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An improved particle swarm optimization MPPT algorithm based on voltage window restrictions

机译:基于电压窗口限制的改进粒子群优化MPPT算法

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There are several maximum power points tracking algorithm using for the multi-peak MPPT algorithm optimization of photovoltaic cell array, such as the emergence of a global particle swarm algorithm. But particle swarm MPPT algorithm has less stable, larger voltage and power fluctuations, lower energy efficiency. To solve this problem, this paper propose a novel particle swarm optimization algorithm based on voltage window limits, by limiting the voltage range of particle swarm algorithm, a substantial increase the convergence speed, decrease the power fluctuations and reduce energy consumption. Simulation and experimental results show that the optimized algorithm has better performance in the global maximum power point tracking. This paper also create the conditions for the application of global maximum power point tracking algorithm.
机译:有几种最大功率点跟踪算法,用于光伏电池阵列的多峰MPPT算法优化,例如全局粒子群算法的出现。 但粒子群MPPT算法具有较差稳定,较大的电压和功率波动,较低的能量效率。 为了解决这个问题,本文提出了一种基于电压窗口限制的新型粒子群优化算法,通过限制粒子群算法的电压范围,提高收敛速度,降低功率波动并降低能量消耗。 仿真和实验结果表明,优化的算法在全局最大功率点跟踪中具有更好的性能。 本文还创造了应用全局最大功率点跟踪算法的条件。

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