TY - GEN
T1 - MIMO-MPC Based Coordinated Load Frequency Control Considering the SOC of Battery and EV
AU - Fu, Kun
AU - Hamacher, Thomas
AU - Zhao, Haoran
AU - Terzija, Vladmir
AU - Perić, Vedran S.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the rising integration of renewable energy sources, modern microgrids face the issue of decreasing inertia, rendering them more vulnerable against active power imbalances. Although numerous studies have aimed to address this issue by combining various power sources such as turbine generator, battery and electric vehicle (EV) fleet, the development of a coordinated controller remains a challenging task. In this regard, this study proposes a multi-input multi-output model predictive control-based approach to satisfy the load frequency control requirements, fully exploit the flexibility of EV fleet, and meet the state-of-charge demands of both the battery and EV fleet. The effectiveness of the proposed controller has been demonstrated through simulation results.
AB - With the rising integration of renewable energy sources, modern microgrids face the issue of decreasing inertia, rendering them more vulnerable against active power imbalances. Although numerous studies have aimed to address this issue by combining various power sources such as turbine generator, battery and electric vehicle (EV) fleet, the development of a coordinated controller remains a challenging task. In this regard, this study proposes a multi-input multi-output model predictive control-based approach to satisfy the load frequency control requirements, fully exploit the flexibility of EV fleet, and meet the state-of-charge demands of both the battery and EV fleet. The effectiveness of the proposed controller has been demonstrated through simulation results.
KW - EV
KW - SOC
KW - battery
KW - coordinated controller
KW - flexibility
KW - load frequency control
KW - model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85180403038&partnerID=8YFLogxK
U2 - 10.1109/PowerCon58120.2023.10330929
DO - 10.1109/PowerCon58120.2023.10330929
M3 - Conference contribution
AN - SCOPUS:85180403038
T3 - Proceedings - 2023 International Conference on Power System Technology: Technological Advancements for the Construction of New Power System, PowerCon 2023
BT - Proceedings - 2023 International Conference on Power System Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Power System Technology, PowerCon 2023
Y2 - 21 September 2023 through 22 September 2023
ER -
