Optimal Location Of Facts Devices In Power System Using AI Tools

Abstract

newline Restructuring of power system is increasing at a fast pace, but the deregulated power systems are facing some issues like congestion management, available transfer capability, market price, transmission pricing, voltage collapse, Moreover, changes in system operating conditions like increase in load or any fault in the system affects the dynamic and transient stability of the system. Introduction of FACTS devices has thrown new opportunities to control power flow and maximizing the usable capacity of existing transmission lines. Various FACTS devices like Static Var Compensator (SVC), Thyristor Controlled Series Converter (TCSC), Unified Power Flow Controller (UPFC) and Static Compensator (STATCOM) are being effectively used for voltage and power control. Studies have proved that devices are capable of enhancing both steady state stability and dynamic stability. However, optimal location of these devices is very important for the full utilization of these devices as the cost of installation is very high. newlineThe problem of optimal location of FACTS devices has been extensively brainstormed and several strategies have been used and implemented. Conventional optimization methods, which have been used for solving the reactive power optimization, are linear Programming, nonlinear programming, mixed integer programming, decomposition method, etc. However, these conventional methods can only be lead to a local minimum and most of them cannot deal with integer problem. On the other, evolutionary algorithms are the computer based problem solving systems which are computational models of evolutionary process as key elements in design and implementation. Tabu Search (TS), Simulated (SA) Annealing, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are various techniques that can effectively optimize power system performance with single objective and multi-objectives. Optimal location of FACTS devices using these heuristic techniques has been discussed and implemented thoroughly.