Sequence Impedance Model Identification of Grid-connected Inverter Based on RBF Neural Network under Weak Network
被引:2
作者:
Li, Fei
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R China
Li, Fei
[1
]
Cai, Shuiliang
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R China
Cai, Shuiliang
[1
]
Wang, Yingfeng
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R China
Wang, Yingfeng
[1
]
Ma, Mingyao
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R China
Ma, Mingyao
[1
]
Zhang, Xing
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R China
Zhang, Xing
[1
]
机构:
[1] Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei, Peoples R China
来源:
2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES
|
2022年
The impedance model of the inverter system is one of the important tools for analyzing stability. For the grey / black box system, the impedance measurement method usually used can only obtain the impedance information under certain operating conditions. However, the change of grid impedance in practical application will lead to the change of operating conditions and frequency coupling effect of inverter system, resulting in large difference of impedance information of inverter. Therefore, this paper proposes a sequence impedance model identification method of grid-connected inverter based on RBF neural network under weak network. Firstly, the discrete impedance data under different grid impedances are obtained by impedance measurement, and then the surrogate model between grid impedance and inverter sequence impedance is established by using RBF neural network. This surrogate model can obtain the amplitude and phase information of inverter impedance at any grid impedance and frequency within the training range. The simulation results verify the effectiveness of this method. This paper provides a new method for modeling grid-connected inverter.
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Li, Fei
Wu, Jintao
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Wu, Jintao
Huang, Yao
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h-index: 0
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Huang, Yao
Zhang, Yongxin
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Zhang, Yongxin
Zhang, Xing
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Zhang, Xing
Ma, Mingyao
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Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
机构:
Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Nian, Heng
Chen, Liang
论文数: 0引用数: 0
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机构:
Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Chen, Liang
Xu, Yunyang
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Xu, Yunyang
Huang, Hongyang
论文数: 0引用数: 0
h-index: 0
机构:
State Grid Zhejiang Elect Power Co, Elect Power Res Inst, Hangzhou 310007, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Huang, Hongyang
Ma, Junchao
论文数: 0引用数: 0
h-index: 0
机构:
State Grid Zhejiang Elect Power Co, Elect Power Res Inst, Hangzhou 310007, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Li, Fei
Wu, Jintao
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h-index: 0
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Wu, Jintao
Huang, Yao
论文数: 0引用数: 0
h-index: 0
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Huang, Yao
Zhang, Yongxin
论文数: 0引用数: 0
h-index: 0
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Zhang, Yongxin
Zhang, Xing
论文数: 0引用数: 0
h-index: 0
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
Zhang, Xing
Ma, Mingyao
论文数: 0引用数: 0
h-index: 0
机构:
Hefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R ChinaHefei Univ Technol, Natl & Local Joint Engn Lab Renewable Energy Acce, Hefei 23000, Peoples R China
机构:
Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Nian, Heng
Chen, Liang
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Chen, Liang
Xu, Yunyang
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Xu, Yunyang
Huang, Hongyang
论文数: 0引用数: 0
h-index: 0
机构:
State Grid Zhejiang Elect Power Co, Elect Power Res Inst, Hangzhou 310007, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
Huang, Hongyang
Ma, Junchao
论文数: 0引用数: 0
h-index: 0
机构:
State Grid Zhejiang Elect Power Co, Elect Power Res Inst, Hangzhou 310007, Zhejiang, Peoples R ChinaZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China