A photovoltaic MPPT method based on sequoia optimization algorithm improved by multi-strategy

Abstract

The application discloses a photovoltaic MPPT method based on a red cedar optimization algorithm improved in multiple strategies and belongs to the field of intelligent optimization algorithms.The method comprises the following steps: multiple improved red cedar optimization algorithms are adopted; the improved mode is that an initial population of the red cedar optimization algorithm is generated through Logistic chaotic mapping, nonlinear probability decay parameters are adopted, and finally a spiral wandering strategy is introduced; based on the improved red cedar optimization algorithm, the optimal duty ratio when the maximum power of a photovoltaic array is output is calculated; based on the optimal duty ratio, the effect of the improved red cedar optimization algorithm in a photovoltaic system is verified, and the optimization of a photovoltaic maximum power point tracking system is completed; and the method can avoid the lack of randomness of the initial population of the algorithm through chaotic mapping, balance the exploration of the algorithm in the early stage and the searching ability of the algorithm close to the optimal solution in the later stage through nonlinear probability decay parameters, and avoid excessive search through the spiral wandering strategy.

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