A new PSO-PID variable step size MPPT controller for PV systems under fast changing atmospheric conditions
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Abstract
In this paper, a new modified variable step P&O maximum power point tracking algorithm using Proportional-Integral-Derivative controller tuned by particle swarm optimization is proposed. The classical fixed step P&O algorithm has good performances due to its simplicity and easy implementation; however, failing and inefficiency especially in case of rapidly changing atmospheric conditions, as well as oscillation around the maximum power point decreasing by the way the convergence speed are the main drawbacks. To solve these drawbacks, a new variable step P&O algorithm using Particle Swarm Optimization based Proportional-Integral- Derivative controller is presented. A theoretical analysis of the proposed algorithm has been provided using a boost converter connected to a Solarex MSX-60 model. Analysis and comparison between the classical fixed step P&O and that developed Particle Swarm Optimization variable step are presented. The efficiency and improvements of the proposed algorithm in transient, steady-state and dynamic responses, related to ripple, overshoot and response time, especially under rapidly changing atmospheric conditions have been demonstrated.
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