Akademik Veri Yönetim Sistemi
Comprehensive Metaheuristics: Algorithms and Applications, Elsevier, ss.325-346, 2023
In this chapter, we present the procedure for optimum tuning of a power system stabilizer (PSS) in an interconnected multimachine power system using a nature-inspired metaheuristic optimizer called reptile search algorithm (RSA). In this regard, we employ the Western System Coordinating Council (WSCC) three-machine, nine-bus power system as a highly complex and real-world engineering design problem. In this way, we aim to showcase the powerful capability of a metaheuristic method to increase the performance of such a complex real-world system. Therefore, we also provide a detailed Simulink model of this highly challenging, nonlinear multimachine power system. Then, we analyze the system without PSS and determine the optimal PSS locations. We use the integral of time multiplied absolute error (ITAE) performance index to convert the PSS design into an optimization task. We also provide comparative assessments using different metaheuristic algorithms to present the differences between metaheuristic structures in terms of dealing with such a challenging task and, more importantly, to provide a pathway for future works related to PSS design for complex, interconnected multimachine power systems. Thus, we perform statistical testing and compute objective function value, computational time, and convergence rate of the studied methods. We also use the Wilcoxon signed-rank test to rank the methods. Then, we analyze the system for both linear and nonlinear models of the plant, which shows the greater capability of the proposed RSA-based PSS design method for an interconnected multimachine power system.