基于变论域模糊控制光伏MPPT算法的仿真研究

doi:10.16180/j.cnki.issn1007-7820.2020.11.004

Abstract

Abstract:

Generally, the controller designed by the fuzzy control algorithm is targeted to realize the MPPT control of the photovoltaic system. When the PV system or controller parameters change, there will be problems such as slow tracking speed, poor stability, and even tracking failure. In view of this, an MPPT algorithm based on variable universe fuzzy control is adopted in this paper. The fuzzy rule of controller is designed by using the tracking principle of conductance increment method to improve the universality of the controller. In addition, the algorithm introduces a scaling factor to implement the design of the variable universe to reduce the impact of changes in controller parameters on the tracking effect. The simulation model is built in MATLAB/Simulink, and the feasibility of the algorithm is verified. The simulation results show that the algorithm is nearly doubled in tracking speed compared with the conductance increment method. The simulation results show that the variable-domain fuzzy control method is nearly doubled in tracking speed compared with the conductance increment method. Besides, under the mismatch of the domain mismatch and the PV system model, the new method can better realize the MPPT control of the photovoltaic system compared with the conventional fuzzy control.

Key words: photovoltaic power generation system, MPPT, incremental conductance, scaling factor, variable universe fuzzy control, MATLAB simulation

CLC Number:

TP273.4

JIANG Pengcheng,TANG Zhanjun,LIU Pinglan. Simulation Study of Photovoltaic MPPT Based on Variable Universe Fuzzy Control[J].Electronic Science and Technology, 2020, 33(11): 16-23.

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References 17

[1]	邱革非, 张春刚, 仲泽坤, 等. 基于扰动观察法和电导增量法的光伏发电系统MPPT算法研究综述[J]. 中国电力, 2017,50(3):154-160.
	Qiu Gefei, Zhang Chungang, Zhong Zekun, et al. Areview of research on photovoltaic power generation system MPPT algorithm based on disturbance observation method and conductance increment method[J]. China Power, 2017,50(3):154-160.
[2]	Das P K. Simulation and experimental design of a new advanced variable step size incremental conductance MPPT algorithm for PV systems[J]. ISA Transactions, 2016,62(1):30-38.
[3]	荣德生, 刘凤. 改进型扰动观察法在光伏MPPT中的研究[J]. 电力系统及其自动化学报, 2017,29(3):104-109.
	Rong Desheng, Liu Feng. Study on improved disturbance observation method in photovoltaic MPPT[J]. Journal of Electric Power System and Automation, 2017,29(3):104-109.
[4]	董慧颖, 白鹤. 基于模糊控制的太阳电池最大功率点跟踪算法研究[J]. 太阳能学报, 2014,35(8):1416-1421.
	Dong Huiying, Bai He. Research of maximum power point tracking of solar cell based on fuzzy controlling technology[J]. Acta Engergiae Solaris Sinica, 2014,35(8):1416-1421.
[5]	金爱娟, 纪晨烨, 郑柯童, 等. 光伏系统最大功率跟踪算法的研究[J]. 电子科技, 2018,31(2):24-28.
	Jin Aijuan, Ji Chenye, Zheng Ketong, et al. Research on maximum power tracking algorithm for photovoltaic system[J]. Electronic Science and Technology, 2018,31(2):24-28.
[6]	游超, 王宏华, 戴伊凡. 基于T-S模糊控制器的光伏阵列最大功率点跟踪控制[J]. 机械制造与自动化, 2019,48(1):182-185.
	You Chao, Wang Honghua, Dai Yifan. Maximum power point tracking control of photovoltaic array based on T-S fuzzy controller[J]. Machinery Manufacturing & Automation, 2019,48(1):182-185.
[7]	胡先锋. 太阳能光伏发电系统最大功率点跟踪技术研究[D]. 阜新:辽宁工程技术大学, 2018.
	Hu Xianfeng. Research on maximum power point tracking technology of solar photovoltaic power generation system[D]. Fuxin:Liaoning University of Engineering and Technology, 2018.
[8]	薛亚林, 周建萍, 朱建萍, 等. 光伏发电中基于模糊自适应修正变步长最大功率点跟踪的控制策略[J]. 电机与控制应用, 2016,43(12):11-17.
	Xue Yalin, Zhou Jianping, Zhu Jianping, et al. Control strategy based on fuzzy adaptive correction variable step size maximum power point tracking in photovoltaic power generation[J]. Motor and Control Applications, 2016,43(12):11-17.
[9]	范钦民, 闫飞, 张翠芳, 等. 基于模糊控制的光伏MPPT算法改进[J]. 太阳能学报, 2017,38(8):2151-2158.
	Fan Qinmin, Yan Fei, Zhang Cuifang, et al. PV MPPT algorithm improvement based on fuzzy control[J]. Acta Engergiae Solaris Sinica, 2017,38(8):2151-2158.
[10]	杨洪兴, 吕琳, 马涛光. 太阳能风能互补发电技术及应用[M]. 北京: 中国建筑工业出版社, 2015.
	Yang Hongxing, Lü Lin, Ma Taoguang. Solar wind energy complementary power generation technology and application[M]. Beijing: China Building Industry Press, 2015.
[11]	孙伟翔, 汪旭东, 许孝卓, 等. 基于变论域模糊PID的垂直提升系统控制研究[J]. 电子科技, 2018,31(6):67-69.
	Sun Weixiang, Wang Xudong, Xu Xiaozhuo, et al. Study on the control of vertical lifting system based on fuzzy PID of variable universe[J]. Electronic Science and Technology, 2018,31(6):67-69.
[12]	党存禄, 李建华, 杜巍, 等. 组合爬山法与变论域模糊控制的MPPT算法[J]. 电子技术应用, 2018,44(3):143-146.
	Dang Cunlu, Li Jianhua, Du Wei, et al. Combined MP climbing algorithm and MPPT algorithm for variable domain fuzzy control[J]. Application of Electronic Technique, 2018,44(3):143-146.
[13]	朱镜儒, 粟时平, 刘桂英, 等. 光伏发电阵列输出的变论域模糊滞环MPPT控制研究[J]. 电力科学与工程, 2014,30(1):56-61.
	Zhu Jingru, Su Shiping, Liu Guiying, et al. Study on the variable-disciplinary fuzzy hysteresis MPPT control of photovoltaic array output[J]. Power Science and Engineering, 2014,30(1):56-61.
[14]	冯迎北. 改进的光伏MPPT算法及含光伏电源的综合负荷建模[D]. 郑州:郑州大学, 2017.
	Feng Yingbei. Improved photovoltaic MPPT algorithm and integrated load modeling with photovoltaic power supply[D]. Zhengzhou:Zhengzhou University, 2017.
[15]	Amir A, Amir A, Selvaraj J, et al. Study of the MPP tracking algorithms:Focusing the numerical method techniques[J]. Renewable and Sustainable Energy Reviews, 2016,62(1):350-371.
[16]	Mazen A S, Mohamed-Tharwat E M, Mohamed G. An improved perturb-and-observe based MPPT method for PV systems under varying irradiation levels[J]. Solar Energy, 2018,171(5):547-561.
[17]	Martin A D, Vazquez J R, Cano J M. MPPT in PV systems under partial shading conditions using artificial vision[J]. Electric Power Systems Research, 2018,162(6):89-98.

ec e	NB	NS	Z	PS	PB
NB	PB	PB	PS	PS	Z
NS	PB	PS	PS	Z	Z
Z	PS	Z	Z	Z	NS
PS	Z	Z	NS	NS	NB
PB	Z	NS	NS	NB	NB

类别	参数	数值
光伏电池a	短路电流I_sc/A	9.1
	开路电压U_oc/V	36.5
	峰值电流I_m/A	8.2
	峰值电压U_oc/V	30.4
光伏电池b	短路电流I_sc/A	5.9
	开路电压U_oc/V	22.4
	峰值电流I_m/A	5.4
	峰值电压U_oc/V	18.4
系统电路	电感L/mH	0.3
	电容C_pv/mF	10
	电容C/mF	0.1
	电阻R/Ω	20
控制器	模糊输入论域X_e	[-0.01,0.01]
	模糊输入论域X_ec	[-0.005,0.005]
	模糊输出论X_e_,ec	[-0.2,0.2]
	伸缩因子参数λ	0.2
	伸缩因子参数τ	1

环境条件	类别	稳定时间 /s	稳定时电压 /V	稳定功率 /W
T=25 ℃ S=1 000 W·m²	INC	0.08	30.4±0.2	250.6
	文中算法	0.038	30.4±0.2	250.6
	标准值	-	30.5	251.1

环境条件	类别	光照突变阶段			光照持续变化阶段
环境条件	类别	稳定时间/s	稳定时电压/V	稳定时功率/W	光照持续变化阶段
0.11 s时,光照由1 000 W·m^-2突变到500 W·m^-2; 0.15 s时,光照以 500 W·m^-2·s^-1的速度持续上升	INC	0.14	30.1±0.2	122.12	功率下降
	文中算法	0.112	30.1±0.2	122.12	功率持续上升
	标准值	-	30.1	122.12	功率持续上升

环境条件	类别	标准测试条件		光照突变
环境条件	类别	稳定时间/s	稳定功率/W	稳定时间/s	稳定功率/W
开始时,T=25 ℃ S=1 000W·m^-2; 0.07 s时,光照由 1 000 W·m^-2突变到500 W·m^-2	Fuzzy	0.055	250.6	0.102	121.71
	文中算法	0.038	250.6	0.073	122.08
	标准值	-	251.1	-	122.12

Simulation Study of Photovoltaic MPPT Based on Variable Universe Fuzzy Control

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