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Title: Challenges in reducing the computational time of QSTS simulations for distribution system analysis.

Abstract

The rapid increase in penetration of distributed energy resources on the electric power distribution system has created a need for more comprehensive interconnection modelling and impact analysis. Unlike conventional scenario - based studies , quasi - static time - series (QSTS) simulation s 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 l imitation to the adoption of QSTS simulation s in interconnection studies and for determining optimal control solutions for utility operations . Our ongoing research to improve the speed of QSTS simulation has revealed many unique aspects of distribution system modelling and sequential power flow analysis that make fast QSTS a very difficult problem to solve. In this report , the most relevant challenges in reducing the computational time of QSTS simulations are presented: number of power flows to solve, circuit complexity,more » time dependence between time steps, multiple valid power flow solutions, controllable element interactions, and extensive accurate simulation analysis.« less

Authors:
 [1];  [1];  [2];  [2];  [1];  [3]
  1. Georgia Inst. of Technology, Atlanta, GA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. CME International T&D, St. Bruno, QC (Canada)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1367462
Report Number(s):
SAND-2017-5743
653822
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Deboever, Jeremiah, Zhang, Xiaochen, Reno, Matthew J., Broderick, Robert Joseph, Grijalva, Santiago, and Therrien, Francis. Challenges in reducing the computational time of QSTS simulations for distribution system analysis.. United States: N. p., 2017. Web. doi:10.2172/1367462.
Deboever, Jeremiah, Zhang, Xiaochen, Reno, Matthew J., Broderick, Robert Joseph, Grijalva, Santiago, & Therrien, Francis. Challenges in reducing the computational time of QSTS simulations for distribution system analysis.. United States. doi:10.2172/1367462.
Deboever, Jeremiah, Zhang, Xiaochen, Reno, Matthew J., Broderick, Robert Joseph, Grijalva, Santiago, and Therrien, Francis. Thu . "Challenges in reducing the computational time of QSTS simulations for distribution system analysis.". United States. doi:10.2172/1367462. https://www.osti.gov/servlets/purl/1367462.
@article{osti_1367462,
title = {Challenges in reducing the computational time of QSTS simulations for distribution system analysis.},
author = {Deboever, Jeremiah and Zhang, Xiaochen and Reno, Matthew J. and Broderick, Robert Joseph and Grijalva, Santiago and Therrien, Francis},
abstractNote = {The rapid increase in penetration of distributed energy resources on the electric power distribution system has created a need for more comprehensive interconnection modelling and impact analysis. Unlike conventional scenario - based studies , quasi - static time - series (QSTS) simulation s 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 l imitation to the adoption of QSTS simulation s in interconnection studies and for determining optimal control solutions for utility operations . Our ongoing research to improve the speed of QSTS simulation has revealed many unique aspects of distribution system modelling and sequential power flow analysis that make fast QSTS a very difficult problem to solve. In this report , the most relevant challenges in reducing the computational time of QSTS simulations are presented: number of power flows to solve, circuit complexity, time dependence between time steps, multiple valid power flow solutions, controllable element interactions, and extensive accurate simulation analysis.},
doi = {10.2172/1367462},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 01 00:00:00 EDT 2017},
month = {Thu Jun 01 00:00:00 EDT 2017}
}

Technical Report:

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