Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A modified differential evolution based maximum power point tracker for photovoltaic system under partial shading condition
Graphical abstract
Highlights A differential evolution based MPPT approach for PV system under partial shading. The consistency of proposed MPPT is always guaranteed. Only one parameter i.e. mutation factor, needs to be tuned. Proposed method yields an average MPPT efficiency of 99.5% for a whole day profile.
Abstract This work proposes a modified differential evolution (MDE) based maximum power point tracker (MPPT) for photovoltaic (PV) system under partial shading condition. The proposed MDE does not involve any random numbers; hence, consistency of MPP tracking always prevails. Besides, it only contains one tuning parameter, i.e., mutation factor, which significantly simplifies the implementation strategy and therefore a low-cost micro-controller can be used for its realization. Despite the simpler MPPT structure, for each tested shaded curve, MDE always converges toward the global MPP within 12 perturbations. Performance wise, it outperforms another evolutionary algorithm, namely particle swarm optimization (PSO), which frequently traps at local MPP in shading conditions. The proposed MDE also works accurately for the measured data profile of a tropical country during 9.00 am to 5.00 pm, where it attains 99.5% average tracking efficiency.
A modified differential evolution based maximum power point tracker for photovoltaic system under partial shading condition
Graphical abstract
Highlights A differential evolution based MPPT approach for PV system under partial shading. The consistency of proposed MPPT is always guaranteed. Only one parameter i.e. mutation factor, needs to be tuned. Proposed method yields an average MPPT efficiency of 99.5% for a whole day profile.
Abstract This work proposes a modified differential evolution (MDE) based maximum power point tracker (MPPT) for photovoltaic (PV) system under partial shading condition. The proposed MDE does not involve any random numbers; hence, consistency of MPP tracking always prevails. Besides, it only contains one tuning parameter, i.e., mutation factor, which significantly simplifies the implementation strategy and therefore a low-cost micro-controller can be used for its realization. Despite the simpler MPPT structure, for each tested shaded curve, MDE always converges toward the global MPP within 12 perturbations. Performance wise, it outperforms another evolutionary algorithm, namely particle swarm optimization (PSO), which frequently traps at local MPP in shading conditions. The proposed MDE also works accurately for the measured data profile of a tropical country during 9.00 am to 5.00 pm, where it attains 99.5% average tracking efficiency.
A modified differential evolution based maximum power point tracker for photovoltaic system under partial shading condition
Ramli, Makbul A.M. (Autor:in) / Ishaque, Kashif (Autor:in) / Jawaid, Faizan (Autor:in) / Al-Turki, Yusuf A. (Autor:in) / Salam, Zainal (Autor:in)
Energy and Buildings ; 103 ; 175-184
22.06.2015
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| American Institute of Physics | 2015
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| American Institute of Physics | 2018
| British Library Online Contents | 2017
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