TY - GEN
T1 - Modeling Hydro Power System Frequency Dynamics for Virtual Inertia Emulation
AU - Ingalalli, Aravind
AU - Tamrakar, Ujjwol
AU - Hansen, Timothy M.
AU - Tonkoski, Reinaldo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Under high renewable penetration, the reliability and resiliency of low-inertia microgrids depends on the system transient performance parameters, such as frequency nadirs and/or maximum rate-of-change-of-frequency (ROCOF). As such, mathematically tractable models are needed that can be used to analytically derive these performance parameters to facilitate control design. In this paper, model reduction techniques for a dynamic model of a hydro system (e.g., Routh-Padé and Schur approximation) are used to obtain reduced order models to ensure the transient performance indicators are properly captured. The analytically derived transient performance parameters are then empirically verified using a MATLAB/Simulink test environment. The accuracy of these transient parameters will have a critical role in determining the reliability of microgrids and designing controllers for dispatching fast-frequency services.
AB - Under high renewable penetration, the reliability and resiliency of low-inertia microgrids depends on the system transient performance parameters, such as frequency nadirs and/or maximum rate-of-change-of-frequency (ROCOF). As such, mathematically tractable models are needed that can be used to analytically derive these performance parameters to facilitate control design. In this paper, model reduction techniques for a dynamic model of a hydro system (e.g., Routh-Padé and Schur approximation) are used to obtain reduced order models to ensure the transient performance indicators are properly captured. The analytically derived transient performance parameters are then empirically verified using a MATLAB/Simulink test environment. The accuracy of these transient parameters will have a critical role in determining the reliability of microgrids and designing controllers for dispatching fast-frequency services.
KW - Fast-frequency control
KW - frequency stability
KW - model reduction
KW - virtual inertia
UR - http://www.scopus.com/inward/record.url?scp=85070581174&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781107
DO - 10.1109/ISIE.2019.8781107
M3 - Conference contribution
AN - SCOPUS:85070581174
T3 - IEEE International Symposium on Industrial Electronics
SP - 2565
EP - 2570
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Y2 - 12 June 2019 through 14 June 2019
ER -
