scholarly journals Indirect Vector Controlled Asynchronous Motor Drive’s Dynamic Performance and Analysis with A New Modified MPPT Controller

2018 ◽  
Vol 7 (2.7) ◽  
pp. 570
Author(s):  
B Pakkiraiah ◽  
Pallam Paul Ratnakanth ◽  
Ch Haribabu ◽  
O Chandra Sekhar
Keyword(s):  
Variable Temperature ◽  
Dynamic Performance ◽  
Asynchronous Motor ◽  
Weather Conditions ◽  
Future Generation ◽  
Operating Conditions ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Point Tracking ◽  
Mppt Controller

Generation of electricity from the PV system has nowadays chosen as a best energy collecting source, due to its abundance availability and also to save the conventional energy sources to the future generation. Because all the conventional sources are coming to an extinct. That is the reason, everybody are looking towards the available renewable energy resources like wind, solar, bio mass, ocean, tidal and geothermal. But, upon those, solar and wind sources are maximum preferred sources, due to their easy availability and easy way of collection of energy. This paper presents a modeling of solar photovoltaic (PV) array with a new modified maximum power point tracking (MPPT) controller, which enhances the PV system performance even at abnormal weather conditions. That the existed MPPT controllers were developed based upon the ideal characteristics of constant irradiance with variable temperature and constant temperature with variable irradiance. To overcome the above problem a practical data is considered for designing of MPPT controller which is based upon variable irradiance. But here, it is developed with the variable irradiance and variable temperature with better performance of the system. The output obtained from the PV with a new modified MPPT is given to the boost converter with an inverter to find the dynamic performance of an indirect vector controlled asynchronous motor drive under different operating conditions. For inverter control, a space vector modulation (SVM) algorithm is used, in which the calculation of switching times is proportional to the instantaneous values of the reference phase voltages. The dynamic performance responses like phasor current, torque and speed of the drive by the new modified MPPT along with SVM controlling technique of the inverter are compared and analyzed with the existed method for different operating conditions.  

scholarly journals Improved dynamic performance of photovoltaic panel using fuzzy Logic-MPPT algorithm

2021 ◽  
Vol 21 (2) ◽  
pp. 617
Author(s):  
Khalid W. Nasser ◽  
Salam J. Yaqoob ◽  
Zainab A. Hassoun
Keyword(s):  
Fuzzy Logic ◽  
Solar Irradiance ◽  
Dynamic Performance ◽  
Weather Conditions ◽  
Maximum Efficiency ◽  
Photovoltaic Panel ◽  
Point Tracking ◽  
Pv Panel ◽  
Mppt Controller ◽  
Power Point

The nonlinear characteristics and intense credence dependence of photovoltaic (PV) panel on the solar irradiance and ambient temperature demonstrate important challenges for researchers in the PV panel topic. To overcome these problems, the maximum power point tracking (MPPT) controller is needed which can improve the PV panel efficiency. In other words, for maximum efficiency, the MPPT controller can help to extract the optimal and overall available output power from the PV panel at different output load conditions. Fuzzy logic (FL) is one of the strongest techniques in the extracting of MPP in the PV panel since it has several advantages; robust; no requirement to have an accurate mathematical model, and works with imprecise inputs. Therefore, in this paper, fuzzy logic (FL-MPPT) has been designed and simulated to improve dynamic performance PV panel at different solar irradiance and then increased the efficiency. Therefore, "MATLAB/Simulink software" has been used to build the proposed algorithm and the simulation results have been adequate as well. Besides, a robust FL-MPPT algorithm has been presented with high dynamic performance under different weather conditions. Finally, the proposed algorithm has a quicker response and less oscillatory comparison of the conventional algorithms in the subject of extracting the maximum PV power.

scholarly journals A Comparative Study and Analysis on Conventional Solar PV Based DC-DC Converters and MPPT Techniques

2018 ◽  
Vol 11 (3) ◽  
pp. 831 ◽  
Author(s):  
Premkumar Manoharan ◽  
Karthick K ◽  
Sowmya R
Keyword(s):  
Thermal Power ◽  
Photovoltaic Module ◽  
Atmospheric Conditions ◽  
Solar Pv ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Power Sources ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Solar Pv System

<p>As electricity demand escalated with supply, though there are lot of thermal power station, nuclear energy and other conventional power sources. Yet, there is exhaustion in the above assets and adding dangerous impacts to the atmospheric conditions.  The world searches for sustainable power source that it is normally accessible such as sun and wind. Apart from all the renewable energy resources, solar energy is readily harnessed for domestic application to meet demand. To increase the power conversion efficiency from the solar PV system it is better have a perfect DC to DC converters. The proposed outcome of this paper is to outline the DC to DC converter with MPPT algorithms to concentrate on extreme productivity at roof-top for solar PV application which decreases the cost of energy. In addition to that it also prevents panel miss matching at all environmental conditions for safer DC Voltage with flexible site design especially for domestic applications from the solar photovoltaic module. It is necessary to analyze the converters and MPPT algorithms under closed loop condition for the design and installation of solar PV system to the load or to the grid. This review summarizes few DC to DC converter topologies, maximum power point tracking algorithm and also paid attention on the advantages and disadvantages of these algorithms and topologies.</p>

Radial Basis Function Network Based MPPT for Photovoltaic System during Shading Condition

2013 ◽  
Vol 448-453 ◽  
pp. 1474-1479
Author(s):  
Mahamad Abd Kadir ◽  
Saon Sharifah
Keyword(s):  
Radial Basis Function ◽  
Basis Function ◽  
Variable Temperature ◽  
Radial Basis Function Network ◽  
Photovoltaic System ◽  
Pv System ◽  
Rbf Network ◽  
Point Tracking ◽  
Radial Basis ◽  
Temperature Constant

The output powers of photovoltaic (PV) system are crucially depending of the two variable factors, which are the cell temperatures and solar irradiances. A method to utilize effectively the PV is known as a maximum power point tracking (MPPT) method. This method is extract the maximum available power from PV module by making them operates at the most efficient output. This paper presents Radial Basis Function (RBF) Network to control the MPPT of PV system. The performances of the controller is analyzed in four conditions with are constant irradiation and temperature, constant irradiation and variable temperature, constant temperature and variable irradiation, and variable temperature and irradiation. The proposed system is simulated by using MATLAB-SIMULINK. According to the results, RBF controller has shown better performance during partially shaded conditions.

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 Intelligent Control of a Photovoltaic Generator for Charging and Discharging Battery Using Adaptive Neuro-Fuzzy Inference System

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
El Hadji Mbaye Ndiaye ◽  
Alphousseyni Ndiaye ◽  
Mactar Faye ◽  
Samba Gueye
Keyword(s):  
Intelligent Control ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Weather Conditions ◽  
Pv System ◽  
Inference System ◽  
Point Tracking ◽  
Neuro Fuzzy ◽  
Bus Voltage ◽  
Power Point

This paper presents a method of intelligent control of a photovoltaic generator (PVG) connected to a load and a battery. The system consists of charging and discharging a battery. An intelligent algorithm based on adaptive neuro-fuzzy inference system (ANFIS) is presented in this work. It performs two separate tasks simultaneously. First, it is used as a PVG Maximum Power Point Tracking (MPPT) command. This same algorithm is used secondly for protecting the battery against deep charges and discharges. A regulation of the DC bus voltage is also carried out by means of a PI corrector for a good supply of the load. The simulation results under MATLAB/Simulink show that the method proposed in this work allows the PV system to function normally by charging and discharging the battery whatever the weather conditions.

Photovoltaic Grid-Connected Generation Gnalog Device Gesign

2014 ◽  
Vol 577 ◽  
pp. 494-497
Author(s):  
Xue Feng Bai ◽  
Shi Qiu ◽  
Pei Li
Keyword(s):  
Single Phase ◽  
Solar Photovoltaic ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Control Scheme ◽  
New Energy ◽  
Power Point

With the reduction of non-renewable energy resources, energy conservation and development of new energy has become an important strategic plan around the world. Photovoltaic technology is also developing rapidly with more and more applications of solar energy. The project designed a set of solar photovoltaic grid-connected power generation analog devices. In this paper, the maximum power point tracking, DC-AC inverter technology, SPWM control technology related to single-phase grid-connected PV system have been studied, a comprehensive theoretical has been analyzed and to develop the relevant control scheme and design a set of simulator based on MSP430F169 microcontroller. The experimental results have met the target and achieved the desired effect.

scholarly journals Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic

2021 ◽  
Vol 229 ◽  
pp. 01013
Author(s):  
Hassan Essakhi ◽  
Sadik Farhat ◽  
Mohamed Mediouni ◽  
Yahya Dbaghi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Photovoltaic System ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Dynamic Performances ◽  
Mppt Controller ◽  
Power Point

This paper deals with analysis, modeling, and simulation of a Photovoltaic (PV) system with an intelligent Maximum Power Point Tracking (MPPT) controller based on fuzzy logic and to compare the dynamic performances: rapidity and stability of a fuzzy controller with the traditional controller based on the “Perturb and Observe” algorithm (P&O). The system is simulated under Simulink/Matlab environment. The simulation results show that the fuzzy MPPT controller is faster and more stable during abrupt changes in irradiation values.

Sign in / Sign up

Export Citation Format

Share Document