Location Of TCSC Research Articles

Determination of optimal location of TCSC and STATCOM for congestion management in deregulated power system

In deregulated power system, congestion management is a major problem due to operational constraints. Flexible AC transmission systems (FACTS) devices can be a choice to control the power flow in congested lines. This paper explores the use of two popular FACTS devices, TCSC and STATCOM for power flow control in electrical network and their capability to decongest the network. It suggests the optimal location of TCSC and STATCOM individually to relieve congestion with minimum power losses, voltage regulation and cost of the device. The proposed method has been verified on IEEE-14 bus system for its effectiveness. Simulation work is carried out in MATLAB software.

Congestion Management by Selecting Best Location of TCSC in Multimachine Power System

Congestion Management by Selecting Best Location of TCSC in Multimachine Power System

Optimal Placement of TCSC for Congestion Management using Modified Particle Swarm Optimization

In a competitive power market, the task of an independent system operator (ISO) is to ensure full dispatches of the contracted power are carried out reliably. However, if it threatens the system security then ISO makes decision on the re-dispatch of the contracted power i.e., Congestion Management (CM). This paper proposes an optimal congestion management approach in a deregulated electricity market with optimal location of TCSC under Combined Economic Emission Dispatch Environment (CEED) using Particle Swarm optimization with Time Varying Acceleration Co-efficient (PSO-TVAC). Sensitivity factors are used to find the optimal location TCSC. After placing TCSC the investment cost of TCSC and generator rescheduling cost is minimized using Particle Swarm Optimization (PSO) and PSO-TVAC. Numerical results on test system, IEEE 30 bus and IEEE 118 bus systems are presented for illustration purpose and the results are compared with Particle swarm optimization (PSO) in terms of solution quality. The comprehensive experimental results prove that the PSOTVAC is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.

Optimal Location of FACTS Devices for Congestion Management in Deregulated Power Systems

ABSTRACT In the emerging deregulated electric power market, congestion management becomes extremely important and it can impose barrier to electric power trading. There are t w o types of congestion management methodologies to relieve congestion in transmission lines. One is non-cost free methods and another is cost-free methods, among them later method relieves the congestion technically whereas the former is related more with the economics. In this paper congestion is relieved using cost free method. Among the various cost free methods, use of FACTS devices method is considered in this paper. The optimal location of TCSC and UPFC to relieve congestion in the network is proposed. In congestion management, the objective function is nonlinear hence for solving this function genetic algorithm (GA) technique is used. The above method is tested on IEEE 57-bus system and it can be readily extended to any practical systems.

Optimal Number and Location of TCSC and Loadability Enhancement in Deregulated Electricity Markets Using MINLP

This paper proposes a new method of optimal number and location of TCSC using mixed integer non-linear programming approach in the deregulated electricity markets. Optimal number and location of TCSC controller can effectively enhance system loadability and their placement is a crucial issue due to their high cost. Since, in the competitive electricity environment more and more transactions are negotiated, which can compromise the system security. Therefore, it has become essential to determine secure transactions occurring in the new environment for better planning and management. The system loadability has been determined in a hybrid market model utilizing the secure transaction matrix. The proposed technique has been tested on IEEE 24-bus reliability test system (RTS).