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This paper investigates the use of a virtual synchronous generator(VSG) to improve frequency stability in an autonomous photovoltaic-diesel microgrid with energy storage. VSG control is designed to emulate inertial response and damping power via power injection from/to the energy storage system. The effect of a VSG with constant parameters(CP-VSG) on the system frequency is analyzed. Based on the case study, self-tuning algorithms are used to search for optimal parameters during the operation of the VSG in order to minimize the amplitude and rate of change of the frequency variations. The performances of the proposed self-tuning(ST)-VSG, the frequency droop method, and the CP-VSG are evaluated by comparing their effects on attenuating frequency variationsunder load variations. For both simulated and experimental cases, the ST-VSG was found to be more efficient than the other two methods in improving frequency stability.
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篇名 Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids
来源期刊 现代电力系统与清洁能源学报(英文) 学科 工学
关键词 Virtual SYNCHRONOUS generator(VSG) Frequency stability AUTONOMOUS MICROGRID SELF-TUNING algorithm Energy storage system
年,卷(期) 2018,(3) 所属期刊栏目
研究方向 页码范围 482-494
页数 13页 分类号 TM341
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研究主题发展历程
节点文献
Virtual
SYNCHRONOUS
generator(VSG)
Frequency
stability
AUTONOMOUS
MICROGRID
SELF-TUNING
algorithm
Energy
storage
system
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
现代电力系统与清洁能源学报(英文)
双月刊
2196-5625
32-1884/TK
No. 19 Chengxin Aven
出版文献量(篇)
386
总下载数(次)
0
总被引数(次)
0
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