The problem of damping low frequency oscillations in the range of 0.2 – 3 Hz observed in power systems has been the major concern these days. Power System Stabilizers (PSS) are commonly used to damp these low frequency oscillations. The parameters of the PSS (gain, phase lead time constant) are tuned by considering the single machine connected to infinite bus system (SMIB). Tuning of these para...

A Honey Bee Mating Optimization (HBMO) technique is proposed for the optimal tuning of the Power System Stabilizer (PSS) in this paper. The design problem of robustly selecting PSS parameters is formulated as an optimization problem according to the time domain-based objective function which is solved by the HBMO technique that has a strong ability to find the most optimistic results. To achiev...

The main objective of this paper is to investigate the enhancement of damping the power system oscillation via coordinated design of the Power System Stabilizer (PSS) and STATic COMpensator (STATCOM) controllers. The design problem of PSS and STATCOM controllers are formulated as an optimization problem. Using the developed linearized model of a power system equipped with STATCOM-based stabiliz...

The objective of this paper is to design a nonlinear robust controller for the multimachine power system. We present in this study a sliding mode control method without the reaching phase by modifying the terms of the output tracking error combined with the fuzzy Proportional Integral Derivative based on Power System Stabilizer (FPID-PSS). The Mamdani fuzzy inference is used in this study to fi...

A Power System Stabilizer (PSS) is the most cost effective approach of increase the system positive damping, improve the steady-state stability margin, and suppress the low-frequency oscillation of the power system. A PSS has to perform well under operating point variations. Some of the major issues in the application of PSS are the choice of the input signal, the location of the PSS, the contr...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

Abstract—Power System Stabilizer (PSS) are added to excitation system to enhance the damping of electric power system during low frequency oscillations. Design of decentralized PSS for 4 machines with 10 buses using fast output sampling feedback is proposed. The nonlinear model of multi-machine system is linearized and linear state space model is obtained. A stabilizing state feedback gain is o...