Photovoltaic Maximum Power Point Tracking With Improved Differential Evolution
To address the problem of slow tracking speed of existing differential evolutionary algorithm in the case of local shading,a new maximum power point tracking(MPPT)con-trol strategy for photovoltaic(PV)power generation system with improved differential evolutionary algorithm was pro-posed.Firstly,the triangular mutation strategy was introduced and embedded in the crossover formula of the traditional differ-ential evolutionary algorithm to avoid duplicate sampled power due to the same duty cycle of the output before and after the it-eration.Secondly,an adaptive scaling factor strategy was intro-duced to enhance individual convergence.Finally,the global exploitation and local exploration capabilities of the proposed algorithm were balanced by a reward-penalty mechanism.The simulation results show that the improved algorithm has signi-ficant advantages in tracking speed and stability compared with the differential evolution algorithm of the comparative literat-ure.
differential evolutionmaximum power point tracking(MPPT)partial shadowconvergence speed
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