High efficiency DC-DC autotransformer forward-flyback converter for DMPPT architectures in solar plants

Moral, D. López del; Barrado, A.; Sanz, M.; Lázaro, A.; Fernández, Cristina; Zumel, P.

doi:10.1109/cpe.2015.7231114

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…As a result, DC-DC converters are intrinsically nonlinear, making accurate modeling by machine learning techniques difficult. Furthermore, because of the semiconductor architectures utilized, the quick reaction time of DC-DC converters offers extra challenges for machine learning algorithms with large gaps between sample periods [35]. To address this challenge, the machine learning algorithm employs a MIMO (Multiple Input Multiple Output) architecture, which allows for a more detailed analysis of the system by estimating both current and voltage as output.…”

Section: Dc-dc Converter Partmentioning

confidence: 99%

Exploiting Digitalization of Solar PV Plants Using Machine Learning: Digital Twin Concept for Operation

et al. 2023

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The rapid development of digital technologies and solutions is disrupting the energy sector. In this regard, digitalization is a facilitator and enabler for integrating renewable energies, management and operation. Among these, advanced monitoring techniques and artificial intelligence may be applied in solar PV plants to improve their operation and efficiency and detect potential malfunctions at an early stage. This paper proposes a Digital Twin DT concept, mainly focused on O&M, to obtain more information about the system by using several artificial intelligence boxes. Furthermore, it includes the development of several machine learning (ML) algorithms capable of reproducing the expected behavior of the solar PV plant and detecting the malfunctioning of different components. In this regard, this allows for reducing downtime and optimizing asset management. In this paper, different ML techniques are used and compared to optimize the selected methods for enhanced response. The paper presents all stages of the developed Digital Twin, including ML model development with an accuracy of 98.3% of the whole DT, and finally, a communication and visualization platform. The different responses and comparisons have been made using a model based on MATLAB/Simulink using different cases and system conditions.

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Section: Dc-dc Converter Partmentioning

confidence: 99%

Exploiting Digitalization of Solar PV Plants Using Machine Learning: Digital Twin Concept for Operation

et al. 2023

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“…An in-depth analysis of the Autotransformer Forward-Flyback (AFF) converter, which has already been introduced in [33], is carried out in the present paper. The AFF topology is an evolution of the Buck-Boost Modified Series Forward (BBMSF) converter [32].…”

Section: Theoretical Analysis Of the Aff Convertermentioning

confidence: 99%

Analysis and implementation of the Autotransformer Forward-Flyback converter applied to photovoltaic systems

et al. 2019

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“…An efficient and cost-effective configuration is needed [12][13][14][15] where several configurations are possible for DC-DC conversion like DC-to-DC forward, DC to DC boost, DC to DC fly-back and DC to DC push-pull converter [16][17][18][19]. The proposed system suggests a forward converter in order to raise the DC voltage from 48 V-DC to 312 V-DC, as the other alternate configurations like push-pull, flyback or boost converter has limitation considering the current harmonics of high frequency.…”

Section: Introductionmentioning

confidence: 99%

Design and Life Cycle Cost Analysis of a Forward Converter Feded Solar Powered 3-phase Water Motor

Hossain

Chowdhury²,

Chakma³

et al. 2022

Trends Sci

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Supply of water for irrigation and household use is not adequate in rural Bangladesh during dry season. To ensure continuous water supply for irrigation and other household activities in rural Bangladesh, where the supply of uninterrupted electricity is hardly available all the time and mostly irrigation is done by Diesel-based water pump. The paper proposes a standalone model to run a 3-phase motor in such condition. Due to the continuous reduction of price of electrical and electronic components related to solar panel, solar based pumping system has become the most economically viable option to mitigate this problem related to larger rural community. Output from the solar cell is converted to stable high DC voltage by incorporating a single stage forward converter. Switching circuit for 3-phase inverters is simulated in Power Sim (PSIM) which maintains the smooth operation of the water motor. The T-LCL filter is introduced to reduce the voltage ripple to a tolerance level before being fed to the motor. Forward converter based proposed system has a better total harmonic distortion (THD) of 0.087 with different output voltage as required. The conventional Diesel-based system not only pollutes the environment but also the total of capital investment and maintenance cost is more than 3 times higher than the proposed Forward converter and 3-phase sinusoidal pulse-width modulation (SPWM) inverter-based system. This model can be a good solution considering the unavailability, high price and environmental issues of fuel-based power supply. HIGHLIGHTS Due to the lack of uninterrupted electricity facility in the rural area of Bangladesh, a Diesel-based water pump is used which is quite expensive and not environment friendly To mitigate the aforementioned problem, nowadays solar-based pumping system attracts significant attention The Proposed Forward converter and 3-phase sinusoidal pulse-width modulation (SPWM) inverter-based system can be an optimum solution regarding price, environment, and continuous supply issues GRAPHICAL ABSTRACT

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High efficiency DC-DC autotransformer forward-flyback converter for DMPPT architectures in solar plants

Cited by 7 publications

References 22 publications

Exploiting Digitalization of Solar PV Plants Using Machine Learning: Digital Twin Concept for Operation

Exploiting Digitalization of Solar PV Plants Using Machine Learning: Digital Twin Concept for Operation

Analysis and implementation of the Autotransformer Forward-Flyback converter applied to photovoltaic systems

Design and Life Cycle Cost Analysis of a Forward Converter Feded Solar Powered 3-phase Water Motor

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