Maximum Power Point Tracking for PV Systems Using MATALAB/SIMULINK

Revankar, P.S.; Thosar, Archana; Gandhare, W. Z.

doi:10.1109/icmlc.2010.54

Cited by 24 publications

(11 citation statements)

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“…Also, we need to simulate also the PV characteristics to examine the MPPT system. Most of the researcher used MATLAB simulation which is very effective to simulate the PV systems [1][2][3]. In this paper, we utilized the LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) program.…”

Section: Introductionmentioning

confidence: 99%

LabVIEW Based Study for PV Module Characteristics and Their Maximum Power Point Tracking

Myint¹,

Kim

Lee

2013

2013 1st International Conference on Artificial Intelligence, Modelling and Simulation

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In this paper, we examined the solar module characteristics at standard test condition and different temperature and irradiance using LabVIEW software. For full utilization of photovoltaic(PV) system, it can be controlled by maximum power point tracking(MPPT) algorithm. The LabVIEW programing can easily implement perturb and observe (P&O) algorithm with various step sizes and their output characteristics. The results proved that the step size influence on the performance of the MPPT system. The bigger the step size, the less the tracking time but the more oscillation occurs in the steady state. Therefore, improved control system is required to solve that problem. The scheme that we devised can adjust the step size automatically to improve the MPPT speed and reduce the oscillation under steady state as well.

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Section: Introductionmentioning

confidence: 99%

LabVIEW Based Study for PV Module Characteristics and Their Maximum Power Point Tracking

Myint¹,

Kim

Lee

2013

2013 1st International Conference on Artificial Intelligence, Modelling and Simulation

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“…The photocurrent largely depends on the solar insolation and cell's working temperature, which is described as (2) where is the cell's short-circuit current at a 25°C and 1kW/m 2 , is the cell's short-circuit current temperature coefficient, is the cell's reference temperature, and λ is the solar insolation in kW/m2. [1] …”

Section: Solar Maximum Power Tracking System 21 Solar Panel Modelingmentioning

confidence: 99%

“…1(a). The voltage-current characteristic equation of a solar cell is given as (1) Where is r photocurrent, is the cell saturation of dark current, q (= 1.6 ×10 -19 C) is an electron charge, k (= 1.38 ×10−23J/K) is a Boltzmann's constant, T s is the cell's working temperature, A is an ideal factor, Rsh is a shunt resistance, and Rs is a series resistance. The photocurrent largely depends on the solar insolation and cell's working temperature, which is described as (2) where is the cell's short-circuit current at a 25°C and 1kW/m 2 , is the cell's short-circuit current temperature coefficient, is the cell's reference temperature, and λ is the solar insolation in kW/m2.…”

Section: Solar Maximum Power Tracking System 21 Solar Panel Modelingmentioning

confidence: 99%

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Comparison of Solar Maximum Power Tracking Methods for Stand Alone Solar Photo-voltaic System

Revankar¹,

Gandhare²

2017

IJCA

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Maximum Power Point Tracker (MPPTs) play a major role in photovoltaic (PV) power systems because they maximize power output from a PV system for a given set of conditions, and thereby maximizing the array efficiency. The paper presents the comparison of solar maximum power tracking methods for a stand-alone solar PV system. The I-V & P-V characteristics are obtained for different values of solar insolation by maintaining the cell temperature constant. The solar MPPT methods are responsible for deriving maximum possible power from photovoltaic module to the load via a boost converter used for stepping up the voltage to required magnitude. The main aim will be to track the maximum power point of the photovoltaic module to extract maximum power. The Maximum Power Point Tracking (MPPT) algorithms, which are based on the incremental conductance method and Perturb and Observe method, are also described. Both these algorithms are applied to stand-alone system feeding to 1kw load. The simulation results were presented to validate that the Incremental conductance approach has better steady state performance than the traditional P and O under various conditions along with improved efficiency of the PV system. The algorithm structure was built using MATLAB Simulink software.

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“…2, in the power-voltage characteristic curve of photovoltaic generator, there is a maximum point called the maximum power point (MPP). With the varying atmospheric condition and because of the rotation of the earth [3], the irradiation and temperature keeps on changing throughout the day. This makes a great challenge to operate the PV module consistently on the maximum power point, thus number of MPPT algorithms have been developed [4].…”

Section: Photovoltaic Power Generationmentioning

confidence: 99%

Optimizing the operation of a photovoltaic generator by a genetically tuned fuzzy controller

Drir¹,

Barazane²,

Loudini³

2013

Archives of Control Sciences

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This paper presents design and application of advanced control scheme which integrates fuzzy logic concepts and genetic algorithms to track the maximum power point in photovoltaic system. The parameters of adopted fuzzy logic controller are optimized using genetic algorithm with innovative tuning procedures. The synthesized genetic algorithm which optimizes fuzzy logic controller is implemented and tested to achieve a precise control of the maximum power point response of the photovoltaic generator. The performance of the adopted control strategy is examined through a series of simulation experiments which prove good tracking properties and fast response to changes of different meteorological conditions such as isolation or temperature.

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Maximum Power Point Tracking for PV Systems Using MATALAB/SIMULINK

Cited by 24 publications

References 1 publication

LabVIEW Based Study for PV Module Characteristics and Their Maximum Power Point Tracking

LabVIEW Based Study for PV Module Characteristics and Their Maximum Power Point Tracking

Comparison of Solar Maximum Power Tracking Methods for Stand Alone Solar Photo-voltaic System

Optimizing the operation of a photovoltaic generator by a genetically tuned fuzzy controller

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