SOLAR PHOTOVOLTAIC-BASED DC MICROGRID TESTING UNDER REAL-WORLD OPERATING CONDITIONS

2021 ◽  
Author(s):  
P. Torres ◽  
T. Costa ◽  
L. Araújo ◽  
J.A.V. Filho ◽  
S. Williamson ◽  
...  
Keyword(s):  
Real World ◽  
Operating Conditions ◽  
Solar Photovoltaic ◽  
Dc Microgrid

scholarly journals Fault Detection in DC Microgrids Using Short-Time Fourier Transform

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 277
Author(s):  
Ivan Grcić ◽  
Hrvoje Pandžić ◽  
Damir Novosel
Keyword(s):  
Fourier Transform ◽  
Fault Detection ◽  
Operating Conditions ◽  
Time Signal ◽  
Short Time Fourier Transform ◽  
Dc Microgrid ◽  
Protection Scheme ◽  
Simulink Model ◽  
Battery Energy ◽  
Short Time

Fault detection in microgrids presents a strong technical challenge due to the dynamic operating conditions. Changing the power generation and load impacts the current magnitude and direction, which has an adverse effect on the microgrid protection scheme. To address this problem, this paper addresses a field-transform-based fault detection method immune to the microgrid conditions. The faults are simulated via a Matlab/Simulink model of the grid-connected photovoltaics-based DC microgrid with battery energy storage. Short-time Fourier transform is applied to the fault time signal to obtain a frequency spectrum. Selected spectrum features are then provided to a number of intelligent classifiers. The classifiers’ scores were evaluated using the F1-score metric. Most classifiers proved to be reliable as their performance score was above 90%.

A High Gain Novel Double-Boost Converter for DC Microgrid Applications

2020 ◽  
Vol 29 (15) ◽  
pp. 2050246 ◽  
Author(s):  
B. N. Ch. V. Chakravarthi ◽  
G. V. Siva Krishna Rao
Keyword(s):  
Control Strategies ◽  
High Gain ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Dc Microgrid ◽  
Boost Converters ◽  
Power Point ◽  
Solar Photovoltaic System ◽  
Conversion Stage ◽  
And Control

In solar photovoltaic (PV)-based DC microgrid systems, the voltage output of the classical DC–DC converter produces very less voltage as a result of poor voltage gain. Therefore, cascaded DC–DC boost converters are mandatory for boosting the voltage to match the DC microgrid voltage. However, the number of devices utilized in the DC–DC conversion stage becomes higher and leads to more losses. Thereby, it affects the system efficiency and increases the complication of the system and cost. In order to overcome this drawback, a novel double-boost DC–DC converter is proposed to meet the voltage in DC microgrid. Also, this paper discusses the detailed operation of maximum power point (MPP) tracking techniques in the novel double-boost DC–DC converter topology. The fundamental [Formula: see text]–[Formula: see text] and [Formula: see text]–[Formula: see text] characteristics of solar photovoltaic system, operational details of MPP execution and control strategies for double-boost DC/DC converter are described elaborately. The proposed converter operation and power injection into the DC microgrid are verified through the real-time PSCAD simulation and the validation is done through the experiment with hardware module which is indistinguishable with the simulation platform.

New Photovoltaic Module Model And A Comparative Study of MPPT Control Techniques Based On Neural Networks

2021 ◽  
pp. 69-76
Author(s):  
Mourad Talbi ◽  
Nawel Mensia ◽  
Hatem Ezzaouia
Keyword(s):  
Renewable Energy ◽  
Comparative Study ◽  
Temporal Variations ◽  
Operating Conditions ◽  
Maximum Power ◽  
Energy Resources ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Mppt Controller ◽  
Power Point

Nowadays, renewable energy resources play an important role in replacing conventional fossil fuel energy resources. Solar photovoltaic (PV) energy is a very promising renewable energy resource, which rapidly grew in the past few years. The main problem of the solar photovoltaic is with the variation of the operating conditions of the array, the voltage at which maximum power can be obtained from it likewise changes. In this paper, is first performed the modelling of a solar PV panel using MATLAB/Simulink. After that, a maximum power point tracking (MPPT) technique based on artificial neural network (ANN) is applied in order to control the DC-DC boost converter. This MPPT controller technique is evaluated and compared to the “perturb and observe” technique (P&O). The simulation results show that the proposed MPPT technique based on ANN gives faster response than the conventional P&O technique, under rapid variations of operating conditions. This comparative study is made in terms of temporal variations of the duty cycle (D), the output power ( out P ), the output current ( out I ), the efficiency, and the reference current ( ref I ). The efficiency, D, out P , and out I are the output of the boost DC-DC, and ref I is itsinput. The different temporal variations of the efficiency, D, ref I , out P , and out I (for the two cases: the first case, when T = 25°C and G =1000 W/m2 and the second case, when T and G are variables), show negligible oscillations around the maximum power point. The used MPPT controller based on ANN has a convergence time better than conventional P&O technique.

Application of the Software System of Finite Element Analysis for the Simulation and Design Optimization of Solar Photovoltaic Thermal Modules

2020 ◽  
pp. 106-131 ◽  
Author(s):  
Vladimir Panchenko ◽  
Sergey Chirskiy ◽  
Valeriy Vladimirovich Kharchenko
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Solar Cells ◽  
Heat Removal ◽  
Operating Conditions ◽  
Temperature Fields ◽  
Thermal Mode ◽  
Solar Photovoltaic ◽  
Element Analysis ◽  
Ansys System

The chapter discusses the simulation of thermal operating conditions and the optimization of the design of solar photovoltaic thermal modules. As a realization of the developed method, two photovoltaic thermal modules with one-sided solar cells with one-sided heat removal and two-sided solar cells with two-sided heat removal are presented. The components of the developed models of solar modules must be optimized on the basis of the required indicators of the thermal mode of operation of the modules. For this task, a method has been developed for visualizing thermal processes using the Ansys system of finite element analysis, which has been used to research thermal modes of operation and to optimize the design of the modules created. With the help of the developed method, the temperature fields of the module components, coolant velocity and its flow lines in the developed models of a planar photovoltaic thermal roofing panel and a concentrator photovoltaic thermal two-sided module are visualized.

scholarly journals Impact Study on Power Generation from Photovoltaic System due to Change in Local Irradiance and Temperature at Kathmandu Valley, Nepal

2017 ◽  
Vol 12 (1) ◽  
pp. 1-9
Author(s):  
Manish Shrestha ◽  
Nawraj Bhattarai
Keyword(s):  
Meteorological Data ◽  
Operating Conditions ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Kathmandu Valley ◽  
Solar Photovoltaic ◽  
Impact Study ◽  
Simulation And Experiment ◽  
Solar Photovoltaic System ◽  
The Impact

Solar Photovoltaic system has become popular among the renewable energy due to free availability and low maintenance costs. Economically, the decreasing cost from continuous development adds another motive for the use of photovoltaic system. There has been a continuous study regarding the estimation on output of the photovoltaic system, in normal operating conditions. The output is subject to variations due to various environmental factors. The aim of this study is to evaluate how Design of Experiments (DoE) Method is used to model the impact of meteorological data on the electric power generated by the photovoltaic system. In this paper, the simulation and experiment based analysis has been presented and the degree of impact of irradiance and temperature on the output power of the photovoltaic module has been illustrated.Journal of the Institute of Engineering, 2016, 12(1): 1-9

scholarly journals THE INFLUENCE OF DUST AND TEMPERATURE ON THE EFFICIENCY OF SOLAR PHOTOVOLTAIC MODULES

2021 ◽  
pp. 44-52
Author(s):  
R.R. Vardanyan ◽  
N.K. Badalyan
Keyword(s):  
Economic Effect ◽  
Experimental Studies ◽  
Operating Conditions ◽  
Dust Particles ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Ambient Temperatures ◽  
Pv Modules ◽  
Negative Effect ◽  
Viable System

At present, the use of solar photovoltaic (PV) modules plays an important role in the field of utilization of solar energy and transformation of this energy into electricity. The main characteristic of PV modules is the work efficiency. It strongly depends on external influences such as the degree of contamination on the glass surface and the operating temperature of the PV modules. Accumulation of dust particles on the surface of PV modules has a very negative effect on their efficiency. At high ambient temperatures, solar PV modules heat up, and the efficiency of modules is reduced. This problem is very substantial for the countries with high temperature conditions and dusty climate. In this paper, the influence of dust and temperature on the efficiency of solar PV modules is investigated. The new-type economically viable system for cleaning and cooling PV modules is used during the experiments. The conducted experimental studies under actual operating conditions during the rainiest period of the year in Yerevan, have shown that due to the cleaning of dust, the efficiency of PV modules is increasing on average by 6.7%. Due to rapid cooling by water in two minutes, the efficiency of PV modules is increased by 2.5%. To improve the operation efficiency, the PV modules must be cooled periodically, taking into consideration the quantity of the consumed water in order to get the maximal economic effect.

scholarly journals Equivalent Sliding Mode Controller for Stability of DC Microgrid

2021 ◽  
Vol 12 (1) ◽  
pp. 23
Author(s):  
Muhammad Rashad ◽  
Uzair Raoof ◽  
Nazam Siddique ◽  
Bilal Ashfaq Ahmed
Keyword(s):  
Reactive Power ◽  
Sliding Mode ◽  
Voltage Regulation ◽  
Pi Controller ◽  
Operating Conditions ◽  
Dc Microgrid ◽  
Dc Microgrids ◽  
Central Controller ◽  
The Stability ◽  
Decentralized Architecture

DC microgrids are gaining popularity due to their lack of reactive power compensation, frequency synchronization, and skin effect problems. However, DC microgrids are not exempted from stability issues. The stability of DC microgrids based on decentralized architecture is presented in this paper. Centralized architecture can degrade system performance and reliability due to the failure of a single central controller. Droop with proportional integral (PI) controller based on decentralized architecture is being used for DC microgrid stability. However, droop control requires a tradeoff between voltage regulation and droop gain. Further, global stability through PI controller cannot be verified and controller parameters cannot be optimized with different operating conditions. To address limitations, an equivalent sliding mode (SM) controller is proposed for a DC microgrid system in this paper. Detailed simulations are carried out, and results are presented, which show the effectiveness of an equivalent SM controller.

scholarly journals Voltage Stability Enhancement for Microgrid Using an SVC

2020 ◽  
Vol 18 (4.2) ◽  
pp. 39
Author(s):  
Dinh-Nhon Truong ◽  
Mi Sa Nguyen Thi ◽  
Van-Tri Bui ◽  
Thanh-Liem Tran
Keyword(s):  
Voltage Stability ◽  
Fuzzy Inference ◽  
Operating Conditions ◽  
Small Scale ◽  
Solar Photovoltaic ◽  
Inference System ◽  
Damping Characteristics ◽  
Voltage Stability Enhancement ◽  
Simulation Results ◽  
Stability Enhancement

This paper presents comparative simulation results of a Microgrid (MG) system using a Static Var Compensator (SVC) for improving the voltage stability of the studied system. An Adaptive Neural Fuzzy Inference System (ANFIS) controller is designed based on the feedback signals to control the proposed SVC. For simplicity, the studied MG system can be modeled as an equivalent small scale wind turbine generator (WTG) combine with a Solar Photovoltaic (PV) and a Battery that connected to the common AC bus. A time-domain approach based on nonlinear model simulations is systematically performed. By observing the simulation results it can be concluded that the designed ANFIS controller for SVC can offer better damping characteristics of the studied MG system under severe operating conditions

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