Institutional Repository of Coll Elect & Informat Engn
Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules | |
Zhao, Yingying1; An, Aimin1,2,3; Xu, Yifan1; Wang, Qianqian1; Wang, Minmin1 | |
2021-12 | |
发表期刊 | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS |
ISSN | 2367-2617 |
卷号 | 6期号:1 |
摘要 | Because of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control methods of a PV power generation system cannot achieve optimal power output. They can also lead to misjudgments and poor dynamic performance. To address these issues, this paper proposes a new MPPT method of PV modules based on model predictive control (MPC) and a finite control set model predictive current control (FCS-MPCC) of an inverter. Using the identification model of PV arrays, the module-based MPC controller is designed, and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module temperature. An FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors, the optimal voltage vector is selected according to the optimal value function, and the corresponding optimal switching state is applied to power semiconductor devices of the inverter. The MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified, and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/Simulink. The results show that MPC has better tracking performance under constraints, and the system has faster and more accurate dynamic response and flexibility than conventional PI control. |
关键词 | Grid-connected PV power generation system Model predictive control Maximum power point tracking Inverter Optimal value function |
DOI | 10.1186/s41601-021-00210-1 |
收录类别 | SCIE |
语种 | 英语 |
WOS研究方向 | Energy & Fuels ; Engineering |
WOS类目 | Energy & Fuels ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000707938300001 |
出版者 | SPRINGER SINGAPORE PTE LTD |
来源库 | WOS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/150122 |
专题 | 电气工程与信息工程学院 |
通讯作者 | An, Aimin |
作者单位 | 1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China; 2.Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Gansu, Peoples R China; 3.Lanzhou Univ Technol, Natl Demonstrat Ctr Expt Elect & Control Engn Edu, Lanzhou 730050, Gansu, Peoples R China |
第一作者单位 | 电气工程与信息工程学院 |
通讯作者单位 | 电气工程与信息工程学院; 兰州理工大学 |
第一作者的第一单位 | 电气工程与信息工程学院 |
推荐引用方式 GB/T 7714 | Zhao, Yingying,An, Aimin,Xu, Yifan,et al. Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules[J]. PROTECTION AND CONTROL OF MODERN POWER SYSTEMS,2021,6(1). |
APA | Zhao, Yingying,An, Aimin,Xu, Yifan,Wang, Qianqian,&Wang, Minmin.(2021).Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules.PROTECTION AND CONTROL OF MODERN POWER SYSTEMS,6(1). |
MLA | Zhao, Yingying,et al."Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules".PROTECTION AND CONTROL OF MODERN POWER SYSTEMS 6.1(2021). |
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