A novel photovoltaic system control strategies for improving hill climbing algorithm efficiencies in consideration of radian and load effect

•The proposed algorithm is still effectively in low irradiance level below 150 W/m2.•We propose a fast accurate technique in consideration of the load and radian.•A control strategy is employed to improve efficiency and reduce execution time. This study proposes a novel algorithm for maximum power p...

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Veröffentlicht in:Energy conversion and management 2018-06, Vol.165, p.815-826
Hauptverfasser: Liu, Hwa-Dong, Lin, Chang-Hua, Pai, Kai-Jun, Lin, Yu-Liang
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container_title Energy conversion and management
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creator Liu, Hwa-Dong
Lin, Chang-Hua
Pai, Kai-Jun
Lin, Yu-Liang
description •The proposed algorithm is still effectively in low irradiance level below 150 W/m2.•We propose a fast accurate technique in consideration of the load and radian.•A control strategy is employed to improve efficiency and reduce execution time. This study proposes a novel algorithm for maximum power point tracking (MPPT) in solar-power-generating systems, and compares it with the conventional methods of hill climbing (HC). These conventional algorithms are prone to divergence under low irradiance levels (
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This study proposes a novel algorithm for maximum power point tracking (MPPT) in solar-power-generating systems, and compares it with the conventional methods of hill climbing (HC). These conventional algorithms are prone to divergence under low irradiance levels (&lt;150 W/m2), resulting in maximum power point tracking difficulties and a limited effective maximum power point tracking range; the hill climbing algorithm in particular often entraps the actuating point near an inescapable local minimum and causes divergence. The proposed algorithm uses the angle between the sun and the horizon to develop a novel maximum power point tracking technique that extends the maximum power point tracking range to 100 W/m2, effectively mitigating the divergence problems of the hill climbing algorithms when the irradiance level is low (&lt;150 W/m2). 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This study proposes a novel algorithm for maximum power point tracking (MPPT) in solar-power-generating systems, and compares it with the conventional methods of hill climbing (HC). These conventional algorithms are prone to divergence under low irradiance levels (&lt;150 W/m2), resulting in maximum power point tracking difficulties and a limited effective maximum power point tracking range; the hill climbing algorithm in particular often entraps the actuating point near an inescapable local minimum and causes divergence. The proposed algorithm uses the angle between the sun and the horizon to develop a novel maximum power point tracking technique that extends the maximum power point tracking range to 100 W/m2, effectively mitigating the divergence problems of the hill climbing algorithms when the irradiance level is low (&lt;150 W/m2). 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This study proposes a novel algorithm for maximum power point tracking (MPPT) in solar-power-generating systems, and compares it with the conventional methods of hill climbing (HC). These conventional algorithms are prone to divergence under low irradiance levels (&lt;150 W/m2), resulting in maximum power point tracking difficulties and a limited effective maximum power point tracking range; the hill climbing algorithm in particular often entraps the actuating point near an inescapable local minimum and causes divergence. The proposed algorithm uses the angle between the sun and the horizon to develop a novel maximum power point tracking technique that extends the maximum power point tracking range to 100 W/m2, effectively mitigating the divergence problems of the hill climbing algorithms when the irradiance level is low (&lt;150 W/m2). 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source Elsevier ScienceDirect Journals Complete
subjects Algorithms
Boost converter
Climbing
Divergence
Electricity generation
Energy efficiency
Irradiance
Maximum power
Maximum power point tracking
Photovoltaic cells
Photovoltaic module
Photovoltaics
Power supply
Solar power
Tracking
title A novel photovoltaic system control strategies for improving hill climbing algorithm efficiencies in consideration of radian and load effect
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