Optimal Design of SMES and PSS for Power System Stability based on Ant Colony Optimization

In this paper, the ant colony optimization (ACO) technique is employed to precisely tune the parameters of a superconducting magnetic energy storage unit and power system stabilizer to damp the oscillations in a Single Machine Infinite Bus system during transient and disturbance events. In this regard, an objective function to minimize the integral time absolute error is developed and solved using the ACO. System performance is assessed through its frequency response and the machine's rotor angle along with the eigenvalue characteristic for each control combination scheme. Results reveal the effectiveness of the proposed controller.