This paper describes and validates transient stability and power flow model of a Unified Power Flow Controller (UPFC), and presents a detailed comparison of different controls strategies, proposing novel, efficient and simple controls for this controller. The proposed model accurately represents the behavior of the controller in quasi-steady state operating conditions, and hence is adequate for...

This paper presents the genetic optimization of the parameters of a fuzzy PI controller for UPFC( Unified Power flow controller) using an improved genetic algorithm to enhance the transient stability performance of power systems. The function based Takagi-Sugeno-Kang (TSK) fuzzy controller uses minimum number of rules(hvo rules) and generates the proportional action which by one-to-two inferenc...

A unified power flow controller (UPFC) based on the flying capacitor (FC) multilevel voltage-source converter (VSC) topology with phase-shifted sinusoidal pulse-width modulation (PWM) control is presented. This converter allows higher power handling, potentially lower power loss, lower harmonic distortion and hence less filtering requirements when compared with the typical two-level counterppar...

Main contribution of this work is improving transient stability by installing Flexible AC Transmission System (FACTS) in power systems. For do this, Unified Power Flow Controller (UPFC) has been selected. Also a novel structure has been suggested to improve classic Harmony Search algorithm and suggested improved Harmony Search (iHS) algorithm. This algorithm has been used to obtain UPFC paramet...

The loss minimization is a major role in Power System (PS) research. Transmission line losses in a PS can be reduced by Var compensation. After the establishment of power markets with transmission open access, the significance and use of Flexible AC Transmission Systems (FACTS) devices for manipulating line power flows to relieve congestion and maximize the overall grid operation have been incr...

The paper presents an investigation in to the effect of neural network predictive control of UPFC on the transient stability performance of a multimachine power system. The proposed controller consists of a neural network model of the test system. This model is used to predict the future control inputs using the damped Gauss-Newton method which employs ‘backtracking’ as the line search method f...

The Refined Bacterial Foraging Optimization (RBFA) algorithm is biologically inspired computation technique which is inspired on foraging behavior of E-coli bacteria and its improved version of basic Bacterial Foraging Algorithm (BFA). This paper illustrated how a proposed algorithm different from other social behavior algorithm for solving optimization problems especially in multi-objective ca...

This paper utilizes the application of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques to find the most appropriate locations of Unified Power Flow Controller (UPFC) with optimum cost of generation for loadability limit and minimum active power loss, while satisfying the power system constraints. Two objective functions are taken as the indexes of the system performance:...