Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data

Al-Majidi, Sadeq D.; Abbod, Maysam F.; Al-Raweshidy, Hamed S.

doi:10.3390/electronics8080858

Cited by 50 publications

(30 citation statements)

References 36 publications

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“…In addition, I os1 and I os2 are the saturation current of each diode separately. The second step of PV cell modeling is to evaluate the unknown parameters of Equations (1) and (3). The number of parameters to determine depends on the used equivalent-circuit model (e.g., five parameters for the single-diode model (I ph , I os , R s , R sh ,), and seven parameters for the double-diode The second step of PV cell modeling is to evaluate the unknown parameters of Equations (1) and (3).…”

Section: Double-diode Modelmentioning

confidence: 99%

“…The second step of PV cell modeling is to evaluate the unknown parameters of Equations (1) and (3). The number of parameters to determine depends on the used equivalent-circuit model (e.g., five parameters for the single-diode model (I ph , I os , R s , R sh ,), and seven parameters for the double-diode The second step of PV cell modeling is to evaluate the unknown parameters of Equations (1) and (3). The number of parameters to determine depends on the used equivalent-circuit model (e.g., five parameters for the single-diode model ( ℎ , , , ℎ , ), and seven parameters for the double-diode model ( ℎ , 1 , 2 , , ℎ ,  1 ,  2 )) [5].…”

Section: Double-diode Modelmentioning

confidence: 99%

“…Due to the high increase of petroleum prices and imposed politics on industrial countries to reduce CO 2 levels, the use of renewable sources to produce energy has become an obligation. Accordingly, different solutions are used to cover energy needs while respecting clean and eco-friendly requirements [1]. Generally, wind, hydro, and solar sources of energy show an appropriate solution ensuring green electricity for diverse industrial and domestic applications.…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning Based Approaches for Modeling the Output Power of Photovoltaic Array in Real Outdoor Conditions

Malvoni

Chaibi

2020

Electronics

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It is important to investigate the long-term performances of an accurate modeling of photovoltaic (PV) systems, especially in the prediction of output power, with single and double diode models as the configurations mainly applied for this purpose. However, the use of one configuration to model PV panel limits the accuracy of its predicted performances. This paper proposes a new hybrid approach based on classification algorithms in the machine learning framework that combines both single and double models in accordance with the climatic condition in order to predict the output PV power with higher accuracy. Classification trees, k-nearest neighbor, discriminant analysis, Naïve Bayes, support vector machines (SVMs), and classification ensembles algorithms are investigated to estimate the PV power under different conditions of the Mediterranean climate. The examined classification algorithms demonstrate that the double diode model seems more relevant for low and medium levels of solar irradiance and temperature. Accuracy between 86% and 87.5% demonstrates the high potential of the classification techniques in the PV power predicting. The normalized mean absolute error up to 1.5% ensures errors less than those obtained from both single-diode and double-diode equivalent-circuit models with a reduction up to 0.15%. The proposed hybrid approach using machine learning (ML) algorithms could be a key solution for photovoltaic and industrial software to predict more accurate performances.

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Section: Double-diode Modelmentioning

confidence: 99%

Section: Double-diode Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine Learning Based Approaches for Modeling the Output Power of Photovoltaic Array in Real Outdoor Conditions

Malvoni

Chaibi

2020

Electronics

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show abstract

“…On the other hand, the surrounding environment, which includes solar irradiance and ambient temperature, affects the amount of energy that is generated by PV systems [1]. Therefore, a control that is associated with maximum power point tracking (MPPT) should provide an appropriate duty cycle, so that DC-DC converters can obtain the maximum level of energy from PV modules [2][3][4]. Several studies for MPPT methods have been developed, with the best-known methods being perturb and observe (P&O) [5], extremum seeking control methods (ESC) [6], and incremental conductance algorithm (INC) [7].…”

Section: Introductionmentioning

confidence: 99%

Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach

et al. 2021

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This paper proposes a new method for maximum power point tracking (MPPT) of the photovoltaic (PV) system while using a DC-DC boost converter. The conventional perturb and observe (P&O) method has a fast tracking response, but it presents oscillation around the maximum power point (MPP) in steady state. Therefore, to satisfy transient and steady-state responses, this paper presents a MPPT method using support vector machines (SVMs). The use of SVM will help to improve the tracking speed of maximum power point of the PV system without oscillations near MPP. A boost converter is used to implement the MPPT method, where the input voltage of the DC-DC converter is regulated using a double loop where the inner loop is a current control that is based on passivity. The MPPT structure is validated by hardware in the loop, a real time and high-speed simulator (PLECS RT Box 1), and a digital signal controller (DSC) are used to model the PV system and implement the control strategies, respectively. The proposed strategy presents low complexity and it is implemented in a commercial low-cost DSC (TI 28069M). The performance of the MPPT proposed is presented under challenging experimental profiles with solar irradiance and temperature variations across the panel. In addition, the performance of the proposed method is compared with the P&O method, which is traditionally most often used in MPPT under demanding tests, in order to demonstrate the superiority of the strategy presented.

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“…Different control strategies have been proposed to enhance performance of DC-DC converters, ranging from the widely used Proportional-Integral and Proportional-Integral-Derivative controllers [7][8][9], sliding mode control [10], passivity-based control [11], fuzzy logic controllers [12,13] or poles placement [14], for instance.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Approximation and Synthesis of a PID Controller for a Buck Converter

et al. 2020

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In this paper, the approximation of a fractional-order PIDcontroller is proposed to control a DC–DC converter. The synthesis and tuning process of the non-integer PID controller is described step by step. A biquadratic approximation is used to produce a flat phase response in a band-limited frequency spectrum. The proposed method takes into consideration both robustness and desired closed-loop characteristics, keeping the tuning process simple. The transfer function of the fractional-order PID controller and its time domain representation are described and analyzed. The step response of the fractional-order PID approximation shows a faster and stable regulation capacity. The comparison between typical PID controllers and the non-integer PID controller is provided to quantify the regulation speed introduced by the fractional-order PID approximation. Numerical simulations are provided to corroborate the effectiveness of the non-integer PID controller.

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Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data

Cited by 50 publications

References 36 publications

Machine Learning Based Approaches for Modeling the Output Power of Photovoltaic Array in Real Outdoor Conditions

Machine Learning Based Approaches for Modeling the Output Power of Photovoltaic Array in Real Outdoor Conditions

Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach

Fractional-Order Approximation and Synthesis of a PID Controller for a Buck Converter

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