This paper proposes decentralized improved synergetic excitation controllers (ISEC) for synchronous generators to enhance transient stability and obtain satisfactory voltage regulation performance of power systems. Each generator is considered as a subsystem, for which an ISEC is designed. According to the control objectives, a manifold, which is a linear combination of the deviation of generat...

The paper considers simultaneous placement and tuning of power system stabilizers for stabilization of power systems over a wide range of operating conditions using genetic algorithm. The power system operating at various conditions is considered as a finite set of plants. The problem of setting parameters of power system stabilizers is converted as a simple optimization problem which is solved...

In this article, a new observer-based nonlinear controller for excitation control of synchronous generator is presented. First, a nonlinear sliding mode observer for the synchronous machine damper currents is developed. Second, the existence of a control law for the complete seventh order model of a generator, which takes into account the stator dynamics as well as the damper effects, is proved...

In this paper a comparison of discrete time PID, PSS controllers is presented through small signal stability of power system comprising of one machine connected to infinite bus system. This comparison achieved by using a new approach of discretization which converts the S-domain model of analog controllers to a Z-domain model to enhance the damping of a single machine power system. The new meth...

Abstract: Artificial neural network (ANN) control of static compensator (STATCOM) to improve the damping of power systems is presented. The proposed control strategy is applied on a STATCOM attached to a single machine-infinite bus (SMIB) and a multi-machine power systems that include a superconducting generator (SCG). The proposed control method, ANN-STATCOM is designed based on proportional i...

This paper presents a methodology for implementing artificial neural network (ANN) observers in estimating and tracking synchronous generator parameters from time-domain online disturbance measurements. Data for training the neural network observers are obtained through off-line simulations of a synchronous generator operating in a one-machine-infinite-bus environment. Nominal values of paramet...

This article discusses the development of a Power System Stabilizer (PSS) utilizing Virus Particle Swarm Optimization Algorithm (VEPSO) to enhance power system stability. PSS is commonly used in industry suppress oscillations. The proposed algorithm was implemented on Single Machine Infinite Bus (SMIB) system, and controller coefficients were optimized using VEPSO. simulated under specific dist...

The investigation and determination of the impact of DFIG wind farms and their controllers on power system transient performance require power system simulation and analysis tools that incorporate both an accurate dynamic model of a DFIG wind turbine and a realistic representation of a power network [1]. This paper investigates the dynamic performance of DFIG wind turbines in multiple machine s...