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Low-voltage Ride-through Control of Photovoltaic Virtual Synchronous Generator Using Novel Model Prediction
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Lu CHEN1, 2, Xi ZHANG1, 2, Xiaoyuan DANG1, 2, Jie LI1, 2, Tiecheng FENG1, 2
Journal of Power Supply | 2024, 22(4) : 163 - 172
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Journal of Power Supply | 2024, 22(4): 163-172
Renewable Energy System
Low-voltage Ride-through Control of Photovoltaic Virtual Synchronous Generator Using Novel Model Prediction
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Lu CHEN1, 2, Xi ZHANG1, 2, Xiaoyuan DANG1, 2, Jie LI1, 2, Tiecheng FENG1, 2
Affiliations
  • 1 School of Intelligent Engineering Chongqing College of Mobile Communication Chongqing 401520 China
  • 2 Chongqing Key Laboratory of Public Big Data Security Technology Chongqing 401520 China
Published: 2024-07-30 doi: 10.13234/j.issn.2095-2805.2024.4.163
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The use of virtual synchronous generator (VSG) strategy for a photovoltaic (PV) inverter can achieve inertia and damping support. The traditional VSG cannot provide transient reactive voltage support for the system and cannot meet the demand for voltage regulation during the low-voltage ride-through (LVRT) periods. After the occurrence of a grounding fault, the VSG control of the PV inverter is switched to model predictive control (MPC). After the grounding fault is removed, the MPC is switched back to the VSG control strategy. To improve the target current tracking capability during the LVRT periods, an adaptive objective function is set in the MPC. MATLAB/ Simulink simulation and experimental results show that the PV VSG under the novel MPC has an LVRT capability. During the LVRT periods, the MPC current control is precise, and there is no transient current surge during the switching from the MPC to VSG control.

Virtual synchronous generator (VSG)  /  photovoltaic (PV) grid-connected system  /  low-voltage ride-through (LVRT)  /  model prediction  /  smooth switching
Lu CHEN, Xi ZHANG, Xiaoyuan DANG, Jie LI, Tiecheng FENG. Low-voltage Ride-through Control of Photovoltaic Virtual Synchronous Generator Using Novel Model Prediction[J]. Journal of Power Supply, 2024 , 22 (4) : 163 -172 . DOI: 10.13234/j.issn.2095-2805.2024.4.163
  • Chongqing Municipal Education Commission Science and Technology Research Funding Project(KJZD-K202002401)
Year 2024 volume 22 Issue 4
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.4.163
  • Receive Date:2023-03-08
  • Online Date:2025-07-21
  • Published:2024-07-30
Article Data
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History
  • Received:2023-03-08
  • Revised:2023-09-25
  • Accepted:2023-10-27
Funding
Chongqing Municipal Education Commission Science and Technology Research Funding Project(KJZD-K202002401)
Affiliations
    1 School of Intelligent Engineering Chongqing College of Mobile Communication Chongqing 401520 China
    2 Chongqing Key Laboratory of Public Big Data Security Technology Chongqing 401520 China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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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
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