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• W2966355819 abstract "The photovoltaic system is the most popular renewable energy to be used due to its environmentally friendly and long term of the economic outlook. However, since its performance depends on the solar radiation and temperature, its maximum output is ever changing. The maximum power point tracking method is commonly used to handle this problem over the years. However, the method tends to get stuck in local minima hence given not optimal result. This paper combines the use of swarm-based intelligence method called particle swarm optimization method and maximum power point tracking to enhance the capability and efficiency of PV system under a variation of temperature and irradiance. The MATLAB program is used to simulate the proposed solution. The simulation results indicate the proposed method produce good result in terms of performance and efficiency in every variation environment factor it is tested." @default.
• W2966355819 created "2019-08-13" @default.
• W2966355819 creator A5054953336 @default.
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• W2966355819 date "2019-01-01" @default.
• W2966355819 modified "2023-09-27" @default.
• W2966355819 title "Maximum power point tracking for single diode PV model using particle swarm optimization" @default.
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• W2966355819 doi "https://doi.org/10.1063/1.5118121" @default.
• W2966355819 hasPublicationYear "2019" @default.
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