TY - GEN
T1 - Unified Control of Voltage, Frequency and Angle in Electrical Power Systems
T2 - 63rd IEEE Conference on Decision and Control, CDC 2024
AU - Chen, Yijun
AU - Shi, Kanghong
AU - Petersen, Ian R.
AU - Ratnam, Elizabeth L.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper proposes a unified methodology for voltage regulation, frequency synchronization, and rotor angle control in power transmission systems considering a one-axis generator model with time-varying voltages. First, we formulate an output consensus problem with a passivity and negativeimaginary (NI) based control framework. We establish output consensus results for both networked passive systems and networked NI systems. Next, we apply the output consensus problem by controlling large-scale batteries co-located with synchronous generators that have real-time voltage phasor measurements. By controlling the battery storage systems so as to dispatch real and reactive power, we enable simultaneous control of voltage, frequency, and power angle differences across a transmission network. Validation through numerical simulations on a four-area transmission network confirms the robustness of our unified control framework.
AB - This paper proposes a unified methodology for voltage regulation, frequency synchronization, and rotor angle control in power transmission systems considering a one-axis generator model with time-varying voltages. First, we formulate an output consensus problem with a passivity and negativeimaginary (NI) based control framework. We establish output consensus results for both networked passive systems and networked NI systems. Next, we apply the output consensus problem by controlling large-scale batteries co-located with synchronous generators that have real-time voltage phasor measurements. By controlling the battery storage systems so as to dispatch real and reactive power, we enable simultaneous control of voltage, frequency, and power angle differences across a transmission network. Validation through numerical simulations on a four-area transmission network confirms the robustness of our unified control framework.
UR - https://www.scopus.com/pages/publications/86000552148
U2 - 10.1109/CDC56724.2024.10886814
DO - 10.1109/CDC56724.2024.10886814
M3 - Conference Paper
AN - SCOPUS:86000552148
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5783
EP - 5788
BT - 2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 December 2024 through 19 December 2024
ER -