Fuzzy logic PID-based SMES controller design using Bee Colony Optimization for stabilization of inter-area oscillation

This paper proposes a design of fuzzy logic based-proportional-integral-derivative (FLPID) controller of superconducting magnetic energy storage (SMES) by a bee colony optimization (BCO) for stabilization of inter-area oscillation in an interconnected power system. Conventionally, the scale factors, membership functions and control rules of FLPID are obtained by trial and error method or experiences of designers. To tackle this problem, the BCO is applied to simultaneously tune all control parameters of FLPID controller based on the minimization of the integral of time-multiplied absolute error of the generators speed difference between any two areas. Simulation results in a two-area four-machine power system show the superior stabilizing effect of the SMES with the proposed optimal FLPID controller in comparison with the SMES with conventional FLPID controller.