TY - JOUR
T1 - Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery
AU - Yildirim, Burak
AU - Gheisarnejad Chirani, Meysam
AU - Mohammadzadeh, Ardashir
AU - Khooban, Mohammad Hassan
PY - 2023/11
Y1 - 2023/11
N2 - Renewable energy sources (RES)-generated electricity is increasing at a fast pace and is becoming more prevalent in microgrids (MGs). System inertia is much decreased due to the fact that MGs are mostly powered by RES rather than synchronous generators. As a result, system stability suffers, which is especially problematic with MGs. A suitable solution for this problem is an energy storage system and an appropriate inertial control technique. Redox flow batteries (RFBs) have an unusually long charge-discharge life cycle and a fast reaction time, which allows them to reduce oscillations in the power system when there is a sudden disturbance in the power system. This paper suggests a unique concept for VIC based on RFB in an isolated MG, which emulates the primary frequency control, virtual inertia, and damping all at once. In addition to the VIC concept, we suggest a novel nonlinear model predictive control (NMPC) method for MG secondary control. The NMPC utilizes non-integer order calculus and interval type-3 (IT3) fuzzy logic systems (FLSs). Finally, OPAL-RT-based real-time hardware-in-the-loop (HIL) simulation results are used to examine the validity and applicability of the suggested techniques in low inertia islanded MG.
AB - Renewable energy sources (RES)-generated electricity is increasing at a fast pace and is becoming more prevalent in microgrids (MGs). System inertia is much decreased due to the fact that MGs are mostly powered by RES rather than synchronous generators. As a result, system stability suffers, which is especially problematic with MGs. A suitable solution for this problem is an energy storage system and an appropriate inertial control technique. Redox flow batteries (RFBs) have an unusually long charge-discharge life cycle and a fast reaction time, which allows them to reduce oscillations in the power system when there is a sudden disturbance in the power system. This paper suggests a unique concept for VIC based on RFB in an isolated MG, which emulates the primary frequency control, virtual inertia, and damping all at once. In addition to the VIC concept, we suggest a novel nonlinear model predictive control (NMPC) method for MG secondary control. The NMPC utilizes non-integer order calculus and interval type-3 (IT3) fuzzy logic systems (FLSs). Finally, OPAL-RT-based real-time hardware-in-the-loop (HIL) simulation results are used to examine the validity and applicability of the suggested techniques in low inertia islanded MG.
KW - Interval type-3 fuzzy logic system
KW - Load frequency control
KW - Nonlinear model-based predictive control
KW - Redox flow batteries
U2 - 10.1016/j.est.2023.108190
DO - 10.1016/j.est.2023.108190
M3 - Journal article
SN - 2352-152X
VL - 71
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 108190
ER -