Adaptive FOCV-based Control Scheme to improve the MPP Tracking Performance: an experimental validation

Frezzetti, Antonio; Manfredi, Sabato; Suardi, Andrea

doi:10.3182/20140824-6-za-1003.02464

Cited by 19 publications

(7 citation statements)

References 15 publications

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“…Since the connection is just an estimation, the PV array, in fact, never works at the MPP. Frezzetti et al [37] coined an improved FOCV technique named ‘smart timer’, which can able track MPP in PSC's also. This smart timer estimates the frequency of the sample and holds the circuit.…”

Section: Classical Mppt Techniquesmentioning

confidence: 99%

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

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

267

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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: Classical Mppt Techniquesmentioning

confidence: 99%

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

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

267

View full text Add to dashboard Cite

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“…The FOCV method was implemented in experiments by Frezzetti et al [49] for a PV system. In this research, the authors used an adaptive scheme based on the irradiation to achieve acceptable results.…”

Section: Offline Techniquesmentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

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“…In this article, a comprehensive comparative analysis has been carried out on the recently developed MPPT techniques such as VSS-P&O [54], modified incremental conductance (MIC) [55], FOCV [56], fixed step size radial basis functional algorithm (FSS-RBFA) [57], variable step size radial basis functional algorithm (VSS-RBFA) [58], AFLC [52], PSO [59], and cuckoo search (CS) [60]. The schematic of a PV-fed MPPT controlled boost converter power generation system is illustrated in Figure 2.…”

Section: Of 27mentioning

confidence: 99%

“…The open-circuit voltage of the PV is measured by connecting an additional switch across the PV output terminals. Evaluation of maximum peak voltage is taken from [56].…”

Section: Fractional Open Circuit Voltage (Focv) Mppt Techniquementioning

confidence: 99%

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

2020

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Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.

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Adaptive FOCV-based Control Scheme to improve the MPP Tracking Performance: an experimental validation

Cited by 19 publications

References 15 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 Techniques for Photovoltaic Panel: A Review and Experimental Applications

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

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