›› 2014, Vol. 27 ›› Issue (6): 187-.

• 论文 • 上一篇    下一篇

基于粒子群优化的光伏MPPT算法

孙会明,陈薇   

  1. (西安科技大学 电气与控制工程学院,陕西 西安 710054)
  • 出版日期:2014-06-15 发布日期:2014-06-14
  • 作者简介:孙会明(1988—),男,硕士研究生。研究方向:智能算法,信号处理。E-mail:43572560@qq.com。陈薇(1987—),女,硕士研究生。研究方向:仪器仪表工程。

Photovoltaic MPPT Algorithm Based on PSO

SUN Huiming,CHEN Wei   

  1. (School of Electrical & Control Engineering,Xi'an University of Science and Technology,Xi'an 710054,China)
  • Online:2014-06-15 Published:2014-06-14

摘要:

针对光伏发电系统最大功率点跟踪恒定电压法跟踪精度较低的缺点,提出了基于温度系数在线修正的改进恒定电压法与粒子群优化结合的光伏MPPT算法,即在系统偏离最大功率点时,采用改进恒定电压法快速确定一个新的工作点,再采用粒子群优化进行最大功率控制,使得MPPT确保跟踪速度的同时又提高了跟踪精度。最后通过Matlab/Simulink对该算法进行了仿真,结果表明该控制系统可快速跟踪最大功率点。

关键词: 光伏电池, 最大功率点跟踪, 粒子群优化, 恒定电压法

Abstract:

In view of the poor accuracy of photovoltaic system maximum power point tracking (MPPT),a new photovoltaic MPPT is proposed,which combines the improved constant-voltage method based on temperature correction coefficient online with particle swarm optimization algorithm.When the system deviates from the maximum power point,a new operating point can be searched through the improved constant voltage method quickly.With the help of PSO maximum power control,accuracy is improved at the same speed.Simulation of the method in Matlab/simulink shows that the system can search the maximum power point quickly.

Key words: photovoltaic cell;maximum power point tracking;particle swarm optimation;constant voltage method

中图分类号: 

  • TM914