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 ...

Robust performance controller design for duty-cycle controlled series resonant converter (SRC) is proposed in this paper. The uncertainties of the converter are analyzed with load variation and power circuit components tolerances are taken into consideration. Additionally, a nominal performance (NP) controller is designed. Closed-loop system is simulated with Orcad and simulation results of r...

The further integration of wind energy into electrical power systems poses operational challenges as the variability in wind power reduces transient stability. To guarantee a stable and secure power system operation, maximum allowable power ramps are defined in grid codes that transmission service operators (TSOs) specify. In this thesis it shall be investigated how a wind power system with ene...

The use of model-based predictive control in power converters has substantially increased recent years. This technique always needs a discrete system model to be implemented. There are several methods obtain model; this paper, all common examined from practical point view. Their precision, simplicity, and implementation requirements analyzed establish their advantages disadvantages. From analys...

In this paper, a neural network based predictive controller is designed for controlling the liquid level of the coupled tank system. The controlled process is a nonlinear system; therefore, a nonlinear prediction method can be a better match in a predictive control strategy. The neural network predictive controller that is discussed in this paper uses a neural network model of a nonlinear plant...

The untimed power failure is one of major issues confronting the successful commercialization of battery powered electric cars. So, an intelligent model predictive controller which adaptively schedules the load according to the predicted remaining charge of the Electric Vehicles(EV) battery saves the energy content of the battery and ensures the safe state of the Electric Vehicle. The most impo...