Distributed Framework for Optimal Demand Distribution in Self-Balancing Microgrid
This work addresses the problem of power overdrawing in microgrids for grid operators and building managers, but the contribution appears incremental given the lack of quantitative benchmarks.
The paper proposes a distributed framework for optimal demand distribution in self-balancing microgrids, enabling buildings to dynamically adjust power consumption to maintain grid stability. Simulation results demonstrate lower convergence time, though no specific numerical improvements are provided.
This study focusses on self-balancing microgrids to smartly utilize and prevent overdrawing of available power capacity of the grid. A distributed framework for automated distribution of optimal power demand is proposed, where all building in a microgrid dynamically and simultaneously adjusts their own power consumption to reach their individual optimal power demands while cooperatively striving to maintain the overall grid stable. Emphasis has been given to aspects of algorithm that yields lower time of convergence and is demonstrated through quantitative and qualitative analysis of simulation results.