收藏切换
Photovoltaic-energy storage microgrid control strategy based on improved virtual oscillator and sliding mode control
收藏切换
PDF
Zhankai Li1, 2, Mingzhe Li1, 2, Fumin Zhang1, 2, Jian Zhao1, 2, Shihao Tan1, 2, Shaoyang Bing1, 2
Renewable Energy Resources | 2025, 43(1) : 76 - 82
Less
收藏切换
Renewable Energy Resources | 2025, 43(1): 76-82
Photovoltaic-energy storage microgrid control strategy based on improved virtual oscillator and sliding mode control
Full
Zhankai Li1, 2, Mingzhe Li1, 2, Fumin Zhang1, 2, Jian Zhao1, 2, Shihao Tan1, 2, Shaoyang Bing1, 2
Affiliations
  • 1 State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300401 China
  • 2 Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin 300401 China
Published: 2025-01-20
Outline
收藏切换

Microgrid has problems such as poor dynamic response performance and large overshoot when subjected to external disturbances under traditional droop control. In accordance with the above issues, this paper proposes a control strategy for photovoltaicenergy storage microgrid based on improved virtual oscillator and sliding mode control. The photovoltaic system adopts a twostage structure, and the front stage DCDC converter adopts sliding mode control to enhance the robustness of the microgrid against external interference; The back stage inverter uses a virtual oscillator control with MPPT algorithm to achieve maximum power point tracking control for photovoltaic cells, while improving the dynamic response speed of the microgrid. The energy storage system uses a battery model, and the inverter uses a virtual oscillator control that introduces virtual inertia. Inertia and damping characteristics are introduced into the virtual oscillator control to provide reliable power and frequency support for the microgrid. Finally, based on the Matlab/Simulink platform, a simulation model of the photovoltaicenergy storage microgrid is built. By comparing the simulation results with traditional droop control strategies, the feasibility and effectiveness of the control strategy proposed in this paper are verified.

virtual oscillator control  /  sliding mode control  /  photovoltaic -energy storage microgrid  /  energy storage
Zhankai Li, Mingzhe Li, Fumin Zhang, Jian Zhao, Shihao Tan, Shaoyang Bing. Photovoltaic-energy storage microgrid control strategy based on improved virtual oscillator and sliding mode control[J]. Renewable Energy Resources, 2025 , 43 (1) : 76 -82 .
Year 2025 volume 43 Issue 1
PDF
275
124
Cite this Article
BibTeX
Article Info
  • Receive Date:2023-01-10
  • Online Date:2025-07-18
  • Published:2025-01-20
Article Data
Affiliations
History
  • Received:2023-01-10
Funding
Affiliations
    1 State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300401 China
    2 Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin 300401 China
References
Share
https://castjournals.cast.org.cn/joweb/kzsny/EN/
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

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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