A Diagnostics Tool for Risk-based Dynamic Security Assessment of Renewable Generation

Dynamic security assessment has been a challenging problem in power systems research with the increased penetration of renewable generation across the electricity grid. Risk-based methods for dynamic security assessment has been proposed to incorporate the uncertainty in the electricity grid. Risk-based methods require extensive time-domain simulations and generate large data sets containing both risk assessment and time domain simulation results. An architecture for a comprehensive user interactive contingency ranking and diagnostics tool for risk-based security assessment is proposed in this paper. This methodology provides a fast and robust approach for analyzing large time domain simulation and risk assessment results. The effectiveness of the tool has been illustrated for two different test systems.