The Distributed Maximum Power Point Tracking Method and Application in the PV Grid-Connected Generation

Zhao, Tingting; Ju, Zhenhe; Wang, Hongjiang; Wei, Xiaopeng; Li, Xiaoxiao; Shi, Zhang

doi:10.1109/isdea.2010.407

Cited by 7 publications

(11 citation statements)

References 5 publications

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“…Moreover, even when CMPPT is able to track the absolute maximum power of the mismatched PV field, such a power is lower than the sum of the available maximum powers of the mismatched modules. Distributed Maximum Power Point Tracking (DMPPT) allows to overcome the drawbacks associated to mismatching phenomena [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. DMPPT is based on the use of module dedicated DC/DC converters realizing the MPPT for each module (Figure 2) and central inverters [11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…Distributed Maximum Power Point Tracking (DMPPT) allows to overcome the drawbacks associated to mismatching phenomena [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. DMPPT is based on the use of module dedicated DC/DC converters realizing the MPPT for each module (Figure 2) and central inverters [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. A not exhaustive list of commercial devices developed with reference to the architecture shown in Figure 2 includes the following: SolarMagic Power Optimizers by National Semiconductors (four switches buck-boost topology) [25], SolarEdge Power Box (buckboost topology) [26], Tigo Energy Module Maximizers (MM-ES50, MM-ES75, MM-ES110, MM-ES170, buck topology) [27], Xandex SunMizers (buck topology, recently the production has been discontinued) [28], SPV1020 produced by STMicroelectronics (boost topology) [29].…”

Section: Introductionmentioning

confidence: 99%

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On the necessity of joint adoption of both Distributed Maximum Power Point Tracking and Central Maximum Power Point Tracking in PV systems

Vitelli¹

2012

Progress in Photovoltaics

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In this paper, the main causes that are able to limit the efficiency of Distributed Maximum Power Point Tracking (DMPPT) are analyzed in detail. It will be shown that, to get full profit from DMPPT, it is necessary that the bulk inverter voltage belongs to an optimal range whose position and amplitude are functions of the following factors: the number of PV modules and dedicated DC/DC converters in a string, the atmospheric operating conditions characterizing each PV module (irradiance and temperature values), the voltage and current ratings of the physical devices the DC/DC converters are made of, and the adopted DC/DC converter topology. Moreover, it will be given proof of the necessity to couple the DMPPT function with a suitable centralized MPPT function carried out by the inverter through the proper control of its own DC input voltage. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the necessity of joint adoption of both Distributed Maximum Power Point Tracking and Central Maximum Power Point Tracking in PV systems

Vitelli¹

2012

Progress in Photovoltaics

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“… Note : 1* GMPP approach 9,10,12–17 ; 2* Array reconfiguration approach 20–22,24–30,32,33 ; 3* DMPPT approach 24–30,33 ; 4* Module‐level approach 31 ; 5* Proposed approach.…”

Section: Comparative Analysis Of Proposed Approachmentioning

confidence: 99%

Maximum power point tracking controller implementation in multiple input converter for effective solar energy harvesting using maximum power point resistance method

Rao

Patel

Sahu

et al. 2022

Circuit Theory & Apps

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Solar energy is widely acknowledged as one of the most promising renewable energy sources for addressing future electrical energy demands. Photovoltaic modules (PVms) convert solar energy into electrical energy and are highly sensitive to nonlinear changes in environmental circumstances, which in turn affect the generation of electricity from the PVms. The module-level maximum power point tracking (MPPT) of PVms using multiple input converters (MICs) is the effective and cost-efficient method among all the methodologies and techniques. MICs, on the other hand, suffer from a cross power-sharing difficulty due to their modular design, which implies that the individual cells that make up the device impact on each other's power-sharing operation. The solu-

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“…This is due to the fact that the proposed approach has only one dedicated switch for maximum power extraction for multiple panels unlike a single inverter module for a panel as in case of micro-inverter. Although a dedicated dc-dc converter per module approach [21][22][23][24][25] extracts maximum power from individual modules, it also has similar limitations as that of micro-inverter.…”

Section: Comparative Analysismentioning

confidence: 99%

“…In this configuration, each PV module has a dedicated inverter with its own MPPT, which is independent of other modules thus making it operate at its own MPPT. The second approach is the use of module-dedicated dc-dc converter realising MPPT for each module and fed to centralised inverter [21][22][23][24][25]. The major limitations of these approaches are high-component count and cost as each module should be incorporated with MPPT and inverter or converter, also cannot be used effectively for modules with a higher rating as the cost of design increases.…”

Section: Introductionmentioning

confidence: 99%

MIC for reliable and efficient harvesting of solar energy

Chander

Kumar

2019

IET Power Electronics

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In this study, a multi-input converter (MIC)-based module-level approach for harvesting maximum power in a photovoltaic system during partial shading is proposed. The MIC topology has a dedicated switch in series with each module to operate it at its maximum power point (MPP). Each module is independent of the other and achieves their respective MPP's under respective operating conditions. The MIC topology can also withstand open-circuit and module mismatch conditions. The proposed system offers simplicity in design, flexibility in control and reliability in operation with low-component count (number of switches and passive elements) consequently reduces the size, cost and complexity of the system. The complete system is comprehensively analysed for a standalone system under randomly selected conditions and is validated both by simulation studies in the MATLAB environment and exhaustive experimental studies on a laboratory prototype.

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The Distributed Maximum Power Point Tracking Method and Application in the PV Grid-Connected Generation

Cited by 7 publications

References 5 publications

On the necessity of joint adoption of both Distributed Maximum Power Point Tracking and Central Maximum Power Point Tracking in PV systems

On the necessity of joint adoption of both Distributed Maximum Power Point Tracking and Central Maximum Power Point Tracking in PV systems

Maximum power point tracking controller implementation in multiple input converter for effective solar energy harvesting using maximum power point resistance method

MIC for reliable and efficient harvesting of solar energy

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