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Uncertainty-Aware Remaining Useful Life Prediction via Synergizing TCN-Transformer Networks and Fractional Brownian Motion. [PDF]
Entropy (Basel)Geng Y, Yu T, Liu Y, Zhao J.
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IEEE Journal of Emerging and Selected Topics in Power Electronics, 2022
It is well known that under partial shading conditions, Photovoltaic generator power-voltage characteristic presents over one maximum due to the use of bypass diodes. Classical Hill Climbed methods cannot found the global maximum and often converges to a local maximum. Among numerous optimization methods used to track the global maximum, Particle Swarm
Salim Makhloufi, Saad Mekhilef
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It is well known that under partial shading conditions, Photovoltaic generator power-voltage characteristic presents over one maximum due to the use of bypass diodes. Classical Hill Climbed methods cannot found the global maximum and often converges to a local maximum. Among numerous optimization methods used to track the global maximum, Particle Swarm
Salim Makhloufi, Saad Mekhilef
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2019 IEEE 4th International Future Energy Electronics Conference (IFEEC), 2019
This study realizes a new solar-power generation system that can complete the global maximum power point tracking (GMPPT) control under uniform irradiation and partial shading conditions (UIC and PSC, respectively). The MCU of the proposed system calculates the I GMPP of the photovoltaic (PV) module to accurately execute GMPPT on the basis of the PV ...
Chang-Hua Lin +2 more
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This study realizes a new solar-power generation system that can complete the global maximum power point tracking (GMPPT) control under uniform irradiation and partial shading conditions (UIC and PSC, respectively). The MCU of the proposed system calculates the I GMPP of the photovoltaic (PV) module to accurately execute GMPPT on the basis of the PV ...
Chang-Hua Lin +2 more
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IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012
With the rapid proliferation of the DC distribution systems, special attentions are paid to the photovoltaic (PV) generations. This paper addresses the problem of maximum power point tracking (MPPT) for PV systems using a local neuro fuzzy (LNF) network and steepest descent (SD) optimization algorithm.
Kumars Rouzbehi +3 more
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With the rapid proliferation of the DC distribution systems, special attentions are paid to the photovoltaic (PV) generations. This paper addresses the problem of maximum power point tracking (MPPT) for PV systems using a local neuro fuzzy (LNF) network and steepest descent (SD) optimization algorithm.
Kumars Rouzbehi +3 more
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2021
The effect of changing metrological conditions on the power output performance of a local photovoltaic module as well as the effect of utilizing maximum power point tracking on the power output of the photovoltaic system is investigated in this paper.
Ayodele, T.R +2 more
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The effect of changing metrological conditions on the power output performance of a local photovoltaic module as well as the effect of utilizing maximum power point tracking on the power output of the photovoltaic system is investigated in this paper.
Ayodele, T.R +2 more
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Hybrid Algorithm for PV Maximum Power Point Tracking under Localized Shading Situation
2024 36th Chinese Control and Decision Conference (CCDC)Xiangzi Xia, Chun Zhang
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Maximum photovoltaic power point tracking based on hybrid GWO-P&Q algorithm under local shadow
Journal of Measurement Science and InstrumentationFeng ZHAO +3 more
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