[1]艾雪雯,王孝贤,姚乃夫,等.基于新型变步长爬山搜索法的光伏MPPT系统设计[J].工业仪表与自动化装置,2018,(01):124.[doi:1000-0682（2018）01-0003-04]
　AI Xuewen,WANG Xiaoxian,YAO Naifu,et al.A new variable step size hill-climbing algorithm applied to PV-MPPT system[J].Industrial Instrumentation & Automation,2018,(01):124.[doi:1000-0682（2018）01-0003-04]
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基于新型变步长爬山搜索法的光伏MPPT系统设计

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年01期
页码:
124
栏目:
出版日期:
2018-02-15

文章信息/Info

Title:
A new variable step size hill-climbing algorithm applied to PV-MPPT system
作者:
艾雪雯1; 王孝贤2; 姚乃夫1; 王晓蒙1; 汪贵平1; 黄 鹤1
1.长安大学 电子与控制工程学院，西安 710064；2.渭南市公路工程建设处，陕西 渭南 714000
Author(s):
AI Xuewen1; WANG Xiaoxian2; YAO Naifu1; WANG Xiaomeng1; WANG Guiping1; HUANG He1
1.College of Electronics and Control Engineering，Chang’an University，Xi’an 710064，China;2. Weinan Highway Engineering Construction Office，Shaanxi Weinan 714000，China
关键词:
光伏发电; 最大功率点跟踪; 爬山搜索法; 变步长优化算法
Keywords:
photovoltaic(PV); maximum power point tracking (MPPT); climbing search algorithm; variable step size algorithm
分类号:
TM615
DOI:
1000-0682（2018）01-0003-04
文献标志码:
A
摘要:
针对光伏发电系统传统跟踪算法精度低、适应性差、振荡剧烈等问题，提出一种改进的变步长爬山算法。该算法采用了二分变步长与固定步长结合的新型爬山算法，实现了对光伏MPPT系统的控制。仿真结果表明，与传统爬山搜索法相比，改进算法的跟踪速度提高了1.57%，稳定时间减少了1.2%，输出效率提高了5.4%左右，同时还极大地减少了在最大功率点附近的振荡幅度，提高了系统的稳定性。
Abstract:
In order to?solve?the problems of the low accuracy, poor adaptability and drastic oscillation in traditional photovoltaic（PV） power generation maximum power point tracking（MPPT）system, an improved variable step size algorithm was proposed. The paper puts forward an new tracking algorithm which combines 1/2 variable step method with the fixed step method, which to control PV-MPPT system. The simulation results indicate that compared with the traditional method，the tracking speed of proposed method is increased by 1.57%, the stable time reduced by 1.2%，the output efficiency is increased by 5.4%，meanwhile it significantly reduced the oscillation amplitude near the maximum power point, improved the stability.

参考文献/References:

[1] 冯涛,陈华.固定电压法结合电导增量法在光伏发电最大功率点跟踪控制中的应用[J].电源技术应用,2011(06): 23-27.

[2] 任玲,宗灶童.扰动观察法实现太阳能电池最大功率跟踪控制[J].工业仪表与自动化装置,2010(02):42-44.
[3] 焦阳,宋强,刘文华.基于改进MPPT算法的光伏并网系统控制策略[J].电力自动化设备,2010(12):92-96.
[4] 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(S1):229-234.
[5] 刘翼,荆龙,童亦斌.基于Simulink的光伏电池组件建模和MPPT仿真研究[J].科技导报,2010(18):94-97.
[6] 陈亚爱,周京华,李津,等.梯度式变步长MPPT算法在光伏系统中的应用[J].中国电机工程学报,2014(19): 3156-3161.
[7] 吴硕,赵继忠.光伏发电系统并网运行的控制策略与仿真分析[J].工业仪表与自动化装置,2015(06):41-44.
[8] 夏德印,张赛,张公全,等.光伏发电系统功率最大化方法研究与实现[J].工业仪表与自动化置,2015(03):48-50,93.
[9] T Esram, P L Chapman. Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques[J].IEEE Transactions on Energy Conversion, 2007(22):
[10] A novel MPPT(maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading[J]. Stefan Daraban,Dorin Petreus,Cristina Morel.Energy. 2014.
[11] Alajmi B N, Ahmed K H, Finney S J,et al. A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids[J]. IEEE Transactions on Industrial Electronics, 2013

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备注/Memo

备注/Memo:
收稿日期：2017-04-28
基金项目：陕西省交通运输厅科研项目(17-16K)
作者简介：艾雪雯(1994),女，硕士生，研究方向为智能测控技术。
更新日期/Last Update: 2018-02-02