scholarly journals SIMULATION OF RECONFIGURATION SYSTEM USING MATLAB-SIMULINK ENVIRONMENT

2018 ◽  
Vol 34 (2) ◽  
pp. 127-143
Author(s):  
Ngo Ngoc Thanh ◽  
Nguyen Phung Quang

Reconfiguration strategy is intended to minimize losses and increase efficiency of the photovoltaic (PV) system under non-homogeneous solar irradiation based on irradiance equalization. The reconfiguration system (RS) includes: irradiance equalization algorithms which is effective in the calculation to find optimal configuration; dynamic electrical scheme (DES) switching matrix which is controlled to obtain the optimal configuration for PV array. The recent publications focus on bringing out the algorithms with the aim to select the optimal connection configuration and control DES switching matrix. However, no published work has used Matlab-simulink to simulate RS operation. In this paper, the author uses the Matlab-simulink environment to simulate RS operation. Through results, the model demonstrates that with RS, the effectiveness of the PV array performance can rise by 10-50% under non-homogeneous solar irradiation.

Solar Energy ◽  
2003 ◽  
Author(s):  
Kazuya Yoshioka ◽  
Tadashi Saitoh ◽  
Satoru Yatabe

This paper predicts relationship between array performance and surrounding ambient including installation conditions for PV array installed on building walls. A PV system assumed for calculation is a PV array installed on the north, south, east and west walls of a building which was constructed as a NEDO field-test project. In the case of performance simulation for the actual PV system, calculated performance generally agrees with real measured data. Based on them, produced electrical energy is simulated as a function of ground albedo, array tilt angle and space between the PV array and the wall for installation. In addition, shading effect on produced electrical energy is also estimated by assuming some neighboring buildings. Effect of sub-array installation on different walls on DC power output is also estimated.


2013 ◽  
Vol 64 (4) ◽  
Author(s):  
Hadi Nabipour Afrouzi ◽  
Saeed Vahabi Mashak ◽  
Zulkurnain Abdul-Malek ◽  
Kamyar Mehranzamir ◽  
Behnam Salimi

Renewable energy plays an important role in the national energy policy especially in reducing greenhouse gas emissions. For a photovoltaic (PV) system, one important consideration is the cost of the system. One needs to select the best PV array from a range of selection, that is, the one which is the most efficient and with a best price. This article illustrates a method to compute the size and cost of a required PV array, and then after to compute the required battery for the case of a photovoltaic building in Malaysia. The computation is simulated using Matlab integrated with suitable mathematical equations. The generated current and power of the PV array are calculated for daily solar irradiation in Malaysia. The computation enables the user to quickly compute the initial cost needed to be spent if a given PV system is to be installed. A typical building requiring 12 kWh daily energy with 6 kW peak demand load was shown to need at least 114 solar modules at a cost of about RM53k. It is noted that the main cost of the whole PV system is mainly contributed by the cost of the chosen PV array. Hence, the right choice of a PV module is vital in achieving the minimum cost.


Author(s):  
G Vaddikasulu , Meneni Saigeetha

Maximum power point techniques (MPPT) are used in photovoltaic system to make full utilization of PV array output power. The output power of PV array is always changing with weather conditions i.e., solar irradiation and atmospheric temperature. PV cell generates power by converting sunlight into electricity. The electric power generated is proportional to solar radiation. PV cell can generate around 0.5 to 0.8 volts. During cloudy weather due to varying insolation levels the output of PV array varies. The MPPT is a process which tracks the maximum power from array and by increasing the duty cycle of the DC-DC boost converter, the output voltage of the system is increased. This paper presents the cuckoo mppt technique for PV system along with SMC controller methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency


Author(s):  
Touheed Khan ◽  
Mohammed Asim ◽  
Mohammad Saood Manzar ◽  
Md Ibrahim ◽  
Shaikh Sadaf Afzal Ahmed

<p><span lang="EN-US">This work proposes an adaptive filter based on a new least mean sixth control approach with incremental conductance method of MPP for 3-phase grid-incorporated photovoltaic (PV) system. The proposed system comprises a PV array, 3-phase DC to AC converter, maximum power point tracker (MPPT), three-phase electronic load, and a 3-phase grid. The combination of solar PV array and the voltage source converter (VSC) supplies power to the grid. The 3-phase inverter as a distribution static synchronous compensator (D-STATCOM) improves the quality of the system performance in case of zero solar irradiation. D-STATCOM also reduces total harmonic distortion (THD) in grid currents, improves power factor, and maintainsa constant voltage at the point of common coupling (PCC). The system modelling and simulation is achieved on MATLAB/Simulink. The proposed system performance has been found satisfactory and conform to IEEE-519 standards.</span></p>


Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1512
Author(s):  
Mithun Madhukumar ◽  
Tonse Suresh ◽  
Mohsin Jamil

Photovoltaic (PV) systems have recently been recognized as a leading way in the production of renewable electricity. Due to the unpredictable changes in environmental patterns, the amount of solar irradiation and cell operating temperature affect the power generated by the PV system. This paper, therefore, discusses the grid-integrated PV system to extract maximum power from the PV array to supply load requirements and the supply surplus power to the AC grid. The primary design is to have maximum power point tracking (MPPT) of the non-uniformly irradiated PV array, conversion efficiency maximization, and grid synchronization. This paper investigates various MPPT control algorithms using incremental conductance method, which effectively increased the performance and reduced error, hence helped to extract solar array’s power more efficiently. Additionally, other issues of PV grid-connected system such as network stability, power quality, and grid synchronization functions were implemented. The control of the voltage source converter is designed in such a way that PV power generated is synchronous to the grid. This paper also includes a comparative analysis of two MPPT techniques such as incremental conductance (INC) and perturb-and-observe (P&O). Extensive simulation of various controllers has been conducted to achieve enhanced efficient power extraction, grid synchronization and minimal performance loss due to dynamic tracking errors, particularly under fast-changing irradiation in Matlab/Simulink. The overall results favour INC algorithm and meet the required standards.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Muamer M. Shebani ◽  
Tariq Iqbal

In recent years, one of the suitable solar photovoltaic (PV) applications is a water pumping system. The simplest solar PV pumping system consists of PV array, DC-DC converter, DC motor, and water pump. In this paper, water pumping system sizing for Libya is evaluated based on a daily demand using HOMER software, and dynamic modeling of a solar PV water pumping system using a Permanent Magnet DC (PMDC) motor is presented in Matlab/Simulink environment. The system performance with maximum power point tracking (MPPT) based on Fractional Open Circuit Voltage (FOCV) is evaluated with and without a battery storage system. In some applications, a rated voltage is needed to connect a PMDC motor to a PV array through a DC-DC converter and in other applications the input voltage can vary. The evaluation of the system is based on the performance during a change in solar irradiation. Using Matlab/Simulink, simulation results are assessed to see the efficiency of the system when it is operating at a specific speed or at the MPPT. The results show that an improvement in the system efficiency can be achieved when the PMDC motor is running at a specific speed rather than at the peak PV power point.


2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Abdelkhalek Chellakhi ◽  
Said El Beid ◽  
Younes Abouelmahjoub

This paper is aimed at harvesting the photovoltaic systems extracting power under difficult irradiance and load conditions, by proposing a novel maximum power point tracking (MPPT). This proposed MPPT tactic has been examined under various climatic and load conditions using two powerful and accurate simulation environments for PV systems, MATLAB/Simulink and Proteus. The first implementation using the MATLAB/Simulink software was carried out to examine the performance of the novel MPPT tactic under sudden insolation and load change, where the second implementation using the Proteus software was carried out in order to prove that the novel MPPT tactic can be easily implemented using low-cost components, Arduino board, and LCD display. The simulation results prove that the novel MPPT tactic has a high convergence speed to locate the MPP, especially at fast solar irradiation and load variation with zero oscillation under steady-state operation, which takes less than 9.6 milliseconds (ms) under the MATLAB/Simulink software and 0.24 microseconds (μs) under Proteus environment. That means it is about six times faster than P&O and five times faster than INC MPPT methods, and its tracking efficiency is between 99.40% and 99.86%. Furthermore, the novel MPPT tactic shows the best tracking accuracy and better ability to mitigate power losses under overall simulation scenarios compared with other traditional MPPT methods.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4529
Author(s):  
Zvonimir Šimić ◽  
Danijel Topić ◽  
Ilija Crnogorac ◽  
Goran Knežević

This paper presents a method for finding an optimal photovoltaic (PV) system according to Croatian legislation. The PV sizing model, in which a decision on investment is made according to economic indicators, is made using MATLAB Software. Based on the input data, the monthly PV system production is calculated, and electricity price formed. According to the PV system production and electricity price, economic indicators are calculated and obtained as output data. The model input data are solar irradiation, load diagram, PV system costs and market price of electricity while the model output data are PV system production, savings, profit, incomes, Net Present Value (NPV) and Levelized Cost of Electricity (LCOE). The obtained economic indicators are presented graphically and used for decision making on an optimal PV system size. The presented model is applied and presented in a case study.


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