基于电压窗口限制的粒子群MPPT算法的研究

IMPROVED PARTICLE SWARM OPTIMIZATION MPPT ALGORITHM BASED ON VOLTAGE WINDOW RESTRICTION

为解决光伏电池阵列MPPT算法的多峰值寻优问题,出现了如粒子群MPPT算法的全局最大功率点跟踪算法,但是该算法的缺陷是稳定性较差,电压和功率的波动较大,能量利用率不高。针对前述缺陷,该文提出一种新的基于电压窗口限制的粒子群MPPT优化算法,即通过限制粒子群MPPT算法的电压搜索范围,大幅提高粒子群MPPT算法的收敛速度,降低功率波动,减少能量损耗。仿真和实验结果表明,该优化算法具有较好的多峰值特性曲线全局最大功率点跟踪能力且具极好的可行性。

In order to solve the optimization problem of multi-peak MPPT algorithm for PV array, the global particle swarm algorithm was used for maximum power points tracking algorithm. But the particle swarm MPPT algorithm was less stable, larger fluctuations of voltage and power, lower energy efficiency. To solve this problem, a novel particle swarm optimization algorithm was proposed based on voltage window restriction, such as limiting the voltage search range of particle swarm MPPT algorithm, authentically increasing the convergence speed, decreasing the power fluctuations and reducing energy consumption. The simulation and experimental results show that the optimized algorithm has better global maximum power point tracking ability of multi-peak feature curve, and has a very good feasibility.