Mehdi Mahdavian

Analysis and Design of a Linear Quadratic Regulator Control for Static Synchronous Compensator

STATCOM control can improve the transmission capacity considerably and can thus enhance the transient stability margin of the power system. In this paper, an optimal control method based on linear quadratic regulator (LQR) control design for transient dynamic performance of STATCOM. The dynamic analysis is verified by transfer function simulation using Matlab and time domain simulation of the open-loop and close-loop system.

Damping Power System Oscillations in Single-Machine Infinite-Bus Power System Using a STATCOM

The aim of this paper is dynamic modeling and analysis of STATCOM for a single-machine infinite-bus (SMIB) power system. Also the study the applicability of PID type in dynamic performance enhancement with eigenvalue analysis is shown. Non-linear and linear models of a single machine have been derived. The STATCOM is modeled as a reactive current source with a time delay. A comparative study for two control inputs, one in the speed loop and the other in the voltage loop, for STATCOM controller using eigenvalues analysis is shown.

Modeling and damping controller design for static synchronous compensator

A STATCOM can be used for voltage regulation in a power system, having as an ultimate goal the increase in transmittable power, and improvements of steady-state transmission characteristics and of the overall stability of the system. In this paper a model of a SMIB with STATCOM which is suitable for both steady state analysis and dynamic stability analysis systems is developed. A damping controller is also designed for the STATCOM using root locus methods.

Modeling and dynamic analysis of a STATCOM for system damping enhancement

A static synchronous compensator (STATCOM) control is presented to enhance the damping of the power system. The aim of this paper is dynamic modeling and analysis of STATCOM for a single-machine infinite-bus (SMIB) power system. Also the applicability of PID type control in dynamic performance enhancement with eigenvalue analysis is studied and shown to be feasible. The model is then used to investigate the damping improvement of a SMIB and the results obtained are systematically described.

Improve power quality using static synchronous compensator with fuzzy logic controller

This paper presents the result of the simulation of synchronous static compensator (STATCOM) with fuzzy logic controller on a three phase power system. The behavior of this system in order to compensate the reactive power and harmonics will be described. The fuzzy logic controller does not require a mathematical model of the system and this is a big advantage to use this controller instead of conventional PI controllers. Furthermore, designing and implementation of this controller on the cheap microcontroller is easier than the conventional PI controllers. In this method, the compensation method is based on sensing the line current only an approach different from conventional methods, which require harmonics or reactive volt-ampere requirement of the load. PWM pattern generation is based on carrier less hysteresis based current control to obtain the switching signals. At the end, the result of simulation with MATLB Simulink software has been presented.

Improvement of dynamic behavior and system stability by using STATCOM

Static synchronous compensator (STATCOM) controls are known to enhance damping of a power system. This paper investigates the effect of the STATCOM on small signal power system stability in a single-machine infinite-system (SMIB). Non-linear and linear models of a single machine have been derived. The STATCOM is modeled as the voltage source converter behind a step down transformer by a first order differential equation. Finally, the role STATCOM played in enlarging transmission capacity and improving transient stability is showed by simulation results and parameters variation on system response are discussed.

Effect of STATCOM on enhancing power system dynamic stability

This paper investigates the effect of the static synchronous compensator (STATCOM) on small signal power system stability in a single-machine infinite-system (SMIB). Non-linear and linear models of a single machine have been derived. The STATCOM is modeled as the voltage source converter behind a step down transformer by a first order differential equation. Finally, the role STATCOM played in enlarging transmission capacity and improving transient stability is showed by simulation results and parameters variation on system response are discussed.

Model predictive control to improve power system oscillations of SMIB with fuzzy logic controller

In this paper, model predictive control and two methods of fuzzy logic control is used to improve the oscillations of a single machine infinite bus (SMIB) power system, equipped with UPFC. The FLC design by choosing the prepared parameters based on our knowledge of system operation. The MPC has two important functions. First, to predict based on model and second, to assign optimal control inputs for reaching desired control goals.

Power system dynamic performance improvement with SVC controller

In this paper, analysis and simulation of SVC controller have been investigated to improve the dynamic stability of power systems. Eigenvalues calculated by linear system models, the impact and changes the controller parameters on the dynamic behavior of the system will be study. Finally, simulation results show that the proposed control scheme provides enhances power system stability and good damping of electromechanical modes of oscillations.

Effects of TCSC on damping power system oscillations

A TCSC is one of the FACTS devices that can provide fast-acting controls of power on the long ac transmission line over wide range. This paper investigates the effects of the TCSC on damping power system oscillations. In this study, TCSC is represented by its fundamental frequency impedance. For improving the system damping, a supplementary damping controller is considered. Finally, the simulation results of syste-m dynamic performance response for system parameters variation is achieved and discussed.