[1]王胜辉,李宜伦,郑洪,等. 复合控制算法在光伏MPPT中的应用[J].哈尔滨理工大学学报,2020,25(03):61-67.[doi:10.15938/j.jhust.2020.03.010]
 WANG Sheng hui,LI Yi lun,ZHENG Hong,et al. The Application of Compound Control Algorithm in Photovoltaic System MPPT[J].哈尔滨理工大学学报,2020,25(03):61-67.[doi:10.15938/j.jhust.2020.03.010]
点击复制

 复合控制算法在光伏MPPT中的应用()
分享到:

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
25
期数:
2020年03期
页码:
61-67
栏目:
电气与电子工程
出版日期:
2020-06-25

文章信息/Info

Title:
 The Application of Compound Control Algorithm in Photovoltaic System MPPT
文章编号:
1007-2683(2020)03-0061-07
作者:
 王胜辉1李宜伦2郑洪1高山3
 
1.沈阳工程学院 电力学院,沈阳 110136; 2.国网丹东供电公司,辽宁 丹东 118000; 
3.国网辽宁省电力有限公司电力科学研究院,沈阳 110006)
Author(s):
 WANG Shenghui1LI Yilun2ZHENG Hong1GAO Shan3
 (1.Institute of Electric Power,Shenyang Institute of Engineering,Shenyang 110136,China;
2.State Grid Dandong Electric Power Company, Dandong 118000, China;
3.Electric Power Research Institute of State Grid Liaoning Electric Power Co, Ltd, Shenyang 110006 ,China)
关键词:
 

关键词:光伏发电局部阴影最大功率点跟踪粒子群算法滑模层函数 参数调整

Keywords:
 Keywords:photovoltaic power generationlocal shadow MPPT particle swarm optimization sliding layer function parameter adjustment
分类号:
TM9144
DOI:
10.15938/j.jhust.2020.03.010
文献标志码:
A
摘要:
 摘要:针对光伏阵列受到局部阴影遮挡或光照不均匀时输出呈现多峰值特性,传统单峰值MPPT算法难以追踪到最大功率点的问题,提出一种改进粒子群结合滑模层极值搜索的复合算法。首先在标准粒子群算法中引入改进模拟退火算法的概率判断准则;改进惯性权重变化规律;对其学习因子中加入扰动参数,其次利用滑模层极值搜索算法对粒子群算法所得的疑似最优值进行继续寻优,最后寻得最大功率点。仿真结果表明,复合控制算法能够在不同阴影条件下快速、准确的跟踪最大功率点,避免系统陷入局部最优值。
Abstract:
 Abstract:Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value


参考文献/References:

 [1]吴志程,江智军,杨晓辉. 一种基于功率闭环控制的改进全局MPPT方法[J].电力系统保护与控制,2018,46(1):57.
WU Zhicheng, JIANG Zhijun, YANG Xiaohui. An Improved Global MPPT Method Based on Power Closed-loop Control[J]. Power System Protection and Control,2018,46(1):57.
[2]倪双舞, 苏建徽, 周松林, 等. 部分遮挡条件下光伏阵列最大功率点跟踪方法[J]. 电机与控制学报, 2015,19(4):14. 
NI Shuangwu, SU Jianwei, ZHOU Songlin, et al. Maximum Power Point Tracking Methods of Photovoltaic Array under Partially Shaded Condition[J]. Electric Machines and Control,2015,19(4):14.
[3]刘云,应康,辛焕海,等.基于二次插值法的光伏发电系统控制策略[J].电力系统自动化,2012,36(21):29.
LIU Yun, YING Kang, XIN Huanhai, et al. A Control Strategy for Photovoltaic Generation System Based on Quadratic Interpolation Method[J]. Automation of Electric Power Systems,2012,36(21):31.
[4]唐磊,曾成碧,苗虹,等.基于切线角的光伏变步长最大功率跟踪控制策略[J].电力系统自动化,2013,37(20):28.
TANG Lei, ZENG Chengbi, MIAO Hong, et al. A New Control Strategy for MPP Tracking in Photovoltaic System Based on Contingence Angle and Variable Stelrsize Searching Method[J]. Automation of Electric Power Systems,2013,37(20):28.
[5]张开, 石季英, 林济铿, 等. 基于自适应滑模层极值搜索的光伏发电最大功率跟踪方法[J]. 电力系统自动化, 2015, 39(12):33.
ZHANG Kai, SHI Jiying, LIN Jikeng, et al. Maximum Power Point Tracking Method for Photovoltaic Systems Using Adaptive Extremum Seeking Control Based on Sliding Layer[J]. Automation of Electric Power Systems, 2015,39(12):33.
[6]孙航,杜海江,季迎旭,等.光伏分布式 MPPT 机理分析与仿真研究[J].电力系统保护与控制, 2015, 43(2): 48.
SUN Hang, DU Haijiang, JI Yingxu, et al. Photovoltaic Distributed MPPT Mechanism Analysis and Simulation Study[J]. Power System Protection and Control, 2015, 43(2): 48.
[7]刘邦银,段善旭,康勇,局部阴影条件下光伏模组特性的建模与分析[J].太阳能学报,2008,29(2):188.
LIU Bangyin, DUAN Shanxu, KANG Yong, Modeling and Analysis of Characteristics of pv Module Partial Shading[J]. Acta Energiae Solaris Sinica, 2008,29(2):188.
[8]杨元培,杨 奕,王建山,等.光伏发电传输最大功率储能优化建模仿真[J].计算机仿真,2017,34(9):103.
YANG Yuanpei, YANG Yi, WANG Jianshan, et al. Model and Smulation of the Maximum Power Energy Storage Optimization in Photovoltaic Power Generation Transmission[J]. Computer Simulation, 2017,34(9):103.
[9]李文强, 黎英, 张轩. 改进基于INC算法的光伏发电系统最大功率跟踪[J]. 电源技术, 2017(12):1737. 
LI Wenqiang, LI Ying, ZHANG Xuan. Maximum Power Tracking of Photovoltaic Power Generation System Based on Improved INC Algorithm[J]. Chinese Journal of Power Sources, 2017(12):1737.
[10]DABRA V, PALIWAL K K, SHARMA P, et al. Optimization of Photovoltaic Power System:a Comparative Study[J]. Protection and Control of Modern Power Systems, 2017, 2(2): 29.
[11]LIU Y H, HUANG S C, HUANG J W, et al. A Particle Swarm OptimizationBased Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions[J]. IEEE Transactions on Energy Conversion, 2012, 27(4):1027.
[12]刘建辉, 李博. 局部阴影下基于遗传蚁群算法对MPPT的研究[J]. 可再生能源, 2017, 35(1):13. 
LIU Jianhui, LI Bo. Partial Shadow MPPT Based on Genetic Ant Colony Algorithm[J]. Renewable Energy Resources, 2017, 35(1):13.
[13]赵阳,张军朝,陶亚男,等. 基于粒子群优化变步长扰动观察MPPT算法[J].计算机仿真,2017,34(11):78.
ZHAO Yang, ZHANG Junchao, TAO Yanan, et al. MPPT Algorithm Based on Particle Swarm Optimizing Variable Step P&O[J]. Computer Simulation, 2017,34(11):78.
[14]颜景斌,王飞,王美静,等.改进滑模变结构控制光伏系统最大功率点跟踪[J].哈尔滨理工大学学报,2016,21(4):106.
YAN Jingbin, WANG Fei, WANG Yongliang, et al. Improved Sliding Mode Control for Maximum Power Point Tracking of Solar Photovoltaic Systems[J]. Journal of Harbin University of Science and Technology, 2016,21(4):106.
[15]ISHAQUE K, SALAM Z, SHAMSUDIN A, et al. A Direct Control Based Maximum Power Point Tracking Method for Photovoltaic System under Partial Shading Conditions using Particle Swarm Optimization Algorithm[J]. Applied Energy (S0306-2619), 2012, 99(11): 414.
[16]ROY C S,SAHA H. Maximum Power Point Tracking of Partially Shaded Solar Photovoltaic Arrays[J].Solar Energy Materials and Solar Cells,2010,94(9):1441.
[17]王秀云,赵宇,马万明,等.改进粒子群算法在无功优化中的应用[J].电测与仪表,2015,52(15) : 108.
WANG Xiuyun,ZHAO Yu, MA Wanming, et al. Application of Improved Particle Swarm Algorithm in Reactive Power Optimization[J]. Electrical Measurement&lnstrumentatinn, 2015,52(15) : 108.
[18]唐浩,杨国华,王鹏珍,等. 基于改进粒子群算法的风光蓄互补发电系统容量优化[J].电测与仪表,2017,54(16):50.
TANG Hao, YANG Guohua, WANG Pengzhen, et al. Capacity Optimization of Hybrid Wind-solar-battery Power System Based on Improved Particle Swarm Optimization[J] Electrical Measurement&lnstrumentatinn, 2017,54(16):50.
[19]程准,陆凯,钱煜,等.基于改进PSO算法的MAP图标定点选择新方法.[J].计算机应用研究,2018,36(10):3493.
CHEN Zhun, LU Kai, Qian Yu, et al. New Method of MAP Fixed-point Selection Based on Improved PSO Algorithm[J]. Application Research of Computers,2018,36(10):3493.
[20]PATEL H, AGARWAL V. Maximum Power Point Tracking Scheme for PV Systems Operating under Partially Shaded Conditions[J]. IEEE Transactions on Industrial Electronics, 2008, 55(4): 1689.

相似文献/References:

[1]孙永全,郭建英,陈洪科,等.AMSAA模型可靠性增长预测方法的改进[J].哈尔滨理工大学学报,2010,15(05):49.
 SUN Yong-quan,GUO Jian-ying,CHEN Hong-ke,et al.An Improved Reliability Growth Prediction Algorithm Based on AMSAA Model[J].哈尔滨理工大学学报,2010,15(03):49.
[2]滕志军,李晓霞,郑权龙,等.矿井巷道的MIMO信道几何模型及其信道容量分析[J].哈尔滨理工大学学报,2012,17(02):14.
 TENG Zhi-jun,LI Xiao-xia,ZHENG Quan-long.Geometric Model for Mine MIMO Channels and Its Capacity Analysis[J].哈尔滨理工大学学报,2012,17(03):14.
[3]李艳苹,张礼勇.新训练序列下的改进OFDM符号定时算法[J].哈尔滨理工大学学报,2012,17(02):19.
 LI Yan-ping,ZHANG Li-yong.An Improved Algorithm of OFDM Symbol Timing Based on A New Training Sequence[J].哈尔滨理工大学学报,2012,17(03):19.
[4]赵彦玲,车春雨,铉佳平,等.钢球全表面螺旋线展开机构运动特性分析[J].哈尔滨理工大学学报,2013,18(01):37.
 ZHAO Yan-ling,CHE Chun-yu,XUAN Jia-ping,et al.[J].哈尔滨理工大学学报,2013,18(03):37.
[5]李冬梅,卢旸,刘伟华,等.一类具有连续接种的自治SEIR传染病模型[J].哈尔滨理工大学学报,2013,18(01):73.
 LI Dong-mei,LU Yang,LIU Wei-hua.[J].哈尔滨理工大学学报,2013,18(03):73.
[6]华秀英,刘文德.奇Hamiltonian李超代数偶部的非负Z-齐次导子空间[J].哈尔滨理工大学学报,2013,18(01):76.
 HUA Xiu-ying,LIU Wen-de.[J].哈尔滨理工大学学报,2013,18(03):76.
[7]桂存兵,刘洋,何业军,等.基于LCC谐振电路阻抗匹配的光伏发电最大功率点跟踪[J].哈尔滨理工大学学报,2013,18(01):90.
 GUI Cun-bing,LIU Yong,HE Ye-jun.[J].哈尔滨理工大学学报,2013,18(03):90.
[8]翁凌,闫利文,夏乾善,等.PI/TiC@Al2O3复合薄膜的制备及其电性能研究[J].哈尔滨理工大学学报,2013,18(02):25.
 WENG Ling,YAN Li-wen,XIA Qian-shan.[J].哈尔滨理工大学学报,2013,18(03):25.
[9]姜彬,林爱琴,王松涛,等.高速铣刀安全性设计理论与方法[J].哈尔滨理工大学学报,2013,18(02):63.
 JIANG Bin,LIN Ai-qin,WANG Song-tao,et al.[J].哈尔滨理工大学学报,2013,18(03):63.
[10]李星纬,李晓东,张颖彧,等.EVOH 磺酸锂电池隔膜的制备及微观形貌[J].哈尔滨理工大学学报,2013,18(05):18.
 LI Xing- wei,LI Xiao- dong,ZHANG Ying- yu,et al.The Preparation and Microcosmic Morphology oEVOH- SO Li Lithium Ion Battery Septum[J].哈尔滨理工大学学报,2013,18(03):18.

备注/Memo

备注/Memo:
 

收稿日期: 2018-08-25
基金项目: 国家自然科学基金(61372195)
作者简介:
王胜辉(1964—),男,博士,教授,硕士研究生导师;
郑洪(1961—),男,教授级高级工程师.
通信作者:
李宜伦(1991—),男,硕士研究生,Email:295934192@qq.com.



更新日期/Last Update: 2020-10-13