Enhanced MPPT technique for rapid varying solar irradiance in a PV system

2019 ◽  
Author(s):  
Mohammad Zair Hussain ◽  
Freddy Tan Kheng Suan
Keyword(s):  
Solar Irradiance ◽  
Pv System

scholarly journals A Linear Regression Model for THD Sensitivity in PV Based Microgrid with Varying Insolation Levels

2022 ◽  
pp. 179-186
Author(s):  
Yuvraj Praveen Soni ◽  
Eugene Fernandez
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Solar Irradiance ◽  
Harmonic Distortion ◽  
System Control ◽  
Solar Pv ◽  
Pv System ◽  
Simulink Model ◽  
The Impact

Solar PV systems can be used for powering small microgrids in rural area of developing countries. Generally, a solar power microgrid consists of a PV array, an MPPT, a dc-dc converter and an inverter, particularly as the general loads are A.C in nature. In a PV system, reactive current, unbalancing in currents, and harmonics are generated due to the power electronics-based converters as well as nonlinear loads (computers induction motors etc). Thus, estimation of the harmonics levels measured by the Total Harmonic Distortion (THD) is an essential aspect of performance assessment of a solar powered microgrid. A major issue that needs to be examined is the impact of PV system control parameters on the THD. In this paper, we take up this assessment for a small PV based rural microgrid with varying levels of solar irradiance. A Simulink model has been developed for the study from which the THD at equilibrium conditions is estimated. This data is in turn used to design a generalized Linear Regression Model, which can be used to observe the sensitivity of three control variables on the magnitude of the THD. These variables are: Solar Irradiance levels, Power Factor (PF) of connected load magnitude of the connected load (in kVA) The results obtained show that the greatest sensitivity is obtained for load kVA variation.

scholarly journals Electrical and Meteorological Data Acquisition System of a Commercial and Domestic Microgrid for Monitoring PV Parameters

2020 ◽  
Vol 10 (24) ◽  
pp. 9092
Author(s):  
Edson L. Meyer ◽  
Oliver O. Apeh ◽  
Ochuko K. Overen
Keyword(s):  
Data Acquisition ◽  
Solar Irradiance ◽  
Power Plants ◽  
Meteorological Parameters ◽  
Meteorological Data ◽  
Data Acquisition System ◽  
Operating Conditions ◽  
Acquisition System ◽  
Data Logger ◽  
Pv System

This paper centers on the design and installation of a robust photovoltaic (PV)-based microgrid data acquisition system (DAS) that can monitor different PV systems simultaneously. The PV-based microgrid consists of three solar systems: off-grid, hybrid and grid-assisted systems, each with 3.8 kWp located at SolarWatt park, Fort Hare Institute of Technology (FHIT), South Africa. The designed DAS is achieved by assembling and connecting a set of sensors to measure and log electrical and meteorological parameters from each of the three power plants. Meteorological parameters use a CR1000 datalogger while the electrical output parameters use a DT80 data logger. Calibration was done by voltage signal conditioning which helps to reduce errors initiated by analogue signals. The designed DAS mainly assist in assessing the potential of solar energy of the microgrid power plant considering the energy needed in the remote community. Besides, the simultaneous monitoring of the three systems ensures that the outdoor operating conditions are the same while comparing the logged data. A variable day and a week, data were used to verify the reliability of the system. The back of the array temperature was observed to be 42.7 °C when solar irradiance was 1246 W/m2. The ambient temperature and relative humidity were obtained at 21.3 °C and 63.3%, respectively. The PV current in all three systems increases with the solar irradiance and is highest around midday. The results obtained show that the designed DAS is of great interest in PV system developments.

Boost chopper MPP assessment based on solar irradiance and predictive duty cycle applied to a PV system

2017 ◽  
Vol 42 (30) ◽  
pp. 19403-19410 ◽  
Author(s):  
Amina Benabda ◽  
Mounia Samira Kelaiaia ◽  
Hocine Labar ◽  
Pierre-Olivier Logerais ◽  
Jean-Félix Durastanti
Keyword(s):  
Duty Cycle ◽  
Solar Irradiance ◽  
Pv System

Analysis of Photovoltaic (PV) Module during Partial Shading based on Simplified Two-Diode Model

2015 ◽  
Vol 16 (1) ◽  
pp. 15-21 ◽  
Author(s):  
B. Chitti Babu ◽  
Suresh Gurjar ◽  
Ashish Meher
Keyword(s):  
Solar Irradiance ◽  
Computational Time ◽  
Pv System ◽  
Partial Shading ◽  
Multiple Peaks ◽  
Array Configuration ◽  
Pv Array ◽  
Adverse Condition ◽  
Pv Module

Abstract Generally, the characteristics of photovoltaic (PV) array are largely affected by solar temperature, solar irradiance, shading patterns, array configuration and location of shading modules. Partial shading is due to moving clouds and shadows of nearby obstacles and can cause a significant degradation in the output of PV system. Hence, the characteristics of PV array get more multifaceted with multiple peaks. The ultimate aim of the paper is to analyze the performance of PV module during such adverse condition based on simplified two-diode model. To reduce the computational time, the simplified two-diode model has a photocurrent source in parallel with two ideal diodes. Only four parameters are required to be calculated from datasheet in order to simulate the model. Moreover, the performance of PV array is evaluated at different shaded patterns and it is found that the model has less computational time and gives accurate results.

Effects of Operating Temperature on the Heat Transfer Characteristics of Photovoltaic Systems in the Upper Midwest

2016 ◽  
Vol 8 (3) ◽  
Author(s):  
Wongyu Choi ◽  
Michael B. Pate ◽  
Ryan D. Warren ◽  
Ron M. Nelson
Keyword(s):  
Heat Transfer ◽  
Solar Irradiance ◽  
Tracking System ◽  
Stationary System ◽  
Tracking Systems ◽  
Heat Transfer Characteristics ◽  
Upper Midwest ◽  
Pv System ◽  
Transfer Characteristics ◽  
Solar Research

This paper presents the heat transfer characteristics of a stationary PV system and a dual-axis tracking PV system installed in the Upper Midwest, U.S. Because past solar research has focused on the warmer, sunnier Southwest, a need exists for solar research that focuses on this more-populated and colder Upper Midwest region. Meteorological and PV experimental data were collected and analyzed for the two systems over a one-year period. At solar irradiance levels larger than 120 W/m2, the array temperatures of the dual-axis tracking PV system were found to be lower than those of the stationary system by 1.8 °C, which is a strong evidence of the different heat transfer trends for both systems. The hourly averaged heat transfer coefficients for the experiment year were found to be 20.8 and 29.4 W/m2 °C for the stationary and tracking systems, respectively. The larger heat transfer coefficient of the dual-axis tracking system can be explained by the larger area per unit PV module exposed to the ambient compared to the stationary system. The experimental temperature coefficients for power at a solar irradiance level of 1000 W/m2 were −0.30% and −0.38%/ °C for the stationary and dual-axis tracking systems, respectively. These values are lower than the manufacturer's specified value −0.5/ °C. Simulations suggest that annual conversion efficiencies could potentially be increased by approximately 4.3% and 4.6%, respectively, if they were operated at lower temperatures.

scholarly journals Solar Photovoltaic Power Prediction Using Big Data Tools

2021 ◽  
Vol 13 (24) ◽  
pp. 13685
Author(s):  
Mariz B. Arias ◽  
Sungwoo Bae
Keyword(s):  
Big Data ◽  
Prediction Model ◽  
Solar Irradiance ◽  
Weather Data ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Power Prediction ◽  
Pv System ◽  
Generation Planning ◽  
Solar Pv System

Solar photovoltaic (PV) installation has been continually growing to be utilized in a grid-connected or stand-alone network. However, since the generation of solar PV power is highly variable because of different factors, its accurate forecasting is critical for a reliable integration to the grid and for supplying the load in a stand-alone network. This paper presents a prediction model for calculating solar PV power based on historical data, such as solar PV data, solar irradiance, and weather data, which are stored, managed, and processed using big data tools. The considered variables in calculating the solar PV power include solar irradiance, efficiency of the PV system, and characteristics of the PV system. The solar PV power profiles for each day of January, which is a summer season, were presented to show the variability of the solar PV power in numerical examples. The simulation results show relatively accurate forecasting with 17.57 kW and 2.80% as the best root mean square error and mean relative error, respectively. Thus, the proposed solar PV power prediction model can help power system engineers in generation planning for a grid-connected or stand-alone solar PV system.

Electric Vehicle as an Energy Storage for Grid Connected Solar Power System

2015 ◽  
Vol 6 (3) ◽  
pp. 567 ◽  
Author(s):  
E. Sheeba Percis ◽  
Manivannan S ◽  
Nalini A
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Solar Irradiance ◽  
Solar Power ◽  
Weather Conditions ◽  
Real Field ◽  
Technological Advancement ◽  
Atmospheric Conditions ◽  
Pv System ◽  
Point Tracking

In the past few years the growing demand for electricity and serious concern for the environment have given rise to the growth of sustainable sources like wind, solar, tidal, biomass etc. The technological advancement in power electronics has led to the extensive usage of solar power. Solar power output varies with the weather conditions and under shading conditions. With the increasing concerns of the impacts of the high penetration of Photovoltaic (PV) systems, a technical study about their effects on the power quality of the utility grid is required. This paper investigates the functioning of a grid-tied PV system along with maximum power point tracking (MPPT) algorithm. The effects of varying atmospheric conditions like solar irradiance and temperature are also taken into account. It is proposed in this work that an Electric Vehicle (EV) can be used as an energy storage to stabilize the power supplied to the grid from the photovoltaic resources. A coordinated control is necessary for the EV to obtain desired outcome. The modeling of the PV and EV system is carried out in PSCAD and the proposed idea is verified through simulation results utilizing real field data for solar irradiance and temperature.

scholarly journals Nowcasting the Output Power of PV Systems

2018 ◽  
Vol 61 ◽  
pp. 00010 ◽  
Author(s):  
Marius Paulescu ◽  
Oana Mares ◽  
Ciprian Dughir ◽  
Eugenia Paulescu
Keyword(s):  
Output Power ◽  
Solar Irradiance ◽  
Energy Production ◽  
Ground Level ◽  
Measured Data ◽  
State Model ◽  
Clearness Index ◽  
Pv System ◽  
Pv Systems ◽  
Two State Model

This paper presents an innovative procedure for nowcasting the energy production of PV systems. The procedure is relayed on a new version of two-state model for forecasting solar irradiance at ground level and a simplified description of the PV system. The results of testing the proposed procedure against on field measured data are discussed. Generally, the proposed procedure demonstrates a better performance than the main competitor based on ARIMA forecasting of the clearness index.

Development of Software for Analyzing of Solar Irradiance and Sizing of Stand-Alone PV Power Systems

2014 ◽  
Vol 700 ◽  
pp. 16-19
Author(s):  
Mauricio Mauledoux ◽  
Oscar I. Caldas ◽  
Oscar F. Avilés
Keyword(s):  
Power Systems ◽  
Solar Irradiance ◽  
Energy Resource ◽  
Standard Test ◽  
Pv System ◽  
Period Range ◽  
Sequential Structure ◽  
Bright Sunlight ◽  
Average Irradiance ◽  
Nueva Granada

An analyzing software was developed for studying the solar irradiance on the Universidad Militar Nueva Granada (UMNG) Campus, as well as for sizing a stand-alone photovoltaic (PV) system in terms of power generation and energy storage, which is intended to be part of an hybrid DC smart grid with several energy sources, including not only solar but additional renewable. This software has a two stage sequential structure: First, it let to calculate the total solar energy resource and define the average irradiance and its variability for several user-defined periods, i.e. daily, monthly, annual and even multiannual. Simultaneously, the software gives the user a graphical data variation, where irradiance in hours of bright sunlight (at Standard Test Conditions - STC: 1 kWh/m2) and variability are organized in a period range (hours, days or months). The sizing stage let to define the system architecture in terms of modules and batteries, i.e. estimate PV network and battery bank. Finally, after providing load, voltage level and autonomy, it proceeds to calculations, considering factors of safety.

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