Intelligent power system stabilizer design using adaptive fuzzy sliding mode controller

Local bifurcation and continuation of a non‐linear hydro‐turbine governing system in a single‐machine infinite‐bus power system

“…With the development of the large-scale power system and fast excitation system, the system damping is decreasing which leads to the low frequency oscillation phenomena [34]. The most effective and economic solution to increase the damping is installing a PSS which is a supplementary device installed on the excitation controller [35]. The excitation system (in Fig.…”

An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

“…The tuning guidelines and applications of PSS with various signals are thoroughly discussed in Larsen and Swann . The design and practical application of PSS on the Ontario Hydro station are given in Kundur et al Useful PSS design methods on the multi‐machine environment are presented in Huwer et al, Gupta et al, and Gomes et al A number of PSS design techniques like robust control techniques, sliding mode control techniques, fuzzy sliding mode control techniques, optimization methods using LQR, H ∞ techniques artificial intelligence techniques such as fuzzy logic and neuro‐fuzzy techniques, linear control techniques such as pole placement techniques, nonlinear control techniques such as feedback linearization and adaptive control techniques had been developed by various researchers from the last two decades. Though they performed well in stabilizing the system, design of PSS for the multi‐machine power system using conventional techniques under variable operating conditions is a complex process and hence consume much computational time.…”

Application of reinforcement learning for generating optimal control signal to the IPFC for damping of low-frequency oscillations

“…Note that in the real‐world applications, tuning of the multi‐band PSS is a very challenging task, and thus the CPSS has gained a major role in the existing power system oscillation damping controllers. The complexity of power system stability studies reveals the necessity for development of intelligent algorithms in order to accurately damp the LFOs . Farahani replaced AVR and PSS with an intelligent controller based on neural networks and artificial intelligence.…”

“…Stability of power systems is one of the most important aspects of the system operation, for example frequency and voltage should be maintained at their specific ranges in normal condition and during faults. 1 Power systems can be considered as large and interconnected systems with high degree of non-linearity. 2 Interconnection of different parts of the power system together imposes various kind of oscillations to the power system.…”

“…The complexity of power system stability studies reveals the necessity for development of intelligent algorithms in order to accurately damp the LFOs. 1,[11][12][13] Farahani 11 replaced AVR and PSS with an intelligent controller based on neural networks and artificial intelligence. Although this control method is robust and adaptive, its application in practice needs complex hardware which makes it unusable in the real-world usages.…”