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.
Advances in Distribution System Time-Series Analysis for Studying DER Impacts presented by Matthew Reno
Posted: 15 Feb 2018
Primary Committee:IEEE Smart Grid Webinar Series
Sponsoring Society Members: Free
IEEE Members: $11.00
Please sign in at the top of the page. If you are not an IEEE member, please create a free account to make a purchase or become a society member to have access to all materials for free.
IEEE 2030.5 Revision Review & the GREAT-DR Use Case : Session 4 presented by Ravi Subramaniam - Ed Prod
Slides for Session 4- IEEE 2030.5 Revision Review & the GREAT-DR Use Case presented by Ravi Subramaniam
IEEE 2030.5 Revision Review & the GREAT-DR Use Case : Session 3 presented by Raed Abdullah, Javad Fattahi - Ed Prod
Slides for Session 3- IEEE 2030.5 Revision Review & the GREAT-DR Use Case presented by Raed Abdullah & Javad Fattahi
Interview with Manimaran Govindarasu - Cybersecurity for the Smart Grid: Challenges and R&D Directions