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Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network Theory and Experimental Validation

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Document pages: 11 pages

Abstract: In this paper, we propose and experimentally validate a scheduling andcontrol framework for distributed energy resources (DERs) that achieves totrack a day-ahead dispatch plan of a distribution network hosting controllableand stochastic heterogeneous resources while respecting the local gridconstraints on nodal voltages and lines ampacities. The framework consists oftwo algorithmic layers. In the first one (day-ahead scheduling), we determinean aggregated dispatch plan. In the second layer (real-time control), adistributed model predictive control (MPC) determines the active and reactivepower set-points of the DERs so that their aggregated contribution tracks thedispatch plan while obeying to DERs operational constraints as well as thegrids ones. The proposed framework is experimentally validated on a real-scalemicrogrid that reproduces the network specifications of the CIGRE microgridbenchmark system.

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