Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model

Consensus is one of the most actively studied topics within the realm of multi-agent systems. It generally aims to drive flocks to achieve a common group objective. In this study, a Cucker-Smale model for consensus algorithm has been implemented to resolve the issue of flocking for power systems. By using this model, consensus can be achieved by randomly chosing the initial positions and velocities of the birds with a minimum number of iterations. Moreover, at the end the simulation results for 7 and 25 birds have been presented to confirm the convergence of the agent's average velocities and directions.