Advances in Distribution System Time-Series Analysis for Studying DER Impacts presented by Matthew Reno

Distribution system analysis with ever increasing numbers of distributed energy resources (DER) requires new innovations in planning analysis tools to 1) Capture the time-varying and time-dependent aspects of the system, 2) Investigate the challenges of planning for future growth while maintaining or improving feeder performance with the influx of many new disruptive technologies such as DER and grid edge devices, and 3) Understand the complex interaction and control of new DER with diverse utility operation strategies. Quasi-static time-series (QSTS) analysis has received increasing interest from the power system analysis community as it promises refined insight into power system operating and planning concerns, especially for large numbers of distributed energy resources (DERs). Unfortunately, detailed QSTS analysis is also currently computationally intensive as yearlong simulations may take days to complete using standard computing platforms available to typical utilities. This webinar presents the advantages of timeseries analysis and the multifaceted research focused on dramatically decreasing the amount of time required to complete accurate QSTS simulations.