MPPT Control of Photovoltaic Generation Based on Improved PSO Algorithm under Partial Shading Condition
In order to solve the problem of maximum power point tracking(MPPT)of a photovoltaic ar-ray under partial shading condition(PSC),the output characteristics of the photovoltaic array were ana-lyzed,and an improved particle swarm optimization(PSO)algorithm was proposed to control the output regulating circuit of the photovoltaic array.The algorithm could adjust the inertia weight adaptively,clamp the velocity of particles,and update the iteration period dynamically.The MATLAB simulation results show that compared with the conventional perturbation observation method and basic PSO,the improved PSO algorithm can obtain higher MPPT accuracy,reduce tracking time by nearly 50%under static and dynamic PSCs,and improve the power generation efficiency of the photovoltaic array.
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