This study applies a neural-network-based optimal TCSC controller for damping oscillations. Optimal neural network controller is related to model-reference adaptive control, the network controller is developed based on the recursive “pseudo-linear regression”. Problem statement: The optimal NN controller is designed to damp out the low frequency local and inter-area oscillations of the large po...

Electromechanical oscillations in a power system often exhibit poor damping when the power transfer over a corridor is high relative to the transmission strength. Traditional approaches to aid the damping of power system oscillations include the use of Power System Stabilizers (PSS). Power system stabilizers are used to generate supplementary control signals for the excitation system in order t...

This paper concerns the Optimal Power Flow [OPF] in multi machine Power System with UPFC using Genetic Algorithm [GA]. The objective is to minimize the cost of the power system, to enhance the power flow in transmission lines and to maintain the voltages at the buses using UPFC. Using the proposed method, the optimal cost and real power losses of the power system with UPFC is achieved by develo...

Hybrid Event-B, initially introduced for single machines to add continuously varying behaviour to discrete change of state in Event-B, is extended to cater for multiple cooperating machines. Multiple machine working is mediated by INTERFACE and PROJECT constructs. The former encapsulates a set of variables, their invariants and initialisations, in a form that several machines can exploit simult...

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...

The hydro turbine dynamics have a considerable influence on the dynamic stability of power system. In the study of dynamic stability, the system is modeled by the linear differential equations (small  signal analysis). Small signal stability of power systems is needed in all conditions and only is dependent on the conditions of power system performance before commotion occurrence. This paper pr...