基于改进细菌觅食算法的光伏阵列MPPT研究

Research on photovoltaic array MPPT based on improved bacterial foraging optimization algorithm

光伏发电系统具有非线性和时变不确定的特性,因此需要对其进行最大功率点跟踪(maximum power pointtracking,MPPT)。现有的MPPT算法在收敛精度或收敛速度上存在一定的缺陷。采用智能探寻游动细菌觅食算法进行光伏电池阵列最大功率点跟踪研究。该算法使细菌提前探测下一位置的适应度大小,若是优于当前时刻,则继续游动,反之,则停止游动。这样可以避免游动到差环境下,大大加快了算法的运行速度,改善了运行过程的平稳性。仿真结果表明,智能探寻游动细菌觅食算法与现有细菌觅食算法相比,具有收敛速度快和平稳性好的优点。

The photovoltaic power generation system has the characteristics of nonlinearity and time-varying uncertainty,so it is necessary to track the maximum power point(MPPT).The existing MPPT algorithm has certain defects in convergence accuracy or convergence speed.The intelligent search for swimming bacteria foraging algorithm is used to track the maximum power point of photovoltaic array.This algorithm enables bacteria to detect the fitness of the next position in advance,if it is better than the current time,it will continue to swim,otherwise,it will stop.This can avoid swimming in a bad environment,greatly speed up the running speed of the algorithm,and improve the stability of the running process.The simulation results show that the intelligent search for swimming bacteria foraging algorithm has the advantages of fast convergence speed and goodstationarity in compared with the existing bacteria foraging algorithm.