粒子群算法在光伏系统最大功率点跟踪中的应用

M. Balamurugan, S. Narendiran, S. Sahoo, Raja Das, A. K. Sahoo
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引用次数: 13

摘要

粒子群优化(PSO)技术已应用于多结太阳能电池系统。太阳能电池板由不同的材料组成,并从Boost转换器提供恒定的输出。PSO的主要目的是找出升压转换器的占空比,以保持恒定的输出电压,而不管太阳能电池板产生的功率。在Matlab/Simulink中对该方法进行了详细的仿真。仿真结果表明,该设计在实际应用中可以有效实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of particle swarm optimization for maximum power point tracking in PV system
Particle Swarm Optimization (PSO) technique has been applied for multi-junction solar cell system. The solar panels are made up of different materials and give constant output from Boost converter. The main aim of PSO is to find out duty cycle to the Boost converter to maintain constant output voltage irrespective of power produced by solar panels. A detailed simulation of the proposed method has been simulated in Matlab/Simulink. The simulation result shows that this design can be effectively realized in practical applications.
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