Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System

Yushan Liu; Xuyang Liu; Xiao Li; Haiwen Yuan; Yaosuo Xue

doi:10.1109/SGRE53517.2022.9774042

Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System

Yushan Liu
, Xuyang Liu
, Xiao Li
, Haiwen Yuan
, Yaosuo Xue

自动化科学与电气工程学院

Oak Ridge National Laboratory
Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations and other advantages of Z-source inverter. Traditional ES-qZSI suffers from poor operation at night or cloudy days when PV power is extremely low. In order to overcome that, this paper proposes a model predictive control (MPC) strategy for an improved dual-mode ES-qZSI, which is designed to support all-weather operation of PV power generation system. The system predictive models in both day and night operating modes are derived. And the control strategy based on MPC is disclosed to ensure the high-performance operation of the system. Simulation is carried out on PV power fluctuation in daytime and switching between the two modes, to verify the effectiveness of proposed control strategy.

源语言	英语
主期刊名	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781665479080
DOI	https://doi.org/10.1109/SGRE53517.2022.9774042
出版状态	已出版 - 2022
活动	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Doha, 卡塔尔期限: 20 3月 2022 → 22 3月 2022

出版系列

姓名	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

会议

会议	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022
国家/地区	卡塔尔
市	Doha
时期	20/03/22 → 22/03/22

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/SGRE53517.2022.9774042

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, Y., Liu, X., Li, X., Yuan, H., & Xue, Y. (2022). Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System. 在 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGRE53517.2022.9774042

Liu, Yushan ; Liu, Xuyang ; Li, Xiao 等. / Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System. 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings).

@inproceedings{abc62032e49041da89dd486783ec3a23,

title = "Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System",

abstract = "The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations and other advantages of Z-source inverter. Traditional ES-qZSI suffers from poor operation at night or cloudy days when PV power is extremely low. In order to overcome that, this paper proposes a model predictive control (MPC) strategy for an improved dual-mode ES-qZSI, which is designed to support all-weather operation of PV power generation system. The system predictive models in both day and night operating modes are derived. And the control strategy based on MPC is disclosed to ensure the high-performance operation of the system. Simulation is carried out on PV power fluctuation in daytime and switching between the two modes, to verify the effectiveness of proposed control strategy.",

keywords = "Energy storage, Model predictive control, Photovoltaic power systems, quasi-Z-source inverter",

author = "Yushan Liu and Xuyang Liu and Xiao Li and Haiwen Yuan and Yaosuo Xue",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 ; Conference date: 20-03-2022 Through 22-03-2022",

year = "2022",

doi = "10.1109/SGRE53517.2022.9774042",

language = "英语",

series = "3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings",

address = "美国",

}

Liu, Y, Liu, X, Li, X , Yuan, H & Xue, Y 2022, Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System. 在 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022, Doha, 卡塔尔, 20/03/22. https://doi.org/10.1109/SGRE53517.2022.9774042

Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System. / Liu, Yushan; Liu, Xuyang; Li, Xiao 等.
3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System

AU - Liu, Yushan

AU - Liu, Xuyang

AU - Li, Xiao

AU - Yuan, Haiwen

AU - Xue, Yaosuo

PY - 2022

Y1 - 2022

N2 - The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations and other advantages of Z-source inverter. Traditional ES-qZSI suffers from poor operation at night or cloudy days when PV power is extremely low. In order to overcome that, this paper proposes a model predictive control (MPC) strategy for an improved dual-mode ES-qZSI, which is designed to support all-weather operation of PV power generation system. The system predictive models in both day and night operating modes are derived. And the control strategy based on MPC is disclosed to ensure the high-performance operation of the system. Simulation is carried out on PV power fluctuation in daytime and switching between the two modes, to verify the effectiveness of proposed control strategy.

AB - The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations and other advantages of Z-source inverter. Traditional ES-qZSI suffers from poor operation at night or cloudy days when PV power is extremely low. In order to overcome that, this paper proposes a model predictive control (MPC) strategy for an improved dual-mode ES-qZSI, which is designed to support all-weather operation of PV power generation system. The system predictive models in both day and night operating modes are derived. And the control strategy based on MPC is disclosed to ensure the high-performance operation of the system. Simulation is carried out on PV power fluctuation in daytime and switching between the two modes, to verify the effectiveness of proposed control strategy.

KW - Energy storage

KW - Model predictive control

KW - Photovoltaic power systems

KW - quasi-Z-source inverter

UR - https://www.scopus.com/pages/publications/85130918341

U2 - 10.1109/SGRE53517.2022.9774042

DO - 10.1109/SGRE53517.2022.9774042

M3 - 会议稿件

AN - SCOPUS:85130918341

T3 - 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

BT - 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022

Y2 - 20 March 2022 through 22 March 2022

ER -

Liu Y, Liu X, Li X , Yuan H, Xue Y. Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System. 在 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings). doi: 10.1109/SGRE53517.2022.9774042

Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此