粒子群-细菌觅食在光伏系统MPPT控制中的应用

›› 2015, Vol. 28 ›› Issue (5): 114-.

粒子群-细菌觅食在光伏系统MPPT控制中的应用

刘瑞,简献忠,钱双杰

(上海理工大学光电信息与计算机工程学院,上海 200093)

出版日期:2015-05-15 发布日期:2015-05-19
作者简介:刘瑞(1988—),男,硕士研究生。研究方向:光伏发电的最大功率追踪。Email:525494979@qq.com

Application of PVMPPT Control Based on PSOBFO Algorithm

LIU Rui,JIAN Xianzhong,QIAN Shuangjie

(School of OpitcalElectrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

Online:2015-05-15 Published:2015-05-19

摘要/Abstract

摘要：

在光照不均匀情况下,光伏阵列P-V曲线上会出现多个极值点,传统算法容易陷入局部最优而失效。文中提出粒子群-细菌觅食算法,将粒子群算法和细菌觅食算法结合。用粒子群算法进行全局搜索,再将粒子看成细菌用细菌觅食算法进行局部搜索。仿真结果证明,该算法在多峰情况的快速准确性。

关键词: 光伏阵列, 粒子群-细菌觅食算法, 光照不均匀

Abstract:

Under the condition of uneven illumination,many extreme value points will appear on the photovoltaic array PV curve.The traditional algorithm may suffer from local optimization and become invalid.In this paper,the particle swarmbacterial foraging algorithm is put forward,which combines the particle swarm optimization (pso) algorithm and the bacterial foraging algorithm.The particle swarm algorithm is used for global search and then the particles are seen as bacteria and the bacterial foraging algorithm is used for local search.Simulation results show that the algorithm is accurate and fast in multipeak conditions.

Key words: photovoltaic array;PSOBFO algorithm;uneven illumination

中图分类号:

TM615

刘瑞,简献忠,钱双杰. 粒子群-细菌觅食在光伏系统MPPT控制中的应用[J]. , 2015, 28(5): 114-.

LIU Rui,JIAN Xianzhong,QIAN Shuangjie. Application of PVMPPT Control Based on PSOBFO Algorithm[J]. , 2015, 28(5): 114-.

参考文献

［1］Faranda R,Leva S.Energy comparison of MPPT techniques for PV systems［J］.WSEAS Transactions on Power Systems,2008,3(6):446-455.

［2］Patel H,Agarwal V.Matlab-based modeling to studythe effects of partial shading on PV array characteristics［J］.IEEE Transaction on Energy Conversion,2008,23(1):302-310.

［3］彭志辉,姜锐,和军平,等.一种新型光伏系统最大功率点跟踪研究［J］.太阳能学报,2013,34(6):991-996.

［4］Ishaque K,Salam Z,Taheri H,et al.Maximum power point tracking for PV system under partial shading condition via particle swarm optimization［C］.Johor Bahru,Malaysia:Applied Power Electronics Colloquium (IAPEC),IEEE,2011:5-9.

［5］刘艳莉,周航,程泽.基于粒子群优化的光伏系统 MPPT 控制方法［J］.计算机工程,2010,36(15):265-267.

［6］高林,谭伟.基于遗传算法的最大功率点跟踪［J］.控制工程,2012,19(4):570-573.

［7］Mostafa Mohamadian.Development a new algorithm for maximum power point tracking of partially shaded photovoltaic arrays［C］.20th Iranian Conference on Electrical Engineering,2012:489-494.

［8］刘立群,王志新,张华强.部分遮蔽光伏发电系统模糊免疫MPPT 控制［J］.电力自动化设备,2010,30(7):96-99.

［9］刘晓燕,祁新梅,郑寿森,等.局部阴影条件下光伏阵列的建模与分析［J］.电网技术,2010,34(11):192-197.

［10］Abraham A,Biswas A,Dasgupta S,et al.Analysis of reproduction operator in bacterial foraging optimization algorithm［C］.IEEE World Congress on Computational Intelligence,2008:1476-1483.

［11］杨大炼,李学军,蒋玲莉.一种细菌觅食算法的改进及其应用［J］.计算机工程与应用,2012,48(13):31-34.

［12］Noguchi T,Togashi S,Nakamoto R.Short-current pulse-based maximum power point tracking method for mul-tiple photovoltaic and converter module system［J］.IEEE Transaction on Industrial Electronics,2002,49(1):217-222.

[1]	王归新,郑启. 局部阴影下光伏阵列各拓扑结构输出特性研究[J]. 电子科技, 2019, 32(5): 75-80.
[2]	谢世龙,张海搏,张弛,顾伟东. 基于模拟退火法的光伏阵列铺设倾角的确定[J]. , 2015, 28(3): 148-.