An Enhanced Adaptive Perturb and Observe Technique for Efficient Maximum Power Point Tracking Under Partial Shading Conditions

Mohammad, Altwallbah Neda Mahmod; Radzi, Mohd Amran Mohd; Azis, Norhafiz; Shafie, Suhaidi; Zainuri, Muhammad Ammirrul Atiqi Mohd

doi:10.3390/app10113912

Cited by 38 publications

(13 citation statements)

References 33 publications

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“…Despite the fact that P&O is one of the most popular MPPT algorithm in industry due to its simplicity [54,55]. Regardless of these assets, the major downsides are high chattering when the MPP is reached and the lack of success to achieve this point [56]. The latter are majorly related to the changes in temperature and solar irradiance [57].…”

Section: Perturb and Observationmentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

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Section: Perturb and Observationmentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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“…Under PSC, few peaks occur in the power-voltage (P-V) and currentvoltage (I-V) curves. Those unreal peaks are known as the local maxima power point (LMPP), and only one real peak is known as the global maxima power point (GMPP) [23][24][25][26]. The conventional P&O and IC methods would most likely fail to distinguish the GMPP.…”

Section: Introductionmentioning

confidence: 99%

Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading

et al. 2021

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This paper presents a novel modified Levy flight optimization for a photovoltaic PV solar energy system. Conventionally, the Perturb and Observe (P&O) algorithm has been widely deployed in most applications due to its simplicity and ease of implementation. However, P&O suffers from steady-state oscillation and stability, besides its failure in tracking the optimum power under partial shading conditions and fast irradiance changes. Therefore, a modified Levy flight optimization is proposed by incorporating a global search of beta parameters, which can significantly improve the tracking capability in local and global searches compared to the conventional methods. The proposed modified Levy flight optimization is verified with simulations and experiments under uniform, non-uniform, and dynamic conditions. All results prove the advantages of the proposed modified Levy flight optimization in extracting the optimal power with a fast response and high efficiency from the PV arrays.

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“…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]. Usually, these methods take the instantaneous values of output voltage of PV module or current to generate the control signals, using a reference voltage, reference current, or duty ratio for maximum power point tracking.…”

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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An Enhanced Adaptive Perturb and Observe Technique for Efficient Maximum Power Point Tracking Under Partial Shading Conditions

Cited by 38 publications

References 33 publications

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading

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

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