Coordinated day-ahead dispatch of multiple power distribution grids hosting stochastic resources: An ADMM-based framework

This work presents an optimization framework to aggregate the power and energy flexibilities in interconnected distribution systems. The aggregation is used compute day-ahead dispatch plans of multiple grids operating at different voltage levels. Specifically, proposed optimizes plan upstream medium (MV) grid accounting for flexibility offered by downstream low (LV) knowledge uncertainties stochastic resources. considers grid, i.e., operational limits on nodal voltages, lines, transformer capacity using a linearized model, controllable resources' constraints. dispatching problem formulated as stochastic-optimization scheme considering uncertainty generation demands imposed grid. solved distributed method relying Alternating Direction Method Multipliers (ADMM) that splits main into aggregator (solved MV-grid level) several local problems MV-connected-controllable-resources LV-grid levels). use enables decentralized computation where centralized agnostic about parameters/models participating resources grids. validated CIGRE medium- low-voltage networks hosting heterogeneous