Tube-Based Model Predictive Control of Energy Storage Systems for Enhancing Transient Stability of Power Systems

In smart grids energy storage units are installed at different locations of the network. This paper proposes a method based on model predictive control (MPC) for enhancing the transient stability of power systems by controlling the charging and discharging state of superconducting magnetic energy storage (SMES) systems installed throughout power systems. To enhance the performance of the controller in presence of exogenous disturbances and modeling uncertainty a controller based on tube-based MPC is developed. The proposed method determines output active and reactive powers of SMES units at each time instance to improve the selected transient stability index defined based on the distance of the rotor angles of generators and the center of inertia of the power system. The simulation results demonstrate that the proposed method is able to enhance the transient stability of the system effectively.