TY - GEN
T1 - Large signal stability analysis of a hybrid AC/DC microgrid with a cascaded control inverter
AU - Xu, Hongru
AU - Chen, Yan
AU - Keel, Brian
N1 - Funding Information:
This research was supported by Conservation and Renewable Energy Collaboratory (CREC): Salt River Project (SRP).
Publisher Copyright:
Copyright © 2018 ASME
PY - 2018
Y1 - 2018
N2 - The large signal stability analysis of a hybrid AC/DC microgrid based on a grid-connected inverter with cascaded control is discussed. The impacts of the connected inductor, capacitor, and the control parameters of the inverter on the DC link stability region are analyzed. To achieve these analyses, a dynamic model of the microgrid with the cascaded control inverter is first developed. A Lyapunov large-signal stability analysis tool is then applied to estimate the domain of attraction, which is the asymptotic stability region. Results show that DC side capacitor, the AC side grid filter, as well as the control gain, will have different influences on the stability regions of the DC link voltage. High fidelity simulations through PLECS are successfully applied to verify the asymptotic stability regions estimated from the Lyapunov large signal analysis method.
AB - The large signal stability analysis of a hybrid AC/DC microgrid based on a grid-connected inverter with cascaded control is discussed. The impacts of the connected inductor, capacitor, and the control parameters of the inverter on the DC link stability region are analyzed. To achieve these analyses, a dynamic model of the microgrid with the cascaded control inverter is first developed. A Lyapunov large-signal stability analysis tool is then applied to estimate the domain of attraction, which is the asymptotic stability region. Results show that DC side capacitor, the AC side grid filter, as well as the control gain, will have different influences on the stability regions of the DC link voltage. High fidelity simulations through PLECS are successfully applied to verify the asymptotic stability regions estimated from the Lyapunov large signal analysis method.
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U2 - 10.1115/DSCC2018-9163
DO - 10.1115/DSCC2018-9163
M3 - Conference contribution
AN - SCOPUS:85057310384
T3 - ASME 2018 Dynamic Systems and Control Conference, DSCC 2018
BT - Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2018 Dynamic Systems and Control Conference, DSCC 2018
Y2 - 30 September 2018 through 3 October 2018
ER -