摘要
针对光伏阵列的非线性问题,提出了一种快速、稳定且能够全局寻优的最大功率点跟踪算法。该算法首先将粒子群优化算法改进,使其能够在一定的迭代次数下稳定、全局地更新所有粒子的速度和位置,接近最大功率点;第二步采用以Fibonacci数列作为步长改变依据的变步长扰动观察法并将其优化,使其快速得到功率的最佳解。利用LabVIEW软件搭建了模型并仿真,验证了算法在精度与速度上的大幅度提升,确定了算法的先进性和可行性。
The output power of photovoltaic array is strongly influenced by ambient temperature and illumination,also often patially shaded by clouds,leading to unstable curve of power.In order to solve this problem,this paper puts forward a Maximum Power Point Tracking algorithm with the ability of rapid and global optimization.The algorithm uses improved particle swarm optimization algorithm to update the velocity and position of all particles under a certain number of iterations,making output power close to the location of maximum power point,and then uses the method of variable step perturbation and observation whose step length is decided by sequence of Fibonacci number,to obtain the optimal solution of power.Model was established and simulation was conducted on Labview.It was shown that the algorithm＇s precision and speed are greatly improved.It is verified that the algorithm is of advance and feasibility.
作者
张军朝
赵阳
陈俊杰
王青文
陶亚男
ZHANG Junchao1,3, ZHAO Yang1,3, CHEN Junjieb2,3, WANG Qingwen1,3, TAO Yanan1,3(a. College of Electrical and Power Engineering, b. College of Computer Science ＆ Technology, c. Electric Transmission and Internet of Things Engineering Technology Research Center in Shanxi Province, Taiyuan University of Technology, Taiyuan 030024, Chin)
出处
《太原理工大学学报》
CAS
北大核心
2018年第3期477-482,共6页
Journal of Taiyuan University of Technology
基金
国家自然科学基金资助项目(61672374)
关键词
局部阴影
光伏阵列
最大功率点跟踪
仿真
partial shadow
photovoltaic array
maximum power point tracking
simulation
