摘要
在光伏发电系统的MPPT控制中,标准粒子群算法存在跟踪精度不高,易收敛于局部极值点的问题。为了提升MPPT的准确度,引入了改进的莱维飞行粒子群算法(LFPSO),优化了算法流程及收敛条件,提升了算法的准确度,并减少了莱维飞行过程所需的额外控制时间。通过仿真表明:新算法能够显著提高跟踪的精确度,可以很好地收敛到全局最优点。
In the MPPT control of PV system, the standard PSO control method has the problem of low tracking accuracy and easy convergence to local extremum points.In order to improve the accuracy,the improved Levy Flight Particle Swarm Optimization (LFPSO) is introduced to optimize the algorithm flow and convergence conditions, which improves the accuracy of the algorithm and reduces the extra control time required for Levy Flight.The simu- lation shows that the new algorithm can significantly improve the accuracy of tracking,which can well converge to the global optimum.
作者
王荣
李少纲
WANG Rong;LI Shaogang(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)
出处
《南昌大学学报(工科版)》
CAS
2018年第3期292-298,共7页
Journal of Nanchang University(Engineering & Technology)