Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV
Year: 2021
Type: report
Abstract: The rapid increase in penetration of distributed energy resources on the electric power distribution system has created a need for more comprehensive interconnection modeling and impact analysis. Unlike conventional scenario-based studies, quasi-static time-series (QSTS) simulations can realistically model time-dependent voltage controllers and the diversity of potential impacts that can occur at different times of year. However, to accurately model a distribution system with all its controllable devices, a yearlong simulation at 1-second resolution is often required, which could take conventional computers a computational time of 10 to 120 hours when an actual unbalanced distribution feeder is modeled. This computational burden is a clear limitation to the adoption of QSTS simulations in interconnection studies and for determining optimal control solutions for utility operations. The solutions we developed include accurate and computationally efficient QSTS methods that could be implemented in existing open-source and commercial software used by utilities and the development of methods to create high-resolution proxy data sets. This project demonstrated multiple pathways for speeding up the QSTS computation using new and innovative methods for advanced time-series analysis, faster power flow solvers, parallel processing of power flow solutions and circuit reduction. The target performance level for this project was achieved with year-long high-resolution time series solutions run in less than 5 minutes within an acceptable error.
DOI: 10.2172/1773234
Authors: Sandia National Laboratories (SNL-CA), Livermore, CA (United States), Robert Broderick, USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office, USDOE National Nuclear Security Administration (NNSA), Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), CYME International T&D, Quebec (Canada), Matthew Reno, Matthew Lave, Joseph Azzolini, Logan Blakely, Jason Galtieri, Barry Mather, Andrew Weekley, Randolph Hunsberger, Manohar Chamana, Qinmiao Li, Wenqi Zhang, Aadil Latif, Xiangqi Zhu, Santiago Grijalva, Xiaochen Zhang, Jeremiah Deboever, Muhammad Qureshi, Francis Therrien, Jean-Sebastien Lacroix, Feng Li, Marc Belletete, Guillaume Hebert, Davis Montenegro, Roger Dugan
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3160135091