In this work, we present a novel consensus-based secondary control scheme for current sharing and voltage balancing in dc microgrids (DCmGs), composed of distributed generation units (DGUs), dynamic RLC lines, and nonlinear ZIE (constant impedance, constant current, and exponential) loads. Situated atop a primary voltage control layer, our secondary controllers have a distributed structure and utilize information exchanged over a communication network to compute necessary control actions. Besides showing that the desired objectives are always attained in steady state, we deduce sufficient conditions for the existence and uniqueness of an equilibrium point for constant power loads-E loads with zero exponent. Our control design hinges only on the local parameters of the generation units, facilitating plug-and-play operations. We provide a voltage stability analysis and illustrate the performance and robustness of our designs via simulations. All results hold for arbitrary, albeit connected, mG and communication network topologies.

Consensus-Based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads

Ferrari Trecate Giancarlo
2022-01-01

Abstract

In this work, we present a novel consensus-based secondary control scheme for current sharing and voltage balancing in dc microgrids (DCmGs), composed of distributed generation units (DGUs), dynamic RLC lines, and nonlinear ZIE (constant impedance, constant current, and exponential) loads. Situated atop a primary voltage control layer, our secondary controllers have a distributed structure and utilize information exchanged over a communication network to compute necessary control actions. Besides showing that the desired objectives are always attained in steady state, we deduce sufficient conditions for the existence and uniqueness of an equilibrium point for constant power loads-E loads with zero exponent. Our control design hinges only on the local parameters of the generation units, facilitating plug-and-play operations. We provide a voltage stability analysis and illustrate the performance and robustness of our designs via simulations. All results hold for arbitrary, albeit connected, mG and communication network topologies.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1515217
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