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Congestion Identification and Expansion Planning Methods of Transmission System Considering Wind Power and TCSC

Authors :
Fan Chen
Jianlin Liu
Meilian Zhao
Haitao Liu
Source :
IEEE Access, Vol 10, Pp 89915-89923 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

Transmission congestion identification and expansion planning methods for power systems with wind power are proposed in this paper. First, wind farm model is established based on Copula theory considering the uncertainty and correlation of wind speed and wind turbine’s failure. Next, generation rescheduling model with wind farm and TCSC is established and a transmission congestion identification method based on reliability evaluation is proposed. Then, alternative schemes of expansion planning have been proposed according to the results of congestion identification, and the final scheme is determined by probabilistic economic analysis method. Finally, case studies have been carried out on modified RBTS test system. For the mRBTS system, when wind farms are integrated into system from bus 1 and 2, the best expansion solution is to build new transmission line; while when wind farms are integrated from bus 3 and 5, the best expansion solution is to install TCSC. Results of case studies verify the effectiveness of the proposed congestion identification and expansion planning methods of transmission system, and reveal that the location of wind power affects the decision making of transmission system expansion planning scheme.

Details

Language :
English
ISSN :
21693536
Volume :
10
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.08ef76fb1a004634b50c43858bd60ef6
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2022.3201892