An Improved Perturb and Observe Maximum Power Point Tracking Algorithm for Photovoltaic Systems

Satif, Amal; Hlou, Laamari; Elgouri, Rachid

doi:10.1109/repsgie.2018.8488832

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…To estimate and maximise the power output, the programme integrates a predictive model of the photovoltaic system. It is shown that the suggested method performs better in terms of power extraction efficiency and cost-effectiveness than conventional MPPT methods [27]. The efficacy of the suggested approach in attaining efficient power extraction under diverse operating situations is confirmed by simulation and experimental outcomes.…”

Section: Common Topologies Used In Pv Systemsmentioning

confidence: 71%

A Systematic Review of Boost Converter Design Methodologies for Optimizing Photovoltaic Output

Shou Hin,

Mohamad Nor

2023

IJCERT

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This paper offers a systematic review of boost converter design methodologies, a pivotal component in optimizing photovoltaic system outputs. It comprehensively analyzes various converter topologies, focusing on their operational principles and efficiency in solar energy conversion. The study delves into the intricate challenges of maximizing efficiency under diverse environmental conditions, emphasizing the need for adaptive and robust converter designs. It explores recent technological advancements, highlighting how they address these challenges and contribute to improved photovoltaic performance. The review aims to provide a broad understanding of current trends in converter technology and suggests future research directions, particularly in developing more versatile and efficient converters to better harness solar energy. This work serves as a foundational resource for practitioners and researchers in renewable energy, offering insights into enhancing the efficacy of photovoltaic systems. This comprehensive review examines various boost converter designs for optimizing photovoltaic output, revealing key findings. It was found that certain topologies offer significant advantages in terms of efficiency and adaptability to environmental changes. The paper also highlights the evolving nature of converter technology, showing promising directions in handling solar energy fluctuations. These insights are crucial for advancing photovoltaic system efficiency and reliability, offering a roadmap for future research in renewable energy technology.

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Section: Common Topologies Used In Pv Systemsmentioning

confidence: 71%

A Systematic Review of Boost Converter Design Methodologies for Optimizing Photovoltaic Output

Shou Hin,

Mohamad Nor

2023

IJCERT

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“…Neural networks are trained by the given data sets, nonlinear optimization iterative schemes are used by ANN tool to find the parameter ζ which minimizes the error function of Equation (5).…”

Section: Reference Voltage Generation By Annmentioning

confidence: 99%

“…Refs. [4,5] presented the perturb and observe algorithm (P&O) along with its different variants in which the operating point of the panel oscillates around the maximum power point. The basic principle of this method is to observe the change of power by perturbing the operating voltage in regular intervals.…”

Section: Introductionmentioning

confidence: 99%

Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation

et al. 2020

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The problem of extracting maximum power from a photovoltaic (PV) system with negligible power loss is concerned with the power generating capability of the PV array and nature of the output load. Changing weather conditions and nonlinear behavior of PV systems pose a challenge in tracking of varying maximum power point. A robust nonlinear controller is required to ensure maximum power point tracking (MPPT) by handling nonlinearities of a system and making it robust against changing environmental conditions. Sliding mode controller is robust against disturbances, model uncertainties and parametric variations. It depicts undesirable phenomenon like chattering, inherent in it causing power and heat losses. In this paper, a supertwisting sliding mode algorithm based nonlinear robust controller has been designed for MPPT of a PV system which not only removes the chattering but also enhances the overall system’s dynamic response. Moreover, supertwisting sliding mode controller is robust against changing environmental conditions like change in temperature and irradiance. Noninverting DC-DC Buck-Boost converter has been used as an interface between source and the load. The efficiency of MPPT of a PV system depends upon the accuracy of reference for peak power voltage, therefore an efficient mechanism for reference generation has also been proposed in this work. The reference for peak power voltage has been generated by using a trained artificial neural network, which is to be tracked by proposed nonlinear controllers. Sliding mode controller (SMC) and synergetic controllers have also been designed for MPPT of a PV system in order to compare them with supertwisting sliding mode controller (ST-SMC). Global asymptotic stability of the system has been ensured by using Lyapunov stability criterion. The performance of the proposed nonlinear controllers has been validated in MATLAB/Simulink ODE 45 environment. ST-SMC has also been compared with recently proposed integral backstepping controller and other conventional MPPT controllers given in the literature. The simulation results show the better performance of ST-SMC in terms of best dynamic response and robustness.

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Improved Widrow-Hoff Based Adaptive Control of Multi-Objective PV-DSTATCOM System

Modi

Kumar

Singh

2018

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)

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An Improved Perturb and Observe Maximum Power Point Tracking Algorithm for Photovoltaic Systems

Cited by 4 publications

References 10 publications

A Systematic Review of Boost Converter Design Methodologies for Optimizing Photovoltaic Output

A Systematic Review of Boost Converter Design Methodologies for Optimizing Photovoltaic Output

Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation

Improved Widrow-Hoff Based Adaptive Control of Multi-Objective PV-DSTATCOM System

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