Simultaneous Design of Power System Stabilizer and Static Synchronous Compensator Controller Parameters Using Bee Colony Algorithm

To improve the stability of the power system, the design of a PSS and STATCOM controller parameters using ABC is presented as an optimization problem in this paper. The ABC is a collective intelligence based on the optimization algorithm and inspired by the bee feeding behavior in finding food. Fast convergence and high accuracy are the capabilities of this algorithm. The effectiveness and robustness of the bee colony algorithm are shown by nonlinear simulation of a two-area power system consisting of four machines and compared with the particle swarm optimization method. Simultaneous design of power system controller and stabilizer parameters with bee cloning algorithm over non-optimized mode increases oscillation damping speed and improves power system stability. The simulation results are presented using MATLAB software for different system conditions.