光伏系统中全局最大功率点的优化

Global MPPT optimal control method of PV system

针对当光伏列阵接收到不均匀光照时,整个光伏系统的P-V曲线变为多峰值曲线,采用传统的最大功率点跟踪方法不能很好地追踪最大功率点的问题,提出一种基于改进的模拟退火-粒子群算法的最大功率点跟踪方法。研究结果表明:该优化算法中加入存储单元,保证了算法不会陷入局部最大值点,同时引入粒子群适值函数,调整退火温度,保证了运行速度;通过该方法可以快速的准确地找到光伏系统的全局最大功率点;仿真结果证明了该算法的正确性。

Considering that when the photovoltaic （PV） array receives the partially shaded condition （PSC）, P-V curve of the entire PV system becomes multi-peak curve, and that using the traditional maximum power point tracking methods cannot achieve the maximum power point tracking well, a global maximum power point tracking （MPPT） control method based on particle swam optimization-simulated annealing （PSO-SA） was put forward. The results show that the optimization algorithm does not fall into the local maximum points when the storage unit is added, that the operation speed can be ensured when the particle swarm fitness function is introduced, and that the annealing temperature is adjusted. By this method, the global maximum power point of PV systems can be located quickly and accurately. The simulation results verify the correctness of the algorithm.