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- W4200501650 abstract "Abstract- In this work, Matlab/Simulink is used to compare Perturb and Observe (P&O) and Particle Swarm Optimization (PSO) algorithms in terms of their convergence and efficiency. PSO and P&O are methods of maximum power point tracking (MPPT) used to optimize the energy extraction in photovoltaic (PV) power system. Convergence speed, efficiency and energy losses of both methods are considered in the paper. Simulink model of both methods is implemented at temperature of 25o and radiation of 1000 watt/m2. We concluded that the P&O is the faster to obtain the MPP, Nonetheless; it generates significant energy losses due to its constant oscillation around the MPP. On the other hand, it is observed that the PSO algorithm is slower to obtain the MPP, yet it presents less energy losses in comparison with the P&O algorithm. Finally, only the PSO algorithm can guarantee the convergence to the maximum power point." @default.
- W4200501650 created "2021-12-31" @default.
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- W4200501650 date "2021-10-11" @default.
- W4200501650 modified "2023-09-23" @default.
- W4200501650 title "Comparison of P&O and PSO Algorithms using Matlab/Simulink" @default.
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- W4200501650 doi "https://doi.org/10.1145/3492547.3492632" @default.
- W4200501650 hasPublicationYear "2021" @default.
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