Energy management in a standalone DC prosumer-only microgrid

The continuous adoption of renewable energy sources has led to the influx of prosumers who intermittently feed electricity back to the grid. This contributes additional uncertainty to grid planning and management. In this paper an energy management model for a prosumer microgrid is proposed and tested on a six-bus DC microgrid that interconnects prosumers. Particularly, the model determines the optimal schedules for power to be sourced from or sent to willing customers. Gekko - an optimization tool embedded in Python was used to solve the proposed model. Results from analyses suggest that for grids interconnecting prosumers with similar import/export profiles, wide-spread distribution of grid resources like batteries and flexible loads makes for lower voltage drops across the buses of the grid.

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