Engineering
Sergey Brindred; Minoo Akhtarian Zand
Abstract
The stability of the power system is essential to ensure its proper functioning. In recent years, Flexible AC Transmission Systems have been considered as one of the effective methods to improve the control ability of the power system and power transition constraints. One of the devices of the parallel ...
Read More
The stability of the power system is essential to ensure its proper functioning. In recent years, Flexible AC Transmission Systems have been considered as one of the effective methods to improve the control ability of the power system and power transition constraints. One of the devices of the parallel flexible alternating current transmission systems is STATCOM which can improve the power system dynamic and transient voltage stability. In this study, a new method for designing the damping controller was proposed to improve the transient power system stability in a single machine network connected to an infinite bus. The STATCOM controller problem in a wide area of the system function was considered as an optimization problem with multi-purpose objective function. Also, the Honey Bee Mating Optimization Algorithm was used to determine its parameters.
Physics
Sergey Brindred; Minoo Akhtarian Zand
Abstract
Based on the simulation results, steady-state tracking faults are improved. Control of indeterminate systems, despite the actuator and sensor bias, has been and remains a major challenge. Sensor fault can cause process fault. Among the cases where sensor bias is common, air velocity measurements and ...
Read More
Based on the simulation results, steady-state tracking faults are improved. Control of indeterminate systems, despite the actuator and sensor bias, has been and remains a major challenge. Sensor fault can cause process fault. Among the cases where sensor bias is common, air velocity measurements and gyroscope rates can be mentioned. Although considerable research efforts have previously focused on adapting the fault, the bias correction of the sensor appears to be relatively limited. However, the cause of several crashes was the sensor fault (due to radio altimeter fault, angle of attack sensor fault, airspeed speed sensor fault). Also, finding a way to fix the sensor bias problem is of the utmost importance. The direct model reference adaptive control (MRAC) method is used to control uncertain systems using controllers that are adapted to achieve a performance close to a reference model. However, these controllers maintain system stability and provide close tracking of the reference model response. In this paper, we intend to address the problem of unknown fault bias matching by adjusting the direct reference model adaptive control for state-feedback for state-tracking (SFST). Also, to obtain an asymptotic stable bias fault estimator, we use the Kalman filter to estimate the bias sensor fault. Based on the simulation results, steady-state tracking faults are improved.
)
)