MPPT technique based on improved evaluation of photovoltaic parameters for uniformly irradiated photovoltaic array

Murtaza, Ali Faisal; Chiaberge, Marcello; Spertino, Filippo; Shami, Umar Tabrez; Boero, Diego; Giuseppe, Mirko De

doi:10.1016/j.epsr.2016.12.030

Cited by 24 publications

(11 citation statements)

References 29 publications

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“…Another interesting observation can be noted from Fig. 24 that whenever outgoing current of PV module is immediately terminated during

V_{oc}

measurement (in an offline method), the PV module exhibits voltage spikes due to its internal physics of capacitive nature [26]. Consequently,

V_{oc}

cannot be measured immediately and these spikes may provoke the issue of insulation degradation of power electronics devices.…”

Section: Experimental Validation and Comparisonmentioning

confidence: 99%

Online fractional open‐circuit voltage maximum output power algorithm for photovoltaic modules

Nadeem

Sher

Murtaza

2020

IET Renewable Power Generation

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An efficient maximum power point tracking technique is developed, which realises the fractional open-circuit voltage (FOCV) algorithm through a unique on-line procedure. The proposed method continuously estimates the open-circuit voltage by measuring instantaneous voltage, current, and temperature of the photovoltaic module without disconnecting the power flow to the load. Simultaneously, the open-circuit voltage (V oc) value can be measured at any operating point of the I-V curve and does not require any perturbation to the specific point. Three methods i.e. proposed algorithm, analytical FOCV, and conventional offline FOCV are modelled in Matlab/Simulink environment and also the numerical computations are carried out. Finally, the proposed FOCV and the conventional offline FOCV are tested through the experimental setup. The comparative analysis indicates the following advantages: (i) interruption-free output power; (ii) accurate measurement of V oc under any weather condition, especially variable temperature condition; and (iii) continuous measurement and tracking of maximum power point (MPP). Owing to the aforementioned advantages, the proposed method exhibits better MPP tracking and superior dynamic plus steady-state efficiencies as compared to the analytical FOCV and conventional offline FOCV methods.

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“…Another interesting observation can be noted from Fig. 24 that whenever outgoing current of PV module is immediately terminated during

V_{oc}

measurement (in an offline method), the PV module exhibits voltage spikes due to its internal physics of capacitive nature [26]. Consequently,

V_{oc}

cannot be measured immediately and these spikes may provoke the issue of insulation degradation of power electronics devices.…”

Section: Experimental Validation and Comparisonmentioning

confidence: 99%

Online fractional open‐circuit voltage maximum output power algorithm for photovoltaic modules

Nadeem

Sher

Murtaza

2020

IET Renewable Power Generation

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“…To ensure that the PV system will operate at its best efficiency, many MPPT algorithms have been developed. A hybrid version of Perturb & Observe (P&O), shortcircuit current and open-circuit voltage techniques with improved relations are derived in [9]. In [10] the authors compare performances and tracking accuracy between the Bisection Numerical Algorithm (BNA) based MPPT with Fractional Short-Circuit Current (FSCC) and Fractional Open-Circuit Voltage (FOCV).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Experimental Assessment of a New MPPT Algorithm Based on the Direct Detection of the Short-Circuit Current for a PV System

Fapi¹,

Wira²,

Kampel³

2021

REPQJ

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To substantially increase the efficiency of photovoltaic (PV) systems, it is important that the Maximum Power Point Tracking (MPPT) system has an output close to 100%.This process is handled by MPPT algorithms such as Fractional Open-Circuit Voltage (FOCV), Perturb and Observe (P&O), Fractional Short-Circuit Current (FSCC), Incremental Conductance (INC), Fuzzy Logic Controller (FLC) and Neural Network (NN) controllers. The FSCC algorithm is simple to be implemented and uses only one current sensor. This method is based on the unique existence of the linear approximation between the Maximum Power Point (MPP) current and the short-circuit current in standard conditions. The speed of this MPPT optimization technic is fast, however this algorithm needs to short-circuit the PV panel each time in order to obtain the short circuit current. This process leads to energy losses and high oscillations. In order to improve the FSCC algorithm, we propose a method based on the direct detection of the shortcircuit current by simply reading the output current of the PV panel. This value allows directly calculating the short circuit current by incrementing or decrementing the solar irradiation. Experimental results show time response attenuation, little oscillations, power losses reduction and better MPPT accuracy of the enhanced algorithm compared to the conventional FSCC method.

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“…The performances and the anomalies related to several stage inverter architectures used for the prevalent MPPT techniques have been investigated in Murtaza et al (2017). A new hybrid MPPT algorithm has been proposed to quickly track the MPP of the PV arrays.…”

Section: Introductionmentioning

confidence: 99%

Neural network estimation of a photovoltaic system based on the MPPT controller

Slimene¹,

Aljaloud²

2020

Int. j. adv. appl. sci.

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MPPT is necessary to achieve an optimal exploitation of the photovoltaic (PV) system. This paper deals with the problem of the optimization of the power, delivered by the photovoltaic panel (PVP). To achieve this aim, a neural network estimator (NNE), followed by a conversion coefficient and a calculation stage of the optimal duty cycle, has been developed. The NNE is used to calculate the open circuit voltage corresponding to each solar radiation and to a various value of temperature, based only on the standard open circuit voltage. A coefficient, determining for each solar radiation the voltage of the maximum power directly from the open circuit voltage, is estimated by a practical test. Finally, the optimal duty cycle is, next, determined by the input/output equation of the boost converter. The proposed MPPT is tested and compared with the most widely used MPPT methods by simulations using MATLAB/Simulink and real time hardware in the loop (HIL) implementation. The results obtained with the proposed MPPT show excellent dynamic performance under fast irradiation changes.

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MPPT technique based on improved evaluation of photovoltaic parameters for uniformly irradiated photovoltaic array

Cited by 24 publications

References 29 publications

Online fractional open‐circuit voltage maximum output power algorithm for photovoltaic modules

Online fractional open‐circuit voltage maximum output power algorithm for photovoltaic modules

Real-Time Experimental Assessment of a New MPPT Algorithm Based on the Direct Detection of the Short-Circuit Current for a PV System

Neural network estimation of a photovoltaic system based on the MPPT controller

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