This document discusses harnessing solar energy through an MPPT (maximum power point tracking) based control system using fuzzy logic. It begins with basics of solar photovoltaics including PV cells, modules, and arrays. It then covers MPPT techniques such as perturb and observe method and incremental conductance method. Finally, it discusses implementing fuzzy logic for MPPT control, including fuzzification, inference, and defuzzification steps. The goal is to use fuzzy logic's ability to handle imprecise inputs to provide a fast and accurate MPPT control system.
Its a comparison of performance of MPPT controllers in case of solar PV array under same working conditions. The MPPT controllers used are Artificial Neural Network and P&O based.
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...IJECEIAES
This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.
Brief description of solar PV system and study of Maximum Power point tracking techniques. Here two methods has been discussed - 1) Perturbation and observation 2) Incremental conductance.
The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point.
This work develops a three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array.
Its a comparison of performance of MPPT controllers in case of solar PV array under same working conditions. The MPPT controllers used are Artificial Neural Network and P&O based.
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...IJECEIAES
This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.
Brief description of solar PV system and study of Maximum Power point tracking techniques. Here two methods has been discussed - 1) Perturbation and observation 2) Incremental conductance.
The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point.
This work develops a three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array.
Advance Solar charge controller with lot of benefits. An advantage over common PWM Solar charge controller. Double Boost Technique is used to get a desired output.
These slides present the maximum power point tracking (MPPT ) algorithms for solar (PV) systems. Later of the class we will discuss on MPPT control of wind generators.
This slide presents an introduction to microgrid. This is the second class for the subject 'Distribution Generation and Smart Grid'. Class wise I will provide all the discussions and analysis.
The solar energy is converted to electrical energy by photo-voltaic cells. This energy is stored in batteries during day time for utilizing the same during night time. A charge controller, or charge regulator is basically a voltage and/or current regulator to keep batteries from overcharging. It regulates the voltage and current coming from the solar panels going to the battery.
Dc-Dc boost converter topologies and MPPT techniques for Grid connected PV sy...rameshwar meena
1. Modeling of Dc-Dc boost converter in MATLAB Simulink.
2. MATLAB Simulink of P&O techniques and Incremental conductance.
3. Ac grid connected to solar PV array via dc-dc boost converter and Dc-Ac converter.
Grid Interconnection of Renewable Energy Sources at the Distribution Level Wi...Pradeep Avanigadda
Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters.
This project presents a novel control strategy for achieving maximum benefits from these grid-interfacing inverters when installed in 3-phase 4-wire distribution systems.
The inverter can thus be utilized as:
1) power converter to inject power generated from RES to the grid &
2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current.
Advance Solar charge controller with lot of benefits. An advantage over common PWM Solar charge controller. Double Boost Technique is used to get a desired output.
These slides present the maximum power point tracking (MPPT ) algorithms for solar (PV) systems. Later of the class we will discuss on MPPT control of wind generators.
This slide presents an introduction to microgrid. This is the second class for the subject 'Distribution Generation and Smart Grid'. Class wise I will provide all the discussions and analysis.
The solar energy is converted to electrical energy by photo-voltaic cells. This energy is stored in batteries during day time for utilizing the same during night time. A charge controller, or charge regulator is basically a voltage and/or current regulator to keep batteries from overcharging. It regulates the voltage and current coming from the solar panels going to the battery.
Dc-Dc boost converter topologies and MPPT techniques for Grid connected PV sy...rameshwar meena
1. Modeling of Dc-Dc boost converter in MATLAB Simulink.
2. MATLAB Simulink of P&O techniques and Incremental conductance.
3. Ac grid connected to solar PV array via dc-dc boost converter and Dc-Ac converter.
Grid Interconnection of Renewable Energy Sources at the Distribution Level Wi...Pradeep Avanigadda
Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters.
This project presents a novel control strategy for achieving maximum benefits from these grid-interfacing inverters when installed in 3-phase 4-wire distribution systems.
The inverter can thus be utilized as:
1) power converter to inject power generated from RES to the grid &
2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current.
This paper presents the analysis, modeling and control of a grid connected photovoltaic generation system. The model contains a detailed representation of the solar array, grid side multilevel neutral point clamped voltage source inverter. Fuzzy logic controller for the maximum power point tracking of a photovoltaic system under variable temperature and insulation conditions is discussed. The PQ control approach has been presented for the multilevel inverter. One of the most common control strategies structures applied to decentralized power generator is based on power direct control employing a controller for the dc link voltage and a controller to regulate the injected current to the utility network. The proposed models were implemented in Matlab/Simulink.
Optimization of distributed generation of renewable energy sources by intelli...Beniamino Murgante
Optimization of distributed generation of renewable energy sources by intelligent techniques
Marcello Pucci – Institute for Studies on Intelligent Systems for Automation (I.S.S.I.A), National Research Council, Palermo (Italy)
Intelligent Analysis of Environmental Data (S4 ENVISA Workshop 2009)
Tracking of Maximum Power from Wind Using Fuzzy Logic Controller Based On PMSGIJMER
Wind energy has gained a growing worldwide interest due to the nonstop rise in fuel cost.
The main aim of the wind-energy system is to extract the maximum power present in the wind stream. In
order to extract the highest power, the maximum power point tracking (MPPT) algorithm is used. This
paper proposes the fuzzy logic MPPT controller to track the maximum power from the wind generation
system. The maximum power is achieved based on the rotor speed of the wind system which consists of
wind turbine and PMSG. The error and change in error is given as input to the fuzzy logic and its output
is connected to the boost converter. The voltage from the dc link is controlled by the Voltage Source
Inverter (VSI), and it is placed in grid side converter control. The proposed system is designed and
evaluated in MATLAB/SIMULINK. Simulation results show the good dynamic performance of the
proposed system
Development and Analysis of Fuzzy Control for MPPT Based Photovoltaic SystemIJERD Editor
In PV system control of Power electronics converters are very essential for the efficient utilization
of the solar System. This paper proposes modified Perturb & Observe Maximum power point tracking (MPPT)
with a fuzzy controller for DC-DC boost converter control in Photovoltaic system under shading and varying
atmospheric conditions. This paper proposes a different approach for MPPT of PV system so as to obtain
maximum power from PV system. In conventional methods, tracking power contains oscillation in the output
power. The Simulation and modeling of Photovoltaic system along with proposed algorithm are done using
MATLAB/SIMLINK software. Form Simulation results shows that P & O based fuzzy controller algorithm is
transient state is fast, less fluctuations and smooth in signal of generated power.
This paper presents a maximum power point (MPP) tracking method based on a hybrid combination between the fuzzy logic controller (FLC) and the conventional Perturb-and-Observe (P&O) method. The proposed algorithm utilizes the FLC to initialize P&O algorithm with an initial duty cycle. MATLAB/Simulink models consisting of, the photovoltaic system, boost converter and controllers, are built to evaluate the performance of the proposed algorithm. To accurately illustrate the performance of the proposed algorithm, comparisons with standalone FLC and P&O are carried out. The performance of the proposed algorithm is investigated difficult weather conditions including sudden changes and partial shading. The results showed that the proposed algorithm successfully reaches MPP in all scenarios.
A Survey on the Performance of the Various MPPT Techniques of Standalone PV G...IJSRD
Maximum Power Point Tracking (MPPT) controller is very important part of the solar generation system. This paper presents the basic need and the various methods and techniques of maximum power tracking (MPPT) control. Every technique of MPPT control is evaluated based on its ability to detect multiple maxima, efficiency of the output solar power, cost and way of implementation, rate of convergence etc. the Perturbation and Observation technique and Incremental conductance Technique are widely used in MPPT control due to their advantages.
AN ADAPTIVE EXTREMUM SEEKING CONTROL FOR REAL TIME OPTIMIZATION IN PHOTOVOLTA...Editor IJMTER
Extremum seeking control approach is a theory building a feedback system in such a
way that oscillation around the MPPT will boost the PV System efficiency .An alternative ESC
approach is to introduce a small amount of perturbation into the control system. Maximum Power
Point Tracker (MPPT) using extremum seeking control algorithm with emphasis in solar
photovoltaic (PV) system. The ESC is better because of its low cost ,high efficiency and good
power factor . Ripple Correlation Control(RCC) is used in first stage high pass filter along with the
relational operator to develop the system .The reason for choose RCC is due to its high voltage gain
and a low input current ripple which minimizes the oscillation at the module operation point .A
major advantage of ESC is that it is capable of improving the system performance .The variable
phase MPPT power ripple feedback signal developed by sensing and multiplying together PV array
.The entire system is simulated using Matlab simulink environment .The system is expected to be
operated with high efficiency and low cost long life time.
Power Quality Improvement in a Grid connected pv systemVijayMuni2
In this case, the network voltage has the symmetric voltage
sag and voltage swell with 30% of the voltage drop from
0.51 to 0.54 and 30% of the voltage swell from 0.54 to 0.57.
Fig. 9 shows the simulation results for symmetric Voltage
sag and voltage swell. To show the better performance of
the proposed method, the voltage difference between the
desired voltage, network voltage, and load voltage has been
investigated. In Fig. 10, the results of the proposed controller
method and the PWM switching method are compared to
prove the efciency of the proposed controller method.
STATCOM compensates for symmetrical voltage swell and
voltage sag with the PWM switching method, but the steady-
state voltage difference is greater than STATCOM with the
proposed control.
The power supplied by photovoltaic DC–DC converter is affected by two factors, sun irradiance and temperature. Therefore, to improve the performance of the PV system; a mechanism to track the maximum power point (MPP) is required. Conventional maximum power point tracking approaches, such as observation and perturbation technique present some difficulties in identifying the true MPP. Therefore, intelligent systems including fuzzy logic controllers (FLC) are introduced for the maximum power point tracking system (MPPT). In this paper, we present a comparative study of the PV standalone system which is controlled by three techniques. The first one is conventional based on the observation and perturbation technique, the other are intelligent based on fuzzy logic according Mamdani and Takagi-Sugeno models. The investigations show that the fuzzy logic controllers provide the best results and Takagi-Sugeno model presents the lower overshoot value.
Simulation of Optimal Control Strategy for a Solar Photovoltaic Power Systemijtsrd
This paper proposes a single stage PV system based on a linear quadratic regulator LQR . The system makes use of a single phase power converter connected to the grid connected system through an LCL filter. The PandO algorithm is used to generate the reference signal for the fluctuating dc bus voltage as well as to extract the maximum power from the solar panels. The proposed work has been carried out in MATLAB, and the results are presented. C. B. Sree Hara Vamsi | B. Kumar Reddy "Simulation of Optimal Control Strategy for a Solar Photovoltaic Power System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29786.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29786/simulation-of-optimal-control-strategy-for-a-solar-photovoltaic-power-system/c-b-sree-hara-vamsi
Maximum Power Point Tracking of PV Arrays using Different TechniquesIJERA Editor
The increasing demand for electricity and depleting fossil fuels made the solar Photovoltaic (PV) systems to be a better alternative for the future power requirements. The fact that the output of the PV system is dependent upon the solar irradiance and temperature demands a means to maximize the output of the PV system by continuously tracking the maximum power point(MPP) under changing atmospheric conditions. This paper presents the design and implementation of various techniques like perturb and observe (P&O) method, incremental conductance method, constant current method and constant voltage method. The performance of the techniques have been analyzed through simulation
Performance evaluation of Maximum Power Point Tracking algorithm with buck dc...IJERA Editor
The energy crisis concern leads to look for alternate source of energy. Solar energy is considered as most reliable
among the all renewable energy sources. Solar PV (Photovoltaic) is used to convert solar energy into electric
energy. The efficiency of solar PV is very low and its characteristic is nonlinear. To overcome these drawbacks a
technique known as maximum power point tracking is used. This algorithm is implemented in the control circuit
of DC – DC converter. The objective of this paper is to evaluate the MPPT (Maximum Power Point Tracking)
with buck DC-DC converter under load varying conditions. The simulation work is done using PSIM simulation
software.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
1. HARNESSING SOLAR ENERGY
THROUGH MPPT BASED CONTROL SYSTEM
USING FUZZY LOGIC
Presented By:
1. Mohd. Shadab Khan
2. Mohd. Wasim Khan
3. Mazir Abbasi
Supervised By:
Mr. Abrar Ahmad
2. CONTENTS
SOLAR PV
BASICS AND ITS
GRAPH
• Solar PV Basics
• Photovoltaic Graph
• Temperature graph
MPPT
TECHNIQUES
• Why MPPT?
• Techniques
• MPPT Curves
FUZZY LOGIC
• Basic
Concept
• Logic
• Application
s
4. INSIDE A SOLAR PV CELL
An ideal solar cell can be considered as a current source.
The current produced is proportional to solar irradiation falling on it.
A typical cell produces about 0.5 V to 1V.
Source: http://www.researchgate.net/publication/261132099_systems
Equations Involved
5. SOLAR CELL , MODULE & ARRAYS
Source: http://en.wikipedia.org/wiki/PV
Solar module
PV Array
6. SOLAR MODULE IN SERIES & PARALLEL
Source: ieeexplore.org/pv_basics_01.pdf
7. GENERIC I-V CURVE OF PV MODULE
Source: ieeexplore.org/pv_basics_01.pdf
8. P-V& I-V CURVE OF A SOLAR
MODULE
Source: http://en.wikipedia.org/wiki/PV
10. TEMPERATURE AND IRRADIANCE
EFFECT
Source: ieeexplore.org
1. With Increase of Temperature Voc decreases & corresponding Pout decreases.
2. With Increase of Irradiance Voc increases hence increase in Pout is observed.
11. SOLAR PARAMETERS
• Short Circuit Current (Isc): Short circuit current is max current produced by a
solar cell when its terminals are short circuited.
• Open Circuit Voltage (Voc): Open circuit voltage is the max voltage that can
be obtained from a solar cell when its terminals are left open. The upper limit of
Voc is decided by the band gap Eg.
• Fill Factor (FF): Fill Factor is defined as ratio of maximum power to the product
of Voc and Isc. FF is 1 for ideal case. Practically its value ranges from 0.8 to
0.89.
• FF = Vm x Im
Voc x Isc
• Efficiency : Efficiency is defined as ratio of maximum power of module to
power delivered by solar irradiance or it can be defined as ratio of product of
Voc ,Isc and FF to solar irradiance .
• Efficiency = Voc x Isc x FF
14. MAXIMUM POWER POINT TRACKING
To automatically find the voltage (VMPP) or current (IMPP) at which a
PV array should operate to obtain the maximum power output
(PMPP)under a given temperature and irradiance.
MPPT TOPOLOGY
Source: ieeexplore.org/pv_basics_01.pdf
15. CHOICE OF MPPT TECHNIQUE
IMPLEMENTATION
COMPLEXITY
SENSORS
REQUIRED
ABILITY TO
DETECT MULTIPLE
LOCAL MAXIMA
RESPONSE TIME
COST APPLICATION
16. I-V CURVES FOR DIFFERENT TEMPERATURE AND
IRRADIANCE LEVEL
Source: ieeexplore.org/pv01aop.1.pdf
17. P-V CURVES FOR DIFFERENT TEMPERATURE AND
IRRADIANCE LEVEL
Source: ieeexplore.org/pv_basics_01.pdf
19. NEED FOR MPPT
Source: http://en.wikipedia.org/wiki/PV
IRRADIANCE & TEMPERATURE VARIATION
LOW CONVERSION EFFICIENCY(9-17%)
TO MAXIMIZE OUTPUT POWER
TO MAXIMIZE THE EFFICIENCY
21. FIXED VOLTAGE METHOD
Source: http://www.pveducation.org/pvcdrom/mppt
Based on adjusting
the operating voltage
on a seasonal basis
1. Higher MPP during
winters
2. Lower MPP in
summers
Not very accurate , &
accuracy is increased
if irradiance variation
is minimized
22. FRACTIONAL OPEN CIRCUIT VOLTAGE
METHOD
Source: http://www.pveducation.org/pvcdrom/fc_mpp
Approximation
of VMPP is done
by finding the
open circuit
voltage
Value of K
depends on PV
technology used
and kind of solar
cell used
Not always point
to the MPP, but
only in the
region around
MPP
VMPP=
K*Voc
23. PERTURB & OBSERVE (P&O)/HILL CLIMBING
METHOD
Source: http://www.pveducation.org/pvcdrom/p&o
Direct measurement
of current, voltage
and power.
Faster and accurate
response
Incrementing the voltage
increases
the power when operating on
the
left of the MPP and decreases
the
power when on the right of
the MPP.
1
2
3
6
5
24. DRAWBACKS OF P&O METHOD
• Hill climbing and P&O methods can fail under rapidly changing
atmospheric conditions.
• The process is repeated periodically until the MPP is reached.
• The system oscillates about the MPP.
• Smaller perturbation size slows down the MPPT
• If the irradiance fluctuates
and shifts the power curve
within one sampling period,
the operating point will
fluctuate
Source: http://en.wikipedia.org/wiki/PV
25. INCREMENTAL CONDUCTANCE METHOD
Source: http://file.scirp.org/Html/4-1770016%5Ce05a0b9b-b3dc-49c5-9a11-7d933bb7a3a9.jpg
Based on the fact that slope of
PV:
1. Zero at MPP
2. Negative at right of MPP
3. Positive on left of MPP
.
.
Uses two sensors:
VOLTAGE & CURRENT
SENSORS to sense the
output voltage and current
ALGORITHM works by comparing
the ratio of derivative of
conductance with the
instantaneous conductance
When this instantaneous
conductance equals the
conductance of the solar then MPP
is reached
27. A QUICK REVIEW
Definition of fuzzy
Fuzzy – “not clear, distinct, or precise; blurred”
Definition of fuzzy logic
A form of knowledge representation suitable for notions that cannot be
defined precisely, but which depend upon their contexts.
Slowest FastestSlow Fast
Speed=0 Speed=1Speed=0.5 Speed=0.75
28. FUZZY CONTROLLER IN PV
Artificial intelligent
tool which computes
output based on
expert knowledge.
faster response
using the expert
knowledge and
measured data
base.
FL Algorithm is
chosen for PV
because of its fast
and accurate
response
Fuzzy logic
controller
algorithm is
based on three
steps
1-expert
knowledge, 2-
fuzzification &
inference diagram
3-defuzzification.
30. Acquisition of data(P,V)
Generate inputs for fuzzy logic control
Apply the fuzzy logic controller and obtain the
proper D value
Buck boost controller
STAR
T
RETUR
N
FUZZY LOGIC FLOWCHART IN
MPPT
31. HARDWARE MODELLING OF FUZZY IN
MPPT
FUZZIFICATIO
N
INFERENC
E
ENGINE
DEFUZZIFICATI
ON
FUZZY
RULE
BOX
FUZZY LOGIC CONTROLLER
PV
MODEL
BUCK
BOOST
CONVERTE
R
LOAD
FILTERING AND
GENERATION OF
FUZZY INPUT
VARIABLES
PWM
GENERATO
R Duty Ratio Command
32. REFRENCE
S
[1] Noppadol Khaehintung, Phaophak Sirisuk, and Anatawat Kunakorn, “Grid-connected photovoltaic
system with maximum power point tracking using self-organizing fuzzy logic controller”, IEEE Power
Electronics and Drives Systems, PEDS, Kuala Lumpur, 2005, pp. 517-521.
[2] Huan-Liang Tsai, “Insolation-oriented model of photovoltaic module using MATLAB/SIMULINK”, Solar
Energy 84, 2010, pp. 13181326.
[3] S.Lalouni, D. Rekioua, T. Rekioua, and E. Matagne, “Fuzzy logic control of sand-alone photovoltaic
system with battery storage”, Journal of Power Sources, Volume 193, Issue2, 5 September 2009, pp.
899-907.
[4] V. Salas, E. Olias, A. Barrado, and A. Lazaro, “ Review of the maximum power point tracking algorithms
for stand-alone photovoltaic systems”, Soalr Energy Materials & Solar Cells 90, 2006, pp. 1555-1578.
[5] M.S. Ait Cheikh, C. Larbes, G. F. Tchoketch Kebir, and A. Zerguerras, “Maximum power point tracking
using a fuzzy logic control scheme”, Revue des energies Renouvelables, Vol. 10, 2007, pp. 387-395.
[6] H.J. Möller, ‘Semiconductors for Solar Cells’, Artech House, Inc, Norwood, MA, 1993.
[7] R. Gottschalg, M. Rommel, D.G. Ineld and H. Ryssel, ‘Comparison of Different Methods for the