# Distributed Framework for Optimal Demand Distribution in Self-Balancing Microgrid

## TL;DR

This paper proposes a distributed control framework enabling buildings in a self-balancing microgrid to dynamically and cooperatively optimize their power demand, ensuring grid stability and efficient utilization of power capacity.

## Contribution

It introduces a novel distributed algorithm for demand distribution that converges quickly and maintains grid stability in self-balancing microgrids.

## Key findings

- The algorithm achieves faster convergence times.
- Buildings successfully coordinate to optimize power demand.
- Grid stability is maintained under various demand scenarios.

## Abstract

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.