This paper describes a new relaying algorithm for the protection of transmission lines with a Thyristor Controlled Series Compensator (TCSC). The algorithm is based on the pattern of traveling waves generated during a fault event. Several tools like modal analysis, the discrete wavelet transform and a probabilistic neural network trained to work with the energy contained in the wavelet transfor...

In a deregulated power systems environment, congestion management is one of the technical problem needs to maintain a system as stable condition. One of the objective functions in congestion management is N-1 contingency analysis. Using N-1 contingency analysis find out the worst line outage and analysis that line, maintain the whole system as stable after the line outage. Two types of Methodol...

The effects of shunt compensation on power system transmission stability and modern approach of the reactive power control scheme have been investigated in this paper. Reactive power compensation is realized in shunt connection with two components: thyristor controlled reactor (TCR) and thyristor switched capacitor (TSC). A special attention has been given in the following paragraphs to a moder...

In this paper, a novel method using Bees Algorithm is proposed to determine the optimal allocation of FACTS devices for maximizing the Available Transfer Capability (ATC) of power transactions between source and sink areas in the deregulated power system. The algorithm simultaneously searches the FACTS location, FACTS parameters and FACTS types. Two types of FACTS are simulated in this study na...

Congestion management is one of the technical challenges in a Deregulated power system environment. Two types of Methodologies used in congestion Management are non-cost free methods and cost free methods. In this research work congestion is relieved by using cost-free methods considering FACTS Devices such as TCSC(Thyristor controlled series Compensator) and UPFC (Unified Power Flow Controller...

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...

This paper deals with the simulation of eight bus system having fixed capacitor and thyristor controlled reactor. The system is modeled and simulated using MATLAB. The simulation results are presented. The power and control circuits are simulated. The current drawn by the TCR varies with the variation in the firing angle. The simulation results are compared with the theoretical results.

The usage of renewable energy sources in the power sector has increased day by to preserve non-renewable resources from extinction. growth earnings electricity market also become a critical part as generated integrated system is fluctuating nature. For renewable-associated system, abundant during low-demand hours. These excess units are available due presence like solar, wind, etc. So, better w...