TY - GEN
T1 - Energy based Sub-Synchronous Oscillation Assessment Tool For Type-4 Wind Farms
AU - Umar, Muhammad F.
AU - Abu-Rub, Omar
AU - Zamzam, Tassneem
AU - Qiblawey, Yazan
AU - Alassi, Abdulrahman
AU - Alnuweiri, Hussein
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Due to the rapid growth of renewable energy and its integration into the existing grid, the future power grid may face several stability challenges. Sub-synchronous oscillation (SSO) is one of the critical stability aspects that can disrupt the normal operation of the grid within a few grid cycles. Although the methods of SSO detection and its mitigation in conventional power systems are well defined, the interfacing of large number of power electronics-based devices at generation, transmission and distribution level has regenerated SSO issue introducing several new factors that can trigger different types of SSO. Thus, this paper proposes an energy based SSO assessment that analyzes the energy of the measured signal before and after the disturbance to effectively determine SSO in a timely manner. This approach is validated on both simpler and more complex power systems including single AC bus integrated with type-4 wind farm and standard IEEE 39 Bus network with type 4 wind farm, respectively. Various simulation case studies are presented to validate the effectiveness of proposed scheme in determining different types SSOs.
AB - Due to the rapid growth of renewable energy and its integration into the existing grid, the future power grid may face several stability challenges. Sub-synchronous oscillation (SSO) is one of the critical stability aspects that can disrupt the normal operation of the grid within a few grid cycles. Although the methods of SSO detection and its mitigation in conventional power systems are well defined, the interfacing of large number of power electronics-based devices at generation, transmission and distribution level has regenerated SSO issue introducing several new factors that can trigger different types of SSO. Thus, this paper proposes an energy based SSO assessment that analyzes the energy of the measured signal before and after the disturbance to effectively determine SSO in a timely manner. This approach is validated on both simpler and more complex power systems including single AC bus integrated with type-4 wind farm and standard IEEE 39 Bus network with type 4 wind farm, respectively. Various simulation case studies are presented to validate the effectiveness of proposed scheme in determining different types SSOs.
KW - power system stability
KW - sub-synchronous control interactions
KW - sub-synchronous oscillations
KW - type-4 wind farm
UR - https://www.scopus.com/pages/publications/105024708435
U2 - 10.1109/IECON58223.2025.11221595
DO - 10.1109/IECON58223.2025.11221595
M3 - Conference contribution
AN - SCOPUS:105024708435
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Y2 - 14 October 2025 through 17 October 2025
ER -