Using a New Combination of P&amp;O and ICM Methods for the Experimental Validation of MPPT Efficacy

Halim, Ahmed A. El Baset A. El; Bayoumi, Ehab H.E.

doi:10.18280/jesa.540601

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Climate factors, like temperature and irradiance, have a direct impact on the I-V curve of a PV module, leading to deviations in its maximum power point (MPP) [62], [63]. Considering that, practical PV systems operate in dynamic conditions where these factors are continuously fluctuating, it becomes essential to continuously adjust the operating point of the PV module to match the new MPP [64], [65].…”

Section: Characteristics Of I-v and P-v Curvementioning

confidence: 99%

Optimizing The Maximum Power of Photovoltaic System Using Modified Incremental Conductance Algorithm Operating Under Varying Dynamic Climatic Conditions

M. Elzein,

Kurdi,

Harrye

2024

IJCDS

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In a photovoltaic system the challenge is to contentiously searching for the maximum power point to generate the maximum power (Pmax) within the system. In this study a hybrid maximum power point tracking module (MPPT) consisting of a well-known incremental conductance algorithm (INC) is being adapted to operate along with fuzzy logic controller (FLC). The new design focused on applying variable voltage step size estimations based on analyzing the degree of incremental and decremental of power to voltage relation. To achieve this, five effective regions were introduced around the maximum PV power point and FLC controlled the tunning and accurate adjustments of the duty ratio cycle step size by relying on the inputs of fuzzy logic controller to reach a zero oscillation around the MPP point. To adjust the duty cycle step size, fuzzy logic is established based on the position of the fuzzy input points which are derived from the current and voltage proportions and their derivatives, whereas the membership functions and rules are shaped. Matlab simulations were used under different irradiance levels to test the efficiency of tracking the maximum power. Based on the simulated results, the integration of fuzzy logic controller with incremental conductance algorithm provided enhanced performance in tracking the Pmax, and notable fast convergence time and provided the least oscillation around the maximum power point and thus maintained the overall tracking accuracy, and applying the proper step size to drive the operating point at the P-V curve in reaching Pmax under the effects of various environmental dynamic changes in temperature and irradiance.

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Section: Characteristics Of I-v and P-v Curvementioning

confidence: 99%

Optimizing The Maximum Power of Photovoltaic System Using Modified Incremental Conductance Algorithm Operating Under Varying Dynamic Climatic Conditions

M. Elzein,

Kurdi,

Harrye

2024

IJCDS

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“…In Grid-Connected Systems, standard power consumers are connected to the generator via an inverter (DC-AC converter) The task of the inverter is to transform the direct current coming out of the panels into an alternating current. In grid-connected systems, the inverter replaces the batteries, in this case, it is the basic element in these types of systems [10].…”

Section: Representation Of the Studied Systemmentioning

confidence: 99%

The Design and Simulation of a Photovoltaic System Connected to the Grid Using a Boost Converter

Fatima¹,

Habbati²,

Lousdad³

2022

JESA

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The objective of this paper is to present the modelling and simulation of the PV generation system connected to the network under MATLAB/Simulink. Firstly, a mathematical model of the Photovoltaic Module is developed taking meteorological data namely the irradiance and temperature as input variables needed to model this device. The output can be current, voltage or power. The model allows the prediction of the behavior and characteristics of the PV module based on the equivalent circuit of the mathematical model under different temperatures and solar radiation readings. Secondly the PV array is connected to the boost DC-DC converter, the control systems based on Maximum Power Point Tracking (MPPT) with P&O algorithm helps the PV array to generate the maximum power to the grid in case of changing weather conditions, then in the third step, it is integrated into AC power grid by DC/AC inverter to control active and reactive power to achieve unity power factor which is validated by satisfactory results. In this paper, different cases are simulated and the results verified the validity of the models.

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Using a New Combination of P&O and ICM Methods for the Experimental Validation of MPPT Efficacy

Cited by 2 publications

References 17 publications

Optimizing The Maximum Power of Photovoltaic System Using Modified Incremental Conductance Algorithm Operating Under Varying Dynamic Climatic Conditions

Optimizing The Maximum Power of Photovoltaic System Using Modified Incremental Conductance Algorithm Operating Under Varying Dynamic Climatic Conditions

The Design and Simulation of a Photovoltaic System Connected to the Grid Using a Boost Converter

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