State space modelling, analysis and optimization of microgrid droop controller

The concept of microgrid has become more relevant due to the increase in the use of distributed energy resources. However, the important factors which are to be considered are their ability to control the power flow and stability of the system. Droop control strategy requires no communication system and realizes the “plug and play” function between source and load. In this paper a state space model of such a system is developed based on small signal disturbances. Eigenvalue analysis of the system is also done and the parameters which determine the stability of the system are identified. The optimum values of these parameters are found out by increasing the stability of the system using particle swarm optimization (PSO) technique. The simulation is done by MATLAB coding and the results show that the values of the optimized parameters will improve the stability of the system by shifting the eigenvalues away from the imaginary axis as far as possible on the left half of s plane.