Parameter Optimization of Shunt FACTS Controllers for Power System Transient Stability Improvement

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. In continuous mode proportional controller is usually used. This paper investigates the performance of others controllers in continuous mode. Two additional controllers – PI and lead-lag, have been considered. Controller parameter values have been optimized for minimum settling time. This study shows that both PI and lead-lag controllers have good potential for improving critical clearing time. It also shows that properly selected controller parameter values can reduce settling time significantly. The obtained results are verified using non-linear time-domain simulation for both single-machine infinite-bus (SMIB) and multi-machine (10 machine 39 bus) case

Parameter Optimization of Shunt FACTS Controllers for Power System Transient Stability Improvement

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. In continuous mode proportional controller is usually used. This paper investigates the performance of others controllers in continuous mode. Two additional controllers – PI and lead-lag, have been considered. Controller parameter values have been optimized for minimum settling time. This study shows that both PI and lead-lag controllers have good potential for improving critical clearing time. It also shows that properly selected controller parameter values can reduce settling time significantly. The obtained results are verified using non-linear time-domain simulation for both single-machine infinite-bus (SMIB) and multi-machine (10 machine 39 bus) case

Parameter Optimization of Shunt FACTS Controllers for Power System Transient Stability Improvement

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. In continuous mode proportional controller is usually used. This paper investigates the performance of others controllers in continuous mode. Two additional controllers – PI and lead-lag, have been considered. Controller parameter values have been optimized for minimum settling time. This study shows that both PI and lead-lag controllers have good potential for improving critical clearing time. It also shows that properly selected controller parameter values can reduce settling time significantly. The obtained results are verified using non-linear time-domain simulation for both single-machine infinite-bus (SMIB) and multi-machine (10 machine 39 bus) case

Parameter Optimization of Shunt FACTS Controllers for Power System Transient Stability Improvement

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. In continuous mode proportional controller is usually used. This paper investigates the performance of others controllers in continuous mode. Two additional controllers – PI and lead-lag, have been considered. Controller parameter values have been optimized for minimum settling time. This study shows that both PI and lead-lag controllers have good potential for improving critical clearing time. It also shows that properly selected controller parameter values can reduce settling time significantly. The obtained results are verified using non-linear time-domain simulation for both single-machine infinite-bus (SMIB) and multi-machine (10 machine 39 bus) case

Parameter Optimization of Shunt FACTS Controllers for Power System Transient Stability Improvement

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. In continuous mode proportional controller is usually used. This paper investigates the performance of others controllers in continuous mode. Two additional controllers – PI and lead-lag, have been considered. Controller parameter values have been optimized for minimum settling time. This study shows that both PI and lead-lag controllers have good potential for improving critical clearing time. It also shows that properly selected controller parameter values can reduce settling time significantly. The obtained results are verified using non-linear time-domain simulation for both single-machine infinite-bus (SMIB) and multi-machine (10 machine 39 bus) case

On the Control Strategies of Shunt FACTS Devices for the Improvement of Transient Stability

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. This paper investigates the latter discontinuous then continuous control strategy in a view to improve angle and speed response. In continuous mode, it is found that proper selection of controller gain plays an important role on proportional controller performance. Nonlinear timedomain simulation with various ratings of SVC and STATCOM shows that controller gain-setting depends on FACTS device rating. Gain of the controller is optimized for minimum settling time and overshoot using Particle Swam Optimization (PSO) technique and results are verified using time-domain simulation

On the Control Strategies of Shunt FACTS Devices for the Improvement of Transient Stability

To enhance power system transient stability, shunt FACTS devices can be controlled in discontinuous mode or in a combination of discontinuous and continuous mode. This paper investigates the latter discontinuous then continuous control strategy in a view to improve angle and speed response. In continuous mode, it is found that proper selection of controller gain plays an important role on proportional controller performance. Nonlinear timedomain simulation with various ratings of SVC and STATCOM shows that controller gain-setting depends on FACTS device rating. Gain of the controller is optimized for minimum settling time and overshoot using Particle Swam Optimization (PSO) technique and results are verified using time-domain simulation