A novel linear tangents based P&amp;O scheme for MPPT of a PV system

Kota, Venkata Reddy; Bhukya, Muralidhar Nayak

doi:10.1016/j.rser.2016.12.054

Cited by 96 publications

(26 citation statements)

References 25 publications

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“…The P&O is one of the most used MPPT techniques in the literature and easily implemented in practice by most of the authors [26,35,42]. This technique relies upon the trial and error method in searching and following the MPP.…”

Section: Perturb and Observe Mpptmentioning

confidence: 99%

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

263

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Maximum power extraction from the photovoltaic (PV) system plays a critical role in increasing efficiency during partial shading conditions (PSC's). The higher cost and low conversion efficiency of the PV panel necessitate the extraction of the maximum power point (MPP). So, a suitable maximum power point tracking (MPPT) technique to track the MPP is of high need, even under PSC's. This study gives an extensive review of 23 MPPT techniques present in literature along with recent publications on various hardware design methodologies. MPPT classification is done into three categories, i.e. Classical, Intelligent and Optimisation depending on the tracking algorithm utilised. During uniform insolation, classical methods are highly preferred as there is only one peak in the P-V curve. However, under PSC's, the P-V curve exhibits multiple peaks, one global MPP (GMPP) and the remaining are local MPPs. Hence, Intelligent and Optimisation techniques came into limelight to differentiate the GMPP out of all LMPPs. Every MPPT technique has its advantages and limits, but a streamlined MPPT is drafted in numerous parameters like sensors required, hardware implementation, tracking in PSC's, cost, tracking speed and tracking efficiency. This present study aimed to address the advancement in this area for further research. Nomenclature C dc DC link capacitor V mpp voltage at maximum power point I mpp current at maximum power point P mpp power at maximum power point P-V curve power-voltage curve I-V curve current-voltage curve V oc PV open circuit voltage I sc PV short circuit current

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Section: Perturb and Observe Mpptmentioning

confidence: 99%

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

263

View full text Add to dashboard Cite

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“…Several MPPT methods have been developed to extract the maximum power in the PV system, such as perturbation and observation (P&O) [1], incremental conductance (IC) [2], fractional short circuit current [3], and fractional open circuit voltage [4]. The behavior of the fractional methods depends on a fixed point related to the open-circuit voltage and the short-circuit current of the PV system, respectively.…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking Method for Photovoltaic System Based on Enhanced Particle Swarm Optimization Algorithm Under Partial Shading Condition

Kamil¹,

Nasr²,

Alwash³

2020

IJIES

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The maximum power point tracking (MPPT) is an essential key to ensure that the photovoltaic (PV) system is operated at the highest possible power generation. This paper presents an efficient MPPT method for the PV system based on an enhanced particle swarm optimization algorithm to track the location of the global maximum power point, whatever its location changes in the search space under all environmental conditions, including the partial shading on strings. In this paper, the formulation of the conventional particle swarm optimization algorithm is enhanced to decrease the searching time and the oscillation of the generated output power as well as the power losses in the online tracking process. This enhancement can be achieved by utilizing a special time-varying weighting coefficient and removing the effect of some other coefficients in the conventional particle swarm optimization algorithm (PSO) that cause winding of the particles during the online tracking process. Test results verified the accuracy of the proposed method to track the global maximum power point with considering the effect of partial shading condition. The proposed method was also compared with other MPPT methods to verify the superiority of the proposed work. The obtained results reveal that the proposed method is effective to improve the tracking efficiency and reduce the tracking time and the number of iterations for the different irradiances and load conditions. The maximum number of iterations was 11 iteration and the highest tracking time was 0.273s with tracking efficiency of about 99.98%.

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“…The PV domain is the most efficient way of generating electricity [15], as it requires low operating costs. There is one unique point in the power versus voltage graph, where generated energy is maximum called maximum power point [6]. Maximum power point trackers are being used to make our system to operate at MPP [4].…”

Section: Introductionmentioning

confidence: 99%

Experimental Verification of MPPT Algorithms for Photovoltaic Systems

2020

IJRTE

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Changing meteorological conditions influence the output power of the Photovolataic systems, which affect the overall performance of the system, in turn reduces the overall efficiency. So, to draw maximal power from the PV system a technique called maximum power point tracking (MPPT) is incorporated. Two perturbations-based algorithms are presented in this paper are Perturb and Observe (P&O), and Modified drift-free perturb and observe (MP&O). Fixed step size duty ratio is used in both of these algorithms. The boost converter is used between the photovoltaic module and the resistive Load. The simulation and experimental results for 250W PV module are presented. The simulation studies are carried out in MATLAB SIMULINK. The algorithms are implemented using TMS320F28069M.

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A novel linear tangents based P&O scheme for MPPT of a PV system

Cited by 96 publications

References 25 publications

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Maximum Power Point Tracking Method for Photovoltaic System Based on Enhanced Particle Swarm Optimization Algorithm Under Partial Shading Condition

Experimental Verification of MPPT Algorithms for Photovoltaic Systems

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