Home Journals Articles Updates About
CN
image
收藏切换
Control Strategy for Photovoltaic Hybrid Energy Storage System Based on Model Predictive Control
收藏切换
Tao HAI1, Yulin LIU1, Jun WANG2, Jianfeng LU3
Journal of Power Supply | 2026, 24(3) : 111 - 118
Less
收藏切换
Journal of Power Supply | 2026, 24(3): 111-118
• Renewable Energy Generation and Energy Storage •
Control Strategy for Photovoltaic Hybrid Energy Storage System Based on Model Predictive Control
Full
Tao HAI1, Yulin LIU1, Jun WANG2, Jianfeng LU3
Affiliations
  • 1.College of Electrical Engineering, Guangxi University, Nanning 530004, China
  • 2.Hualan Design Group Co., Ltd., Nanning 530004, China
  • 3.China Tobacco Guangxi Industrial Co., Ltd., Nanning 530004, China
Published: 2026-03-30 doi: 10.13234/j.issn.2095-2805.2026.3.111
Outline
收藏切换

The energy storage system is an important part of photovoltaic microgrid. However, the traditional battery energy storage system has many problems such as a low power density and a short service life. A supercapacitor hybrid energy storage system based on photovoltaic power generation is established, and its control strategy is proposed, under which the DC-DC converter connected to the energy storage element is controlled through the coordinated operation of model predictive control (MPC) and low-pass filter, and the DC-AC converter connected to the AC side is controlled through a virtual synchronous generator. MPC is a real-time control method, and it can determine the constraints in certain time domain in the future according to the system state at present and optimize the control objectives in the predicted time domain, which has good stability and robustness compared with other control methods. Under changes in the parameters including the intensity of solar radiation, the DC bus voltage can be kept stable, and the dynamic response capability of DC bus voltage can be improved. Finally, the system is simulated in MATLAB/Simulink, and the effectiveness of the proposed method is verified.

Microgrid  /  hybrid energy storage  /  supercapacitor  /  model predictive control (MPC)
海涛, 刘昱麟, 王钧, 陆剑锋. 基于模型预测控制的光伏混合储能系统控制策略. 电源学报, 2026 , 24 (3) : 111 -118 . DOI: 10.13234/j.issn.2095-2805.2026.3.111
Tao HAI, Yulin LIU, Jun WANG, Jianfeng LU. Control Strategy for Photovoltaic Hybrid Energy Storage System Based on Model Predictive Control[J]. Journal of Power Supply, 2026 , 24 (3) : 111 -118 . DOI: 10.13234/j.issn.2095-2805.2026.3.111
Funding
Less
  • National Natural Science Foundation of China(51867003)
  • Guangxi Key R&D Program(桂科AB22035037)
Appendix
Less
Year 2026 volume 24 Issue 3
42
9
Cite this Article
BibTeX
Article Info
doi: 10.13234/j.issn.2095-2805.2026.3.111
  • Receive Date：2023-07-03
  • Online Date：2026-10-29
  • Published：2026-03-30
Article Data
Affiliations
History
  • Received：2023-07-03
  • Revised：2023-09-05
  • Accepted：2023-10-29
Funding
National Natural Science Foundation of China(51867003)
Guangxi Key R&D Program(桂科AB22035037)
Affiliations
    1.College of Electrical Engineering, Guangxi University, Nanning 530004, China
    2.Hualan Design Group Co., Ltd., Nanning 530004, China
    3.China Tobacco Guangxi Industrial Co., Ltd., Nanning 530004, China
References
Share
https://castjournals.cast.org.cn/joweb/dyxb/EN/10.13234/j.issn.2095-2805.2026.3.111
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House