Design of Grid Connected-PV System for a Hydrogen Refueling Station

Solar Energy ◽  
2006 ◽  
Author(s):  
Sachin Deshmukh ◽  
Yahia Baghzouz ◽  
Robert F. Boehm
Keyword(s):  
Energy Flow ◽  
Energy Production ◽  
Hydrogen Generation ◽  
Electric Utility ◽  
Photovoltaic System ◽  
System Operation ◽  
Pv System ◽  
Las Vegas Valley ◽  
Water District ◽  
Fixed Array

This paper describes the design of a 14 kW grid-tied photovoltaic system for powering a hydrogen generation and refueling station that is being constructed at the Las Vegas Valley Water District. The fixed array layout is determined by considering the available space, aesthetics and impact of shading on annual energy production. Computer simulations using PV-DesignPro software and area hourly solar radiation data are conducted to simulate the energy flow into and out of the electric utility grid for different profiles of hydrogen use. Stand-alone system operation is also simulated to estimate the maximum amount of hydrogen that can be produced under limited storage.

scholarly journals Short and open circuit faults study in the PV system inverter

2021 ◽  
Vol 12 (3) ◽  
pp. 1764
Author(s):  
Mohammed Bouzidi ◽  
Abdelkader Harrouz ◽  
Tadj Mohammed ◽  
Smail Mansouri
Keyword(s):  
Short Circuit ◽  
Electric Utility ◽  
Open Circuit ◽  
Photovoltaic System ◽  
Pv System ◽  
Simple Method ◽  
Pv Systems ◽  
Pv Array ◽  
Main Component ◽  
Types Of Faults

<p>The inverter is the principal part of the photovoltaic (PV) systems that assures the direct current/alternating current (DC/AC) conversion (PV array is connected directly to an inverter that converts the DC energy produced by the PV array into AC energy that is directly connected to the electric utility). In this paper, we present a simple method for detecting faults that occurred during the operation of the inverter. These types of faults or faults affect the efficiency and cost-effectiveness of the photovoltaic system, especially the inverter, which is the main component responsible for the conversion. Hence, we have shown first the faults obtained in the case of the short circuit. Second, the open circuit failure is studied. The results demonstrate the efficacy of the proposed method. Good monitoring and detection of faults in the inverter can increase the system's reliability and decrease the undesirable faults that appeared in the PV system. The system behavior is tested under variable parameters and conditions using MATLAB/Simulink.</p>

scholarly journals Experimental Efficiency Analysis of a Photovoltaic System with Different Module Technologies under Temperate Climate Conditions

2019 ◽  
Vol 9 (1) ◽  
pp. 141 ◽  
Author(s):  
Slawomir Gulkowski ◽  
Agata Zdyb ◽  
Piotr Dragan
Keyword(s):  
Thin Film ◽  
Energy Production ◽  
Photovoltaic System ◽  
Performance Ratio ◽  
Temperate Climate ◽  
Pv System ◽  
Lower Efficiency ◽  
Total Size ◽  
Climate Conditions ◽  
Technology System

This study presents a comparative analysis of energy production over the year 2015 by the grid connected experimental photovoltaic (PV) system composed by different technology modules, which operates under temperate climate meteorological conditions of Eastern Poland. Two thin film technologies have been taken into account: cadmium telluride (CdTe) and copper indium gallium diselenide (CIGS). Rated power of each system is approximately equal to 3.5 kWp. In addition, the performance of a polycrystalline silicon technology system has been analyzed in order to provide comprehensive comparison of the efficiency of thin film and crystalline technologies in the same environmental conditions. The total size of the pc-Si system is equal to 17 kWp. Adequate sensors have been installed at the location of the PV system to measure solar irradiance and temperature of the modules. In real external conditions all kinds of modules exhibit lower efficiency than the values provided by manufacturers. The study reveals that CIGS technology is characterized by the highest energy production and performance ratio. The observed temperature related losses are of the lowest degree in case of CIGS modules.

scholarly journals Opera.DL: Deep Learning Modelling for Photovoltaic System Monitoring

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 50 ◽  
Author(s):  
G. Almonacid-Olleros ◽  
G. Almonacid ◽  
J. I. Fernandez-Carrasco ◽  
Javier Medina Quero
Keyword(s):  
Deep Learning ◽  
Environmental Conditions ◽  
Energy Production ◽  
Photovoltaic System ◽  
Analytical Models ◽  
Context Aware ◽  
Learning Models ◽  
Pv System ◽  
Pv Systems ◽  
The University

In this paper we present Deep Learning (DL) modelling to forecast the behaviour and energy production of a photovoltaic (PV) system. Using deep learning models rather than following the classical way (analytical models of PV systems) presents an outstanding advantage: context-aware learning for PV systems, which is independent of the deployment and configuration parameters of the PV system, its location and environmental conditions. These deep learning models were developed within the Ópera Digital Platform using the data of the UniVer Project, which is a standard PV system that was in place for the last twenty years in the Campus of the University of Jaén (Spain). From the obtained results, we conclude that the combination of CNN and LSTM is an encouraging model to forecast the behaviour of PV systems, even improving the results from the standard analytical model.

scholarly journals The study on the efficiency of a photovoltaic cell with a system of supercapacitors and batteries

2018 ◽  
Vol 70 ◽  
pp. 01014
Author(s):  
Dariusz Strąk ◽  
Kinga Strąk ◽  
Magdalena Piasecka
Keyword(s):  
Hybrid System ◽  
Photovoltaic Cell ◽  
Photovoltaic System ◽  
Storage Efficiency ◽  
System Operation ◽  
Pv System ◽  
Solar Systems ◽  
Electrical Loads ◽  
Energy Storage Efficiency ◽  
Operation Flexibility

The main aim of this work is to propose a new system of a hybrid photovoltaic system working with batteries and supercapacitors and to analyze its efficiency. The preliminary results of the study on the operation of the system are discussed. The results obtained while testing the operation of a hybrid system and a PV system working separately with batteries and supercapacitors are compiled and compared. The tests covered the systems efficiency for the following electrical loads: heater warming up water in a tank, and lighting - a LED light. The work of batteries and supercapacitors during discharge has been analysed. The use of a hybrid system made it possible to increase energy storage efficiency and the system operation flexibility, compared to solar systems offered by the sector.

The Time-Variant Degradation of a Photovoltaic System

2012 ◽  
Vol 135 (2) ◽  
Author(s):  
A. Charki ◽  
R. Laronde ◽  
D. Bigaud
Keyword(s):  
Weibull Distribution ◽  
Environmental Conditions ◽  
Energy Production ◽  
Meteorological Data ◽  
Photovoltaic System ◽  
Energy Losses ◽  
Time To Failure ◽  
Pv System ◽  
Pv Systems ◽  
Pv Modules

This article presents a method developed for carrying out the energy production estimation considering the energy losses in different components of a photovoltaic (PV) system and its downtime effect. The studied system is a grid-connected photovoltaic system including PV modules, wires, and inverter. PV systems are sensitive to environmental conditions (UV radiation, temperature, humidity) and all components are subjected to electrical losses. The proposed method allows obtaining the production of photovoltaic system and its availability during a specified period using meteorological data. The calculation of the production takes into account the downtime periods when no energy is delivered in the grid during this period. The time-to-failure and the time-to-repair of photovoltaic system are considered following a Weibull distribution. This method permits to have a best estimation of the production throughout the lifetime of the photovoltaic system.

A Novel Model for Daily Energy Production Estimation of Grid-Connected Photovoltaic System

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
Li Fen ◽  
Yan Quanquan ◽  
Duan Shanxu ◽  
Zhao Jinbin ◽  
Ma Nianjun ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Correlation Analysis ◽  
Energy Production ◽  
Meteorological Data ◽  
Global Radiation ◽  
Photovoltaic System ◽  
Pv System ◽  
Pv Systems ◽  
Interaction Factors ◽  
Available Information

The rapidly growing markets for distributed and centralized grid-connected photovoltaic (PV) systems require the reliable and available information for reflecting and predicting the electricity generation of PV systems. In this work, the relationship between PV energy production and meteorological environmental factors is discussed by correlation analysis and partial correlation analysis. Meteorological data available, including the clearness index, diurnal temperature range, the global radiation on horizontal surface, and etc., are used as inputs. Then, according to factor analysis, these various interaction factors are extracted as two independent common factors. Finally, a new method based on factor analysis and multiple regression analysis has been developed for estimating the daily PV energy production. The meteorological data are collected from Wuhan Observatory, and power data from a roof grid-connected PV system located at Huazhong University of Science and Technology in Wuhan. The data of the whole year (from March in 2010 to February in 2011) has been used for model calibration and the following data of March in 2011 is used to test the predictions. The results show that there is significant positive correlation between the estimated values and the measured values; the rMBE per day is −0.14%, MAPE per day is 13.60% and rRMSE per day is 18.04%.

scholarly journals Cascaded Feed Forward Multilayer Neural Network based MPPT Controller for Improving the Performance of Photovoltaic System

2021 ◽  
Vol 12 (10) ◽  
Author(s):  
Mr. M Rupesh, Et. al.
Keyword(s):  
Energy Production ◽  
Sudden Change ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Pv System ◽  
Photovoltaic Generation ◽  
Intelligent Controller ◽  
Pv Cell ◽  
Mppt Controller ◽  
The Many

This paper deals with the energy production of photovoltaic (PV) cells in different weather conditions. Today, photovoltaic generation plays an important role in generating electricity and satisfies the demand of the island's consumers. The power generation of the PV cell was completely dependent upon sunlight and temperature, but sunlight and temperature changed forever in nature. The many researchers are working on different MPPT technologies for a PV system. Conventional MPPT controllers cannot withstand a sudden change of weather conditions. The main aim of this article is to compare the various conventional and intelligent controller such as the GA, Fuzzy, KGMO, and CNFF for MPPT of the PV system. The proposed intelligent controller was developed and simulated by the MATLAB environment for MPPT in the PV system. In addition, the above results are evaluated and compared. Based on performance, the optimal smart controller has been recommended as MPPT of the PV system

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

Performance assessment of free standing and building integrated grid connected photovoltaic system for southern part of India

2020 ◽  
pp. 014362442097774
Author(s):  
VS Chandrika ◽  
M Mohamed Thalib ◽  
Alagar Karthick ◽  
Ravishankar Sathyamurthy ◽  
A Muthu Manokar ◽  
...  
Keyword(s):  
Geographical Location ◽  
Photovoltaic System ◽  
Building Structures ◽  
System Efficiency ◽  
Pv System ◽  
Free Standing ◽  
Pv Module ◽  
Building Integrated Photovoltaic ◽  
Community Buildings ◽  
Equatorial Climate

Photovoltaic (PV) system efficiency depends on the geographical location and the orientation of the building. Until installing the building structures, the integration of the PV module must be evaluated with ventilation and without ventilation effects. This work optimises the performance of the 250 kWp grid-connected photovoltaic (GPV) for community buildings in the southern part of India. This simulation is carried out to evaluate the system efficiency of the GPV system under various ventilation conditions, such as free-standing PV (FSPV), building integrated photovoltaic ventilated (BIPV_V) and Building Integrated Photovoltaic without ventilation (BIPV). The PVsyst simulation tool is used to simulate and optimise the performance of the system with FSPV, BIPV and BIPV_V for the region of Chennai (13.2789° N, 80.2623° E), Tamilnadu, India. An annual system energy production is 446 MWh, 409 MWh and 428 MWh of FSPV, BIPV and BIPV_V system respectively. while electrical efficiency for the FSPV, BIPV_V, BIPV system is 15.45%. 15.25% and 14.75% respectively. Practical application: Integrating the grid connected photovoltaic system on the building reduces the energy consumption in the building. The integration of the PV on the roof or semi integrated on the roof is need to be investigated before installing on the buildings. The need for installation of the BIPV with ventilation is explored. This study will assist architects and wider community to design buildings roofs with GPV system which are more aesthetic and account for noise protection and thermal insulation in the region of equatorial climate zones.

A simplified method for fault detection and identification of mismatch modules and strings in a grid-tied solar photovoltaic system

2020 ◽  
Vol 21 (4) ◽  
Author(s):  
Namani Rakesh ◽  
Sanchari Banerjee ◽  
Senthilkumar Subramaniam ◽  
Natarajan Babu
Keyword(s):  
Characteristic Curve ◽  
Dynamic Change ◽  
Photovoltaic System ◽  
Small Scale ◽  
Pv System ◽  
Pv Array ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Theoretical Predictions ◽  
Solar Photovoltaic System

AbstractThe foremost problem facing by the photovoltaic (PV) system is to identify the faults and partial shade conditions. Further, the power loss can be avoided by knowing the number of faulty modules and strings. Hence, to attend these problems, a new method is proposed to differentiate the faults and partially shaded conditions along with the number of mismatch modules and strings for a dynamic change in irradiation. The proposed method has developed in two main steps based on a simple observation from the Current versus Voltage (I-V) characteristic curve of PV array at Line-Line (LL) fault. First, the type of fault is detected using defined variables, which are continuously updated from PV array voltage, current, and irradiation. Second, it gives the number of mismatch modules (or short-circuited bypass diodes) and mismatch strings (or open-circuited blocking diodes) by comparing with the theoretical predictions from the I-V characteristic curve of PV array. The proposed algorithm has been validated both on experimentation using small scale grid-connected PV array developed in the laboratory as well as MATLAB/Simulink simulations. Further, the comparative assessment with existing methods is presented with various performance indices to show the effectiveness of the proposed algorithm.

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