Advances in Distribution System Time-Series Analysis for Studying DER Impacts
Presented by: Matthew J. Reno, Senior Engineer, Sandia National Laboratories
Thursday, February 15, 2018 | 1:00pm – 2:00pm ET
Distribution system analysis with ever increasing numbers of distributed energy resources (DER) requires new innovations in planning analysis tools to:
- Capture the time-varying and time-dependent aspects of the system,
- 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
- 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 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.
About the Speaker:
Matthew Reno has worked at Sandia National Laboratories for the last 10 years. He is a Senior Engineer in the Electric Power Systems Research Department and works on solar variability modelling and the impact to the operation of the electric distribution system. He received his Ph.D. in electrical engineering from Georgia Institute of Technology.
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After the Webinar is Presented:
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