component to bring help, is of positive significance. This study analyzed the villa model typical, and the rectangular shadow is modeling, in order to analyze the influence on the photovoltaic component. Through the conclusion of this study can determine the horizontal and vertical components of photovoltaic components which caused little damage, and provide a reference for future research of shadow and photovoltaic system performance.

Modelling and Simulation of Solar Photovoltaic Cell for Different Insolation Values Based on MATLAB/Simulink Environment

2014 ◽  
Vol 550 ◽  
pp. 137-143 ◽  
Author(s):  
S. Narendiran ◽  
Sarat Kumar Sahoo
Keyword(s):  
Photovoltaic Cell ◽  
Photovoltaic Module ◽  
Solar Photovoltaic ◽  
Electrical Characteristics ◽  
Array Type ◽  
Matlab Simulink ◽  
Photovoltaic Modules ◽  
Pv Module ◽  
Current Input ◽  
In Series

The paper discuss about the modelling and electrical characteristics of photovoltaic cell and its array type of construction in matlab-simulink environment at different insolation levels. The photovoltaic module is modelled using the diode electrical characteristic equation. The photovoltaic cell is analysed by voltage input and current input modules, The voltage and current input photovoltaic modules are simulated with different insolation values by varying the construction of PV modules. The results conclude that the current input PV module is well suited for applications were it shares same current when connected in series and voltage input PV module, where it shares same voltage when connected in parallel.

scholarly journals ANALYSIS AND SIMULATION OFF-GRID PV PANELS BY USING MATLAB / SIMULINK ENVIRONMENT

2021 ◽  
pp. 97-105
Author(s):  
L. M. Abdali ◽  
H. A. Issa ◽  
Q. A. Ali ◽  
V. V. Kuvshinov ◽  
E. A. Bekirov
Keyword(s):  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Test System ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Operating Modes ◽  
Pv Module ◽  
Pv Modules ◽  
Generating System

The use of renewable energy sources and in particular solar energy has received considerable attention in recent decades. Photovoltaic (PV) energy projects are being implemented in very large numbers in many countries. Many research projects are carried out to analyze and verify the performance of PV modules. Implementing a pilot plant for a photovoltaic power system with a DC / DC converter to test system performance is not always possible due to practical limitations. The software simulation model helps to analyze the performance of PV modules, and more useful would be a general circuit model that can be used to test any commercial PV module. This paper presents a simulation of a mathematical model of a photovoltaic module that boosts a DC / AC converter and also simulates the operating modes of a solar generating system at various load characteristics. The model presented in this article can be used as a generalized PV module to analyze the performance of any commercially available PV module. In the presented work, the parameters that affect the performance of the generating system were investigated. The results were obtained for the operation of DC/AC photoelectric converters. The presented characteristics strongly depend on such parameters as solar insolation, the temperature of the working surface of the photovoltaic module, the charge-discharge time of storage batteries, etc. When one of the values ​​of these parameters changes, the operating modes of the solar power generating battery change. Changing the operating modes can lead to malfunctions of the entire operation of the system, therefore, it is necessary to control all the energy characteristics of the installation. The actions proposed in this work aimed at studying the operation of the photovoltaic system and the energy storage system, as well as the use of the necessary auxiliary devices for monitoring and controlling the parameters of the installation, are capable of achieving an increase in the efficiency of the generation of the system. The studies carried out in the course of the presented work make it possible to increase the level of knowledge on the control and management of the parameters of photovoltaic generating plants and expand the possibilities of their uninterrupted operation and increase energy production.

scholarly journals Backstepping Based Super-Twisting Sliding Mode MPPT Control with Differential Flatness Oriented Observer Design for Photovoltaic System

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1543 ◽  
Author(s):  
Rashid Khan ◽  
Laiq Khan ◽  
Shafaat Ullah ◽  
Irfan Sami ◽  
Jong-Suk Ro
Keyword(s):  
Sliding Mode Control ◽  
Control Strategy ◽  
Sliding Mode ◽  
Power Converter ◽  
Photovoltaic System ◽  
Differential Flatness ◽  
Resistive Load ◽  
Power Extraction ◽  
Mode Control ◽  
Pv Module

The formulation of a maximum power point tracking (MPPT) control strategy plays a vital role in enhancing the inherent low conversion efficiency of a photovoltaic (PV) module. Keeping in view the nonlinear electrical characteristics of the PV module as well as the power electronic interface, in this paper, a hybrid nonlinear sensorless observer based robust backstepping super-twisting sliding mode control (BSTSMC) MPPT strategy is formulated to optimize the electric power extraction from a standalone PV array, connected to a resistive load through a non-inverting DC–DC buck-boost power converter. The reference peak power voltage is generated via the Gaussian process regression (GPR) based probabilistic machine learning approach that is adequately tracked by the proposed MPPT scheme. A generalized super-twisting algorithm (GSTA) based differential flatness approach (DFA) is used to retrieve all the missing system states. The Lyapunov stability theory is used for guaranteeing the stability of the proposed closed-loop MPPT technique. The Matlab/Simulink platform is used for simulation, testing and performance validation of the proposed MPPT strategy under different weather conditions. Its MPPT performance is further compared with the recently proposed benchmark backstepping based MPPT control strategy and the conventional MPPT strategies, namely, sliding mode control (SMC), proportional integral derivative (PID) control and the perturb-and-observe (P&O) algorithm. The proposed technique is found to have a superior tracking performance in terms of offering a fast dynamic response, finite-time convergence, minute chattering, higher tracking accuracy and having more robustness against plant parametric uncertainties, load disturbances and certain time-varying sinusoidal faults occurring in the system.

scholarly journals Photovoltaic Module Fault Detection Based on a Convolutional Neural Network

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1635
Author(s):  
Shiue-Der Lu ◽  
Meng-Hui Wang ◽  
Shao-En Wei ◽  
Hwa-Dong Liu ◽  
Chia-Chun Wu
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Convolutional Neural Network ◽  
Rapid Development ◽  
Recognition Rate ◽  
Photovoltaic System ◽  
Image Feature ◽  
Photovoltaic Module ◽  
Pv Module ◽  
Fault State

With the rapid development of solar energy, the photovoltaic (PV) module fault detection plays an important role in knowing how to enhance the reliability of the solar photovoltaic system and knowing the fault type when a system problem occurs. Therefore, this paper proposed the hybrid algorithm of chaos synchronization detection method (CSDM) with convolutional neural network (CNN) for studying PV module fault detection. Four common PV module states were discussed, including the normal PV module, module breakage, module contact defectiveness and module bypass diode failure. First of all, the defects in 16 pieces of 20W monocrystalline silicon PV modules were preprocessed, and there were four pieces of each fault state. When the signal generator delivered high frequency voltage to the PV module, the original signal was measured and captured by the NI PXI-5105 high-speed data acquisition system (DAS) and was calculated by CSDM, to establish the chaos dynamic error map as the image feature of fault diagnosis. Finally, the CNN was employed for diagnosing the fault state of the PV module. The findings show that after entering 400 random fault data (100 data for each fault) into the proposed method for recognition, the recognition accuracy rate of the proposed method was as high as 99.5%, which is better than the traditional ENN algorithm that had a recognition rate of 86.75%. In addition, the advantage of the proposed algorithm is that the mass original measured data can be reduced by CSDM, the subtle changes in the output signals are captured effectively and displayed in images, and the PV module fault state is accurately recognized by CNN.

scholarly journals The Reliability Analysis of PV Panels Installed in KP Region

2020 ◽  
Vol 7 (10) ◽  
pp. 384-389
Author(s):  
Jawad Ahmad ◽  
Keyword(s):  
Short Circuit ◽  
Equivalent Circuit Model ◽  
Short Circuit Current ◽  
Open Circuit ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Pv System ◽  
Peak Voltage ◽  
Pv Module ◽  
Term Performance

Reliability and long term performance of photovoltaic (PV) system is of vital importance in switching from conventional sources to sustainable one. Design, study and analysis of key components in a photovoltaic power system starting from generation of power to withstands number of climatic stresses and uninterrupted power supply plays a key role. One of the key elements in photovoltaic system is photovoltaic module. Also power generated in photovoltaic system is dependent on a source of energy that changes in every instant and with the passage of time during its operation .Hence it is paramount to build a long lasting photovoltaic module and analyze characteristics of the PV module under various conditions. This paper presents an efficient PV module based on PV equivalent circuit model using MATLAB/Simulink, and compared the simulated model results with manufacturer’s specifications like peak current, peak voltage, open circuit voltage and short circuit current .Also the performance of the module under variation of series resistance, irradiation, and temperature are analyzed. Data from five different areas across KP are noted and the results were Simulated and compared with the rated data.

Sign in / Sign up

Export Citation Format

Share Document