Multi-Agent Distributed Method For Dynamic Power System Rebalancing

Global efforts aim at utilizing the available information technology in order to enhance the power grid with resilience properties, precise accounting and new services. Towards this end, we provide methods to support an adaptive power grid and study the relative changes in supply and/or demand while in a quasi-steady state. Acknowledging that the absolute amount of the power demand/supply is not always the limiting factor, the proposed algorithm focuses on the deviations in the generated and/or demanded resources, as well as the location of these changes in the grid. Through our experimental evaluation study we show that the algorithm leads to a faster reconvergence to a new steady state operating point when compared to convergence from initial conditions after changes complete. We also show that changes can be resolved in a distributed and local manner, needing only limited and fast communication with nodes that are far from the locus of change.