This project aims to provide an end-to-end solution for the RAS design, study, and evaluation process.

The PNNL team is utilizing the parallel computing platform for steady state and dynamic simulations under massive contingencies and operating conditions to calculate more realistic settings of RAS systems in real-world environment.  In partnership with the power industry in WECC, the team is working to fully understand the current practice of RAS modeling for planning and operation and identify the technology gaps, and will develop algorithms to enhance the existing practice to determine the arming levels of RAS and finally develop use cases to demonstrate the benefits of adaptive RAS/SPS parameter settings, which can then be used to enable and validate preventive emergency controls.

The team is working closely with power industry including PacifiCorp, Peak Reliability, Idaho Power, WECC MVWG and take full advantage of PNNL’s parallel computing techniques around commercial software platforms (e.g., Siemens PTI PSS/E) to perform massive computations for full WECC network considering RAS models and real-time snapshots.

TRAST originates from the utility data analysis and evolves with the guidance of domain knowledge from power engineers. More importantly, the automatic/semi-automatic functionalities that are integrated in TRAST could significantly simplify and shorten the RAS design and study process. On the other hand, continuous improvement and validation could be realized based on the proposed evaluation methodology. Figure 2 provides an overview of data-driven analytical functionalities in TRAST.