Comparative Study Between P&amp;O and Incremental Conduction MPPT Techniques- A Review

Azad, Murari Lal; Sadhu, Pradip Kumar; Das, Soumya

doi:10.1109/iciem48762.2020.9160316

Cited by 22 publications

(11 citation statements)

References 20 publications

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“…This improvement speeds up the tracking process but the issue of oscillation is still there. Various improved versions of the P&O algorithm are summarized, including the improved P&O algorithm for the application of microgrid [19]. The Delta P&O algorithm is presented, where the conventional perturbation step size is replaced with a fixed step size to get the improved results [20].…”

Section: A Perturb and Observe (Pando) Algorithmmentioning

confidence: 99%

Technical Review of MPPT Algorithms for Solar Photovoltaic System: SWOT Analysis of MPPT Algorithms

Awan

2022

SSURJET

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To continuously operate the Photovoltaic (PV) system at its Maximum Power Point (MPP) under changing weather is a challenging task. To accomplish this, multiple MPP Tracking (MPPT) algorithms have been proposed, which can be portioned into two: 1) Conventional algorithms, have the strengths of a simple structure, fewer computations, and low memory requirement, and cheap implementation. Whereas, trapping under Partial Shading Conditions (PSC), steady-state oscillations, and system dependency are the associated drawbacks. Conversely, 2) Soft computing algorithms, perform efficiently under all weather conditions with zero steady-state oscillations, and are system independent. The structural complexities, giant computations, huge memory requirements, and expensive implementation, are the accompanying concerns. The core contribution of this study is to present a deep analysis of all the MPPT algorithms at the standard benchmarks defined in the published literature, for the readers so they could decide which algorithm to choose under certain circumstances.

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Section: A Perturb and Observe (Pando) Algorithmmentioning

confidence: 99%

Technical Review of MPPT Algorithms for Solar Photovoltaic System: SWOT Analysis of MPPT Algorithms

Awan

2022

SSURJET

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“…MPPT is based on moving the operating PV voltageorcurrent to regularly supply the load with the maximum power.Although there are large numbers of MPPT techniques have been developed to increase the PV system efficiency, P&O algorithm is used widely due to its easiness of implementation with the outstanding performance [17]- [18].…”

Section: Perturbandobserve (Pando) Mppt Algorithmmentioning

confidence: 99%

Design of Zeta Converter with MPPT Algorithm for Solar Photovoltaic Application Integrated with Battery

2020

IJATCSE

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This paper presents the design of a zeta converter with Maximum Power Point Tracking (MPPT) algorithm for solar Photovoltaic (PV) application integrated with battery. As the power produced from PV system is stochastic in nature due to the variation of solar irradiation and cell temperature throughout the day, a DC-DC converter with MPPT algorithm has been recognized as the primary solution. Zeta converter is chosen in this work due to its significantly lower output voltage ripple. The full model was designed using Matlab Simulink software where the performance of the zeta converter and PV module with MPPT algorithm will be analysed. Perturb and Observe (P&O) MPPT algorithm is used in this work due to its easiness of implementation with outstanding performance. From the simulation results, the designed zeta converter with P&O MPPT algorithm able to maintain the maximum efficiency to supply the load under constant and variable irradiance levels by modulating the zeta converter's duty cycle.

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“…On the other hand, the incremental conductance calculates the derivative of the power-voltage curve to dynamically adjust the operating point towards the MPP. This method offers improved accuracy compared to P&O but may still exhibit oscillations under rapidly changing atmospheric conditions [8,11].…”

Section: Introductionmentioning

confidence: 99%

Brain Inspired Intelligent Maximum Power Point Tracking Algorithm for Grid connected Photovoltaic System

Velpula,

Kona

2024

Preprint

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This paper proposes a novel brain inspired intelligent maximum power point tracking (BIIM) algorithm to enhance the performance of grid-connected solar photovoltaic (PV) system. A computational model for the algorithm is developed and implemented by mimicking the functionalities of amygdala, thalamus, orbitofrontal cortex and sensory cortex, present in the limbic system of the human brain. Conventional maximum power point tracking (MPPT) algorithms, such as perturb and observe (P&O) and incremental conductance (IC), often encounter challenges in achieving efficient and accurate maximum power point (MPP) tracking under varying environmental conditions. These algorithms exhibit slow convergence speed, oscillations around the MPP, and reduced tracking accuracy, leading to power losses and suboptimal photovoltaic system performance. To overcome these limitations, a novel brain-inspired intelligent MPPT (BIIM) algorithm has been proposed and implemented. The proposed BIIM algorithm incorporates the limbic system's ability to process sensory inputs, learn from past experiences, and make rapid decisions to achieve efficient MPPT. The efficacy of the proposed BIIM algorithm is comprehensively evaluated under various critical conditions, such as irradiance variations, temperature fluctuations, and grid faults. To validate the effectiveness of the proposed MPPT approach, comparative analysis was conducted with conventional MPPT algorithms such as P&O, proportional-integral (PI) controlled incremental conductance (IC-PI) and particle swarm optimization (PSO). The simulation results reveals the superior dynamic performance of the BIIM algorithm by reducing the response time, undershoot, along with increased efficiency and robustness.

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Comparative Study Between P&O and Incremental Conduction MPPT Techniques- A Review

Cited by 22 publications

References 20 publications

Technical Review of MPPT Algorithms for Solar Photovoltaic System: SWOT Analysis of MPPT Algorithms

Technical Review of MPPT Algorithms for Solar Photovoltaic System: SWOT Analysis of MPPT Algorithms

Design of Zeta Converter with MPPT Algorithm for Solar Photovoltaic Application Integrated with Battery

Brain Inspired Intelligent Maximum Power Point Tracking Algorithm for Grid connected Photovoltaic System

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