Systematic Evaluation of Photovoltaic MPPT Algorithms Using State-Space Models Under Different Dynamic Test Procedures

Riquelme-Dominguez, Jose Miguel; Martínez, Sergio

doi:10.1109/access.2022.3170714

Cited by 17 publications

(9 citation statements)

References 32 publications

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“…The difficulty of nonlinear time-varying systems is simplified in this way using the state space approach, which first tracks MPP and then reduces the problem to the more conventional one of dynamic system stability. Along with a time-varying dynamic feedback controller, a state space model that makes use of a time-averaged switch model is used in the execution of this approach [83]. This technique ensures that there is global asymptotic stability, discovers MPP even when there are variations in the weather, and is less affected by changes in both the parameters and the load.…”

Section: Q State Space Control Methodsmentioning

confidence: 99%

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

et al. 2023

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The authors would like to thank "Universidad Panamericana" for their support through the project "Estudio de topologías de convertidores de cd-cd" grand number: UP-CI-2022-GDL-06-ING."ABSTRACT Renewable energy utilization is the only suitable solution to diminish the increasing level of greenhouse gas emissions, fuel costs, and energy crisis in the next generation. Out of many renewable sources, solar energy sources that are clean, green, and emission-free have gained wide utilization despite their intermittency nature. Several solar photovoltaic (PV) panels are connected in series-parallel to achieve the energy demand. In such a system, it is possible that each panel operates differently due to uneven temperature and irradiation that results in uniform and partial shading conditions. Thus, a unique and efficient mechanism is required to extract maximum power from uniformly and partially shaded PV systems. Numerous maximum power point tracking (MPPT) methods have been developed to increase the efficiency and lifetime of photovoltaic systems. This study provides a unique, in-depth, and organized review of MPPT methods under four categories: classical, intelligent, optimization, and hybrid techniques. All possible selection benchmarks are considered to do a comprehensive review, which is not deliberated in the existing review literature. Based on the selection benchmarks, the advantages and disadvantages of each MPPT technique under different categories are summarized in tabulated form. To address the research gaps for further investigation in this field, a concise discussion is included at the end. This review article may find an accessible reference for engineers to understand the most useful MPPT method and to undertake extensive research in PV systems.

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Section: Q State Space Control Methodsmentioning

confidence: 99%

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

et al. 2023

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“…The PV system is operated such that it generates maximum power for the present solar irradiation G and temperature T by adjusting the voltage V PV across the PV generator. Among the many available maximum power point tracking (MPPT) algorithms for PV systems, the perturb and observe (P&O) algorithm is still widely used in many industrial applications due to its simplicity [37], [38]. Consequently, this MPPT algorithm is employed in this article and the flow chart of the algorithm is shown in Fig.…”

Section: Maximum Power Point Trackingmentioning

confidence: 99%

Real-Time Discrete Electro-Thermal Model of Dual Active Bridge Converter for Photovoltaic Systems

Pushpalatha,

Philipps,

Baumann

et al. 2024

IEEE J. Emerg. Sel. Topics Power Electron.

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Renewable energy systems have stochastic generation profiles, which affect the performance of the power electronic converters in these systems, especially due to the excessive thermal cycling. In particular, the power semiconductor devices, the most vulnerable components in the power electronic converters, with excessive variation in the junction temperature have reduced lifetime and reliability. Simulating the thermal behaviour of the power devices to study the variations for long periods is not feasible with traditional simulation tools. Consequently, realtime simulations are carried out in such situations. This article presents a real-time discrete electro-thermal model of the dual active bridge converter operating in a photovoltaic system to study the junction temperature variations of the SiC MOSFETs. This model is realized using a low-cost development board with a real-time dual-core microcontroller. This model can subsequently be used to complement the real-time tuning of smart gate drivers to enhance the performance of the SiC MOSFETs. The real-time model is based on experimental data and its performance has been validated using commercially available simulation software.

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“…Thanks to its ease of implementation and its simplicity, the P & O algorithm is the most commonly used [54]. As its name suggests, it is based on the disturbing the PV system and then observing the future impact of the added disturbance on the PV generator.…”

Section: Control Approaches and Energy Management Strategymentioning

confidence: 99%

Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage

Hamed

Sbita

et al. 2022

Sensors

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This paper highlights a robust optimization and power management algorithm that supervises the energy transfer flow to meet the photovoltaic (PV) electric vehicle demand, even when the traction system is in motion. The power stage of the studied system consists of a triple-junction PV generator as the main energy source, a lithium-ion battery as an auxiliary energy source, and an electric vehicle. The input–output signal adaptation is made by using a stage of energy conversion. A bidirectional DC-DC buck-boost connects the battery to the DC-link. Two unidirectional boost converters interface between the PV generator and the DC link. One is controlled with a maximum power point tracking (MPPT) algorithm to reach the maximum power points. The other is used to control the voltage across the DC-link. The converters are connected to the electric vehicle via a three-phase inverter via the same DC-link. By considering the nonlinear behavior of these elements, dynamic models are developed. A robust nonlinear MPPT algorithm has been developed owing to the nonlinear dynamics of the PV generator, metrological condition variations, and load changes. The high performance of the MPPT algorithm is effectively highlighted over a comparative study with two classical P & O and the fuzzy logic MPPT algorithms. A nonlinear control based on the Lyapunov function has been developed to simultaneously regulate the DC-link voltage and control battery charging and discharging operations. An energy management rule-based strategy is presented to effectively supervise the power flow. The conceived system, energy management, and control algorithms are implemented and verified in the Matlab/Simulink environment. Obtained results are presented and discussed under different operating conditions.

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Systematic Evaluation of Photovoltaic MPPT Algorithms Using State-Space Models Under Different Dynamic Test Procedures

Cited by 17 publications

References 32 publications

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

Real-Time Discrete Electro-Thermal Model of Dual Active Bridge Converter for Photovoltaic Systems

Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage

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