Coordination Optimization of PSS Parameters based on Polymorphic Bacterial Chemotaxis Algorithm

In terms of damping low frequency oscillation, power system stabilizer(PSS) plays a very key role. However, in terms of PSS capability exploitation, it is quite important to select the suitable parameters assignment. Different from traditional optimization algorithms with eigenvalue analysis based and with system damping ratio as the aim function, in this paper a new PSS parameters method based on the Polymorphic Bacterial Chemotaxis(PBC) algorithm is presented for PSS parameters optimization. According to the time multiplied absolute error integral criterion (ITAE criteria), this paper chooses the ability of tracking a given value with minimum error of system output as the objective function. Thus the whole process of the disturbed system is considered. Finally, Eigenvalue analysis and nonlinear time-domain simulation are conducted to verify the feasibility and effectiveness of the proposed method.