A Vine-Copula Based Voltage State Assessment with Wind Power Integration

Xiaolu Chen, Ji Han, Tingting Zheng, Ping Zhang, Simo Duan and Shihong Miao
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Xiaolu Chen: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Ji Han: 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, China
Tingting Zheng: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Ping Zhang: State Grid East Inner Mongolia Electric Power Company Limited Electric Power Research Institute, Hohhot 010020, China
Simo Duan: 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, China
Shihong Miao: 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, China

Energies, 2019, vol. 12, issue 10, 1-21

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.

Keywords: voltage state assessment; large-scale wind power integration; vine-copula; probabilistic load flow; east Inner Mongolia power system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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