TY - GEN
T1 - Model Predictive Frequency Control of Low Inertia Microgrids
AU - Tamrakar, Ujjwol
AU - Hansen, Timothy M.
AU - Tonkoski, Reinaldo
AU - Copp, David A.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - In isolated power systems with low rotational inertia, fast-frequency control strategies are required to maintain frequency stability. Furthermore, with limited resources in such isolated systems, the deployed control strategies have to provide the flexibility to handle operational constraints so the controller is optimal from a technical as well as an economical point-of-view. In this paper, a model predictive control (MPC) approach is proposed to maintain the frequency stability of these low inertia power systems, such as microgrids. Given a predictive model of the system, MPC computes control actions by recursively solving a finite-horizon, online optimization problem that satisfies peak power output and ramp-rate constraints. MATLAB/Simulink based simulations show the effectiveness of the controller to reduce frequency deviations and the rate-of-change-of-frequency (ROCOF) of the system. By proper selection of controller parameters, desired performance can be achieved while respecting the physical constraints on inverter peak power and/or ramp-rates.
AB - In isolated power systems with low rotational inertia, fast-frequency control strategies are required to maintain frequency stability. Furthermore, with limited resources in such isolated systems, the deployed control strategies have to provide the flexibility to handle operational constraints so the controller is optimal from a technical as well as an economical point-of-view. In this paper, a model predictive control (MPC) approach is proposed to maintain the frequency stability of these low inertia power systems, such as microgrids. Given a predictive model of the system, MPC computes control actions by recursively solving a finite-horizon, online optimization problem that satisfies peak power output and ramp-rate constraints. MATLAB/Simulink based simulations show the effectiveness of the controller to reduce frequency deviations and the rate-of-change-of-frequency (ROCOF) of the system. By proper selection of controller parameters, desired performance can be achieved while respecting the physical constraints on inverter peak power and/or ramp-rates.
KW - Fast frequency control
KW - frequency stability
KW - model predictive control
KW - virtual inertia
UR - http://www.scopus.com/inward/record.url?scp=85070647330&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781263
DO - 10.1109/ISIE.2019.8781263
M3 - Conference contribution
AN - SCOPUS:85070647330
T3 - IEEE International Symposium on Industrial Electronics
SP - 2111
EP - 2116
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 -