Claim Missing Document
Check
Articles

Found 7 Documents
Search

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT Chandani Sharma; Anamika Jain
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 6, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.037 KB) | DOI: 10.11591/ijpeds.v6.i3.pp625-635

Abstract

With an increase of Green Technology applications, Photovoltaic have emerged as the most appropriate solution for electricity generation purposes. However, due to variable temperature and irradiance, under the partial or shaded conditions Maximum Power Point Tracking is needed to determine highest efficiency of the system. The paper describes dynamic modeling and control of variable temperature and irradiance on solar panel in SIMULINK-MATLAB environment. The implementation of Buck Converter is used for power switching and impedance matching on connecting the panel to the load. The effectiveness of the model, with enhanced efficiency through voltage stabilization, is performed using Proportional-Integral-Derivative and Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on the basis of outputs to deal with online set point variations. FLC gives closer results to Standard Test Conditions when compared with PID. The Fuzzy system developed, using tested membership functions serve as a platform for sustainable standalone and grid-based applications using distributed MPPT.   With an increase of Green Technology applications, Photovoltaic have emerged as the most appropriate solution for electricity generation purposes. However, due to variable temperature and irradiance, under the partial or shaded conditions Maximum Power Point Tracking is needed to determine highest efficiency of the system. The paper describes dynamic modeling and control of variable temperature and irradiance on solar panel in SIMULINK-MATLAB environment. The implementation of Buck Converter is used for power switching and impedance matching on connecting the panel to the load. The effectiveness of the model, with enhanced efficiency through voltage stabilization, is performed using Proportional-Integral-Derivative and Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on the basis of outputs to deal with online set point variations. FLC gives closer results to Standard Test Conditions when compared with PID. The Fuzzy system developed, using tested membership functions serve as a platform for sustainable standalone and grid-based applications using distributed MPPT.      
Modeling of Buck Converter Models in MPPT using PID and FLC Chandani Sharma; Anamika Jain
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1774

Abstract

PV has become universal for power utility applications in comparison to conventional technologies when it comes to economic competitiveness. As the efficiency of solar PV panel is low, it becomes mandatory to extract maximum power from the PV panel at any given period of time. Maximum Power and efficiency in Photovoltaics can be improved by Maximum Power Point tracking even under distributed temperature and irradiance functions. The paper attempts to compare two different Buck converter models based on predictive control. The two converter models using State space differential equation and direct component in MATLAB/SIMULINK are optimized through PID and FLC to obtain increased gain and desired converter output. A PV system connected with Buck converter using an intelligent controller (FLC) for extracting maximum power at different environmental conditions is proposed and the results are compared with conventional PID controller.
Entrepreneurship Through Start-ups in Hill Areas Using Photovoltaic Systems Chandani Sharma; Anamika Jain
Bulletin of Electrical Engineering and Informatics Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1600.472 KB) | DOI: 10.11591/eei.v6i2.613

Abstract

There is large potential for generating solar power in Uttarakhand (India) endowed with natural resources. The extensive use of solar energy through solar PV panels in Distributed and Renewable Electricity Generation is significant to utilize multi climatic zones of hilly areas. In this regard, UREDA (Uttarakhand Renewable Energy Development Agency) targets to achieve a huge boost of solar PV battery backup with approved subsidy budget of INR 6 billion to 50 billion by 2019/20 under JNNSM (Jawaharlal Nehru National Solar Mission). This investment will increase productivity, enhance employment opportunities and improve quality of education. However, maximization of power output from panels used for same is achieved through use of MPPT (Maximum Power Point Trackers). The commercially installed solar power systems can be made to accomplish higher efficiency by implementing MPPT systems in start ups. In this paper, the effort is made to use MPPT system designed by intelligent controller for implementation in PV based utility systems. The regulated voltage output from MPPT system is obtained irrespective of fluctuations in environment. These variations are tested for changing temperature and irradiance due to shading or partial unavailability of sun. The results of same have been optimized through MATLAB/SIMULINK. The model designed is intended to be a beneficial source for PV engineers and researchers to provide high efficiency with the use of MPPT.
Entrepreneurship Through Start-ups in Hill Areas Using Photovoltaic Systems Chandani Sharma; Anamika Jain
Bulletin of Electrical Engineering and Informatics Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1600.472 KB) | DOI: 10.11591/eei.v6i2.613

Abstract

There is large potential for generating solar power in Uttarakhand (India) endowed with natural resources. The extensive use of solar energy through solar PV panels in Distributed and Renewable Electricity Generation is significant to utilize multi climatic zones of hilly areas. In this regard, UREDA (Uttarakhand Renewable Energy Development Agency) targets to achieve a huge boost of solar PV battery backup with approved subsidy budget of INR 6 billion to 50 billion by 2019/20 under JNNSM (Jawaharlal Nehru National Solar Mission). This investment will increase productivity, enhance employment opportunities and improve quality of education. However, maximization of power output from panels used for same is achieved through use of MPPT (Maximum Power Point Trackers). The commercially installed solar power systems can be made to accomplish higher efficiency by implementing MPPT systems in start ups. In this paper, the effort is made to use MPPT system designed by intelligent controller for implementation in PV based utility systems. The regulated voltage output from MPPT system is obtained irrespective of fluctuations in environment. These variations are tested for changing temperature and irradiance due to shading or partial unavailability of sun. The results of same have been optimized through MATLAB/SIMULINK. The model designed is intended to be a beneficial source for PV engineers and researchers to provide high efficiency with the use of MPPT.
Entrepreneurship Through Start-ups in Hill Areas Using Photovoltaic Systems Chandani Sharma; Anamika Jain
Bulletin of Electrical Engineering and Informatics Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1600.472 KB) | DOI: 10.11591/eei.v6i2.613

Abstract

There is large potential for generating solar power in Uttarakhand (India) endowed with natural resources. The extensive use of solar energy through solar PV panels in Distributed and Renewable Electricity Generation is significant to utilize multi climatic zones of hilly areas. In this regard, UREDA (Uttarakhand Renewable Energy Development Agency) targets to achieve a huge boost of solar PV battery backup with approved subsidy budget of INR 6 billion to 50 billion by 2019/20 under JNNSM (Jawaharlal Nehru National Solar Mission). This investment will increase productivity, enhance employment opportunities and improve quality of education. However, maximization of power output from panels used for same is achieved through use of MPPT (Maximum Power Point Trackers). The commercially installed solar power systems can be made to accomplish higher efficiency by implementing MPPT systems in start ups. In this paper, the effort is made to use MPPT system designed by intelligent controller for implementation in PV based utility systems. The regulated voltage output from MPPT system is obtained irrespective of fluctuations in environment. These variations are tested for changing temperature and irradiance due to shading or partial unavailability of sun. The results of same have been optimized through MATLAB/SIMULINK. The model designed is intended to be a beneficial source for PV engineers and researchers to provide high efficiency with the use of MPPT.
Simulink Based Multi Variable Solar Panel Modeling Chandani Sharma; Anamika Jain
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Solar Energy, the most abundant and widely used Renewable Energy is not only reliable, scalable but serves solution to global warming around the world. This energy is used for electricity generation using Photovoltaics (PV) converting Solar Energy into electricity. Photovoltaics (PV) play significant role for future Distributed and Renewable Energy Generation Systems (DG). This study is an effort to visualize simulation tool for solar cell array under rapidly changing solar radiation and temperature by inserting a test signal in the control input. The main objective is to find the parameters of the nonlinear I-V and P-V equation by locating the curve at three points: short circuit current, open circuit voltage and maximum power. Future Smart Grids can be optimized if computerized and designed using mathematical modeling and simulation system at STC. Case study relative to factors including weather and seasonal variations is tested through SIMULINK model. Predicted changes are configured for determination of MPP. The proposed model is based on variations by changing absorption of light with physical inspections for data corresponding to low and high temperatures. DOI: http://dx.doi.org/10.11591/telkomnika.v12i8.6071
Distributed MPP Tracking of PV through Buck Converter Using Fuzzy Chandani Sharma; Anamika Jain
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp197-208

Abstract

Photovoltaics (PV) are the most abundant, perennial, environment friendly and distributed source of energy all over the globe. In this paper, the method to increase PV extraction efficiency for 60W panel with improved DMPP (Distributed Maximum Power Point) even on changing temperature and irradiance have been mapped and discussed. In order to achieve this, the components and subsystems have been analyzed and validated. The validated models are used to maximize the power output using two different models of DC-DC Converters in MATLAB/SIMULINK environment. Closed loop Buck converter using state space nonlinear differential equations and direct component model are compared to reveal best results at Standard Test Conditions (STC). MPPT model developed can be used for obtaining maximum power output from PV even in partial presence of sun using Fuzzy Logic Controller. The Controller designed tracks highest power output for the buck converter. The model developed, using tested membership functions in FLC, can serve a platform for various real time applications using PV.