TY - JOUR
T1 - Analysis and Mitigation of the Communication Delay Impacts on Wind Farm Central SSI Damping Controller
AU - Ghafouri, Mohsen
AU - Karaagac, Ulas
AU - Kocar, Ilhan
AU - Xu, Zhao
AU - Farantatos, Evangelos
N1 - Funding Information:
This work was supported in part by the Le Fonds de recherche du Québec–Nature et technologies (FRQNT) under Grant 2022-NC-300985, and in part by the Hong Kong Research Grant Council for the Research Project under Grant 25223118.
Publisher Copyright:
© 2013 IEEE.
PY - 2021
Y1 - 2021
N2 - The use of supplementary controllers for mitigating subsynchronous interaction (SSI) in series compensated DFIG-based wind farms is quite promising due to high effectiveness and low cost. Implementation of such a controller requires effective communications between individual turbines and the wind farm controller, where the control performance is very much affected by the communication delays involved. This paper delivers the first detailed analysis on the impact of communication delays on SSI damping controller performance. A novel algorithm is proposed to calculate the stability delay margin (SDM) of the closed-loop system based on Rekasius Substitution and Guardian Map Theorem with the advantage of reduced computational burden particularly for high-order systems. Based on the proposed algorithm, the impacts of wind farm operating conditions and turbine control parameters on the SDM are investigated. To strengthen the SSI damping controller performance against communication delays, a Smith predictor scheme is also developed. The effectiveness of the proposed delay analysis framework and Smith predictor scheme based delay immune controller is validated through Electromagnetic Transient (EMT) simulations on a realistic test system with multiple series capacitor compensated lines considering various operation conditions.
AB - The use of supplementary controllers for mitigating subsynchronous interaction (SSI) in series compensated DFIG-based wind farms is quite promising due to high effectiveness and low cost. Implementation of such a controller requires effective communications between individual turbines and the wind farm controller, where the control performance is very much affected by the communication delays involved. This paper delivers the first detailed analysis on the impact of communication delays on SSI damping controller performance. A novel algorithm is proposed to calculate the stability delay margin (SDM) of the closed-loop system based on Rekasius Substitution and Guardian Map Theorem with the advantage of reduced computational burden particularly for high-order systems. Based on the proposed algorithm, the impacts of wind farm operating conditions and turbine control parameters on the SDM are investigated. To strengthen the SSI damping controller performance against communication delays, a Smith predictor scheme is also developed. The effectiveness of the proposed delay analysis framework and Smith predictor scheme based delay immune controller is validated through Electromagnetic Transient (EMT) simulations on a realistic test system with multiple series capacitor compensated lines considering various operation conditions.
KW - Doubly-fed induction generator (DFIG)
KW - optimal control
KW - series capacitor compensation
KW - stability delay margin
KW - subsynchronous interaction (SSI)
UR - http://www.scopus.com/inward/record.url?scp=85110810902&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3096331
DO - 10.1109/ACCESS.2021.3096331
M3 - Journal article
AN - SCOPUS:85110810902
SN - 2169-3536
VL - 9
SP - 105641
EP - 105650
JO - IEEE Access
JF - IEEE Access
M1 - 9481133
ER -