Intelligent wide-area damping controller for static var compensator considering communication delays

This paper utilizes a static var compensator in coordination with an intelligent online controller, to enhance the oscillation damping of the power system at various operating conditions and communication delays. For system identification, a linear identifier is used that ensures a low computational burden and facilitates its real-time implementation. This identifier accurately estimates the system's local linear model using local measurements and continuously updates its parameters in real time to account for system's changing operational states. The learning rate of the identifier is also adaptively adjusted such that the stability of the learning algorithm and optimal speed of convergence are guaranteed. The location of the controller is selected based upon the controllability and bus voltage participation factors, and an effective feedback signal is obtained using the observability. An empirical expression has also been proposed to offset the effects of communication time delays caused due to use of wide-area signals. Time-domain simulations are performed on single- and multi-machine power systems to check the efficacy of the proposed intelligent controller. The performance of the controller is compared with the residue-based conventional controller and also with the recently proposed wide-area damping controller.

Automated summary

This paper presents the utilization of a static var compensator in coordination with an intelligent online controller to improve the oscillation damping of the power system under various operating conditions and communication delays. A linear identifier is used for system identification, ensuring low computational burden and real-time implementation. The location of the controller is selected based on controllability and bus voltage participation factors, and an empirical expression is proposed to offset the effects of communication time delays. Time-domain simulations on single- and multi-machine power systems validate the effectiveness of the proposed intelligent controller, compared to conventional and wide-area damping controllers.