Real-time Subsynchronous Control Interaction Monitoring Using Improved Intrinsic Time-scale Decomposition

In recent years, subsynchronous control interaction (SSCI) has frequently taken place in renewable-connected power systems. To counter this issue, utilities have been seeking tools for fast and accurate identification of SSCI events. The main challenges of SSCI monitoring are the time-varying nature and uncertain modes of SSCI events. Accordingly, this paper presents a simple but effective method that takes advantage of intrinsic time-scale decomposition (ITD). The main purpose is to improve the accuracy and robustness of ITD by incorporating the least-squares method. Results show that the proposed method strikes a good balance between dynamic performance and estimation accuracy. More importantly, the method does not require any prior information, and its performance is therefore not affected by the frequency constitution of the SSCI. Comprehensive comparative studies are conducted to demonstrate the usefulness of the method through synthetic signals, electromagnetic temporary program (EMTP) simulations, and field-recorded SSCI data. Finally, real-time simulation tests are conducted to show the feasibility of the method for real-time monitoring.

Automated summary

In recent years, subsynchronous control interaction (SSCI) has become a frequent problem in renewable-connected power systems. This paper proposes a simple and effective method that utilizes intrinsic time-scale decomposition (ITD) to improve the accuracy and robustness of ITD for SSCI monitoring. The method incorporates the least-squares method and achieves a good balance between dynamic performance and estimation accuracy. Comprehensive comparative studies using synthetic signals, EMTP simulations, and field-recorded SSCI data demonstrate the usefulness of the method, and real-time simulation tests show its feasibility for real-time monitoring.