TY - GEN
T1 - Oscillation Suppression Method based on Power Control Optimization of the Wind Farms
AU - Yang, Jiaqi
AU - Wang, Shaojun
AU - Li, Zhen
AU - Tian, Xu
AU - Liu, Bin
AU - Liu, Xiangdong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Oscillation issues in the grid-connected wind farm system can severely deteriorate the power system security and lead to serious damage. Based on the impedance analysis method, many oscillation suppression methods have been proposed for reshaping the impedance characteristics of system to avoid the risk of oscillations. However, modifying converters' controllers to reshape the wind turbines (WTs) impedance and usage of additional damping devices for reshaping the grid impedance both are time-consuming and costly. Therefore, based on the sequence impedance model of the grid-connected wind farm system, this paper proposes a novel oscillation suppression method by optimizing the power control of wind farm. The system stability margin can be improved by modifying the number of online WTs and the output power of each WT to reshape the impedance of wind farm, under the precondition that the output power demand of wind farm is satisfied. Then, the intelligent particle swarm optimization (PSO) algorithm is used to solve the optimization approach to obtain the number of online WTs with optimal stability margin. Finally, the simulation confirms the effectiveness of the proposed oscillation suppression method.
AB - Oscillation issues in the grid-connected wind farm system can severely deteriorate the power system security and lead to serious damage. Based on the impedance analysis method, many oscillation suppression methods have been proposed for reshaping the impedance characteristics of system to avoid the risk of oscillations. However, modifying converters' controllers to reshape the wind turbines (WTs) impedance and usage of additional damping devices for reshaping the grid impedance both are time-consuming and costly. Therefore, based on the sequence impedance model of the grid-connected wind farm system, this paper proposes a novel oscillation suppression method by optimizing the power control of wind farm. The system stability margin can be improved by modifying the number of online WTs and the output power of each WT to reshape the impedance of wind farm, under the precondition that the output power demand of wind farm is satisfied. Then, the intelligent particle swarm optimization (PSO) algorithm is used to solve the optimization approach to obtain the number of online WTs with optimal stability margin. Finally, the simulation confirms the effectiveness of the proposed oscillation suppression method.
KW - Permanent magnet synchronous generator
KW - impedance modeling
KW - oscillation suppression
KW - power control
KW - stability analysis
UR - http://www.scopus.com/inward/record.url?scp=85143824895&partnerID=8YFLogxK
U2 - 10.1109/PEAC56338.2022.9959449
DO - 10.1109/PEAC56338.2022.9959449
M3 - Conference contribution
AN - SCOPUS:85143824895
T3 - PEAC 2022 - 2022 IEEE International Power Electronics and Application Conference and Exposition, Proceedings
SP - 367
EP - 372
BT - PEAC 2022 - 2022 IEEE International Power Electronics and Application Conference and Exposition, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Power Electronics and Application Conference and Exposition, PEAC 2022
Y2 - 4 November 2022 through 7 November 2022
ER -