Power System Stabilizer Analysis based on Simple Linear Regression and Path Analysis

This paper proposed a simple sequence method for optimizing Power System Stabilizer (PSS) parameters for improving stability in Single Machine Infinite Bus (SMIB). The proposed sequence is obtained from Simple Linear Regression (SLR) Analysis and Path Analysis. The main contribution of this work is to make the system robust in the fastest method by knowing which PSS parameters that can fix in advance if a sudden disturbance happens. The analysis is achieved by giving the strength and reliability of the relationship pattern between input and output variables. There are four important input parameters (namely, Kpss, Tw, T1 and T2) and four affected output parameters (namely, maximum overshoot (OS), settling time (Ts), rise time (Tr) and steady-state error (ess) for the PSS optimization process. However, there is no information in the literature on how the input affects the output and on how the optimization sequence of the input parameters affects the outcome of the output. Thus, this paper aims to tackle this issue by proposing the best sequence obtained using SLR Analysis and Path Analysis. The results from the simulation show that the proposed sequence, which is Kpss→T2→T1→Tw can effectively minimize the output parameters within a short period.