Control strategy of grid-connected photovoltaic generation system based on GMPPT method

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Wang, Zhongfeng^1 ; Zhang, Xuyang^2 ; Hu, Bo^3 ; Liu, Jun^4 ; Li, Ligang^1 ; Gu, Yongqiang^2 ; Zhou, Bowen^2

Shenyang Institute of Automation, Chinese Academy of Sciences, China^1

College of Information Science and Engineering, Northeastern University, China^2

State Grid Huludao Power Supply Company, China^3

State Grid Anshan Power Supply Company, China^4

关键词: Different operating conditions;    Global maximum power point tracking;    Grid-connected photovoltaic;    Incremental conductances (INC);    Maximum Power Point Tracking;    Multiple local maximums;    Partial shading condition (PSC);    Particle swarm optimization algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/4/042037/pdf
DOI  :  10.1088/1755-1315/121/4/042037

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

There are multiple local maximum power points when photovoltaic (PV) array runs under partial shading condition (PSC).However, the traditional maximum power point tracking (MPPT) algorithm might be easily trapped in local maximum power points (MPPs) and cannot find the global maximum power point (GMPP). To solve such problem, a global maximum power point tracking method (GMPPT) is improved, combined with traditional MPPT method and particle swarm optimization (PSO) algorithm. Under different operating conditions of PV cells, different tracking algorithms are used. When the environment changes, the improved PSO algorithm is adopted to realize the global optimal search, and the variable step incremental conductance (INC) method is adopted to achieve MPPT in optimal local location. Based on the simulation model of the PV grid system built in Matlab/Simulink, comparative analysis of the tracking effect of MPPT by the proposed control algorithm and the traditional MPPT method under the uniform solar condition and PSC, validate the correctness, feasibility and effectiveness of the proposed control strategy.