LAPSE:2023.4150
Published Article
LAPSE:2023.4150
A Vine-Copula Based Voltage State Assessment with Wind Power Integration
February 22, 2023
Abstract
With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integration is proposed. Firstly, the nonparametric kernel density estimation is used to fit the wind speed distribution, and vine-copula is used to construct the wind speed joint distribution model of multiple regions. In order to obtain voltage distribution characteristics, probabilistic load flow based on the semi-invariant method and wind speed independent transformation based on the Rosenblatt transformation are described. On this basis, a voltage state assessment index is established for the more comprehensive evaluation of voltage characteristics, and a voltage state assessment procedure is proposed. Taking actual wind speed as an example, the case study of the IEEE 24-node power system and the east Inner Mongolia power system for voltage state assessment with large-scale wind power integration are studied. The simulation results verify the effectiveness of the proposed voltage state assessment method.
With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integration is proposed. Firstly, the nonparametric kernel density estimation is used to fit the wind speed distribution, and vine-copula is used to construct the wind speed joint distribution model of multiple regions. In order to obtain voltage distribution characteristics, probabilistic load flow based on the semi-invariant method and wind speed independent transformation based on the Rosenblatt transformation are described. On this basis, a voltage state assessment index is established for the more comprehensive evaluation of voltage characteristics, and a voltage state assessment procedure is proposed. Taking actual wind speed as an example, the case study of the IEEE 24-node power system and the east Inner Mongolia power system for voltage state assessment with large-scale wind power integration are studied. The simulation results verify the effectiveness of the proposed voltage state assessment method.
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Keywords
east Inner Mongolia power system, large-scale wind power integration, probabilistic load flow, vine-copula, voltage state assessment
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Suggested Citation
Chen X, Han J, Zheng T, Zhang P, Duan S, Miao S. A Vine-Copula Based Voltage State Assessment with Wind Power Integration. (2023). LAPSE:2023.4150
Author Affiliations
Chen X: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Han J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Ch
Zheng T: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Zhang P: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Duan S: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Ch
Miao S: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Ch
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Han J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Ch
Zheng T: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Zhang P: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Duan S: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Ch
Miao S: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Ch
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Journal Name
Energies
Volume
12
Issue
10
Article Number
E2019
Year
2019
Publication Date
2019-05-27
ISSN
1996-1073
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PII: en12102019, Publication Type: Journal Article
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LAPSE:2023.4150
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https://doi.org/10.3390/en12102019
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