期刊文献+

局部阴影下MPPT蚁群控制技术研究 被引量:7

Research on MPPT Ant Colony Control Technology Under Local Shadow
下载PDF
导出
摘要 针对光伏组件局部遮挡时电压-功率特性曲线会出现多个极大峰值,以最大功率点跟踪(MPPT)为研究对象,提出基于改进蚁群算法的MPPT算法,通过对每条支路上的信息素进行约束来避免算法的过早停滞,并对其进行建模和仿真,得出相对于普通蚁群算法在收敛速度和精确性上有很明显的提高。通过实际工程应用发现,改进蚁群算法可以快速稳定找到最大功率工作点。 According to the partial occlusion when photovoltaic module voltage-power characteristic curve will appear multiple peaks,with the maximum power point tracking(MPPT)as research object,the MPPT algorithm based on improved ant colony algorithm is put forward ,the algorithm to avoid premature stagnation of each branch of the pheromone binding,and the modeling and simulation of its that,compared with conventional ant colony algorithm is better in convergence speed and accuracy.Through practical engineering application,it is found that the improved ant colony algorithm can quickly and stably find the maximum power work point.
作者 刘建辉 周航 LIU Jian-hui;ZHOU Hang(Xi'an University of Architecture and Technology,Xi'an 710055,China)
出处 《电力电子技术》 CSCD 北大核心 2018年第12期45-48,共4页 Power Electronics
基金 陕西省教育厅科研基金(11JK0875).
关键词 光伏组件 局部遮挡 最大功率点跟踪 改进蚁群算法 photovoltaic module partial occlusion maximum power point tracking improved ant colony algorithm
  • 相关文献

参考文献5

二级参考文献54

  • 1杨永恒,周克亮.光伏电池建模及MPPT控制策略[J].电工技术学报,2011,26(S1):229-234. 被引量:144
  • 2杨海柱,金新民.并网光伏系统最大功率点跟踪控制的一种改进措施及其仿真和实验研究[J].电工电能新技术,2006,25(1):63-67. 被引量:17
  • 3肖晓丽,胡宁静,李春芳,田悦宏,黄继红.基于遗传策略的过多指定点路由算法的研究[J].计算机工程与应用,2007,43(19):160-163. 被引量:1
  • 4Chihchiang Hua, Chihming Shen. Control of DC/DC Converier for Solar Energy ,System with Maximum Power Tracking[A]. 23rd International Coference on Industrial Electronics Control and Instrumentation [C]. 1997, 2: 827 -832.
  • 5Blickle T,Thiele L. A Comparison of Selection Schemes used in the Genetic Algorithms[R]. TIK - Report, Swiss Federal Institute of Technology(ETH), 1995.
  • 6Syswerda G. Uniform Crossover in Genetic Algorithms[A]. Proceedings of the Third International Conference on Genetic Algorithms [C]. San Mateo, CA: Morgan Kaufman, 1989 : 2 - 9.
  • 7Deb K, Agrawal S. Understanding Interactions among Genetic Algorithm Parameters[A]. Foundations of Genetic Algorithms[C]. Francisco : Morgan Kauffman, 1998 :265 - 286.
  • 8Weidong Xiao, Dunford W. G. A Modified Adaptive Hill Climbing MPPT Method for Photovohaic Power Systems [A]. Power Electronics Specialists Conference[C]. 2004:1957- 1 963.
  • 9M G Villalva, J R Gazoli, E R Filho. Comprehensive approach to modeling and simulation of photovohaic arrays[ J]. IEEE Transac- tion on Power Electronics, 2009,24 (5) :1198-1208.
  • 10BRITO DE M A G, GALOTTO L, SAMPAIO L P, et al. Evaluation of the main MPPT techniques for photovoltaie applications [J]. IEEE Transactions on Industrial Electronics, 2013, 60(3): 1156-1167.

共引文献83

同被引文献158

引证文献7

二级引证文献46

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部