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Title: Temporal Decompostion of a Distribution System Quasi-Static Time-Series Simulation

Abstract

This paper documents the first phase of an investigation into reducing runtimes of complex OpenDSS models through parallelization. As the method seems promising, future work will quantify - and further mitigate - errors arising from this process. In this initial report, we demonstrate how, through the use of temporal decomposition, the run times of a complex distribution-system-level quasi-static time series simulation can be reduced roughly proportional to the level of parallelization. Using this method, the monolithic model runtime of 51 hours was reduced to a minimum of about 90 minutes. As expected, this comes at the expense of control- and voltage-errors at the time-slice boundaries. All evaluations were performed using a real distribution circuit model with the addition of 50 PV systems - representing a mock complex PV impact study. We are able to reduce induced transition errors through the addition of controls initialization, though small errors persist. The time savings with parallelization are so significant that we feel additional investigation to reduce control errors is warranted.

Authors:
 [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1439174
Report Number(s):
NREL/CP-5D00-67889
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2017 IEEE Power and Energy Society General Meeting, 16-20 July 2018, Chicago, Illinois
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; analytical models; indexes; time series analysis; load flow analysis

Citation Formats

Mather, Barry A, and Hunsberger, Randolph J. Temporal Decompostion of a Distribution System Quasi-Static Time-Series Simulation. United States: N. p., 2018. Web. doi:10.1109/PESGM.2017.8274212.
Mather, Barry A, & Hunsberger, Randolph J. Temporal Decompostion of a Distribution System Quasi-Static Time-Series Simulation. United States. doi:10.1109/PESGM.2017.8274212.
Mather, Barry A, and Hunsberger, Randolph J. Thu . "Temporal Decompostion of a Distribution System Quasi-Static Time-Series Simulation". United States. doi:10.1109/PESGM.2017.8274212.
@article{osti_1439174,
title = {Temporal Decompostion of a Distribution System Quasi-Static Time-Series Simulation},
author = {Mather, Barry A and Hunsberger, Randolph J},
abstractNote = {This paper documents the first phase of an investigation into reducing runtimes of complex OpenDSS models through parallelization. As the method seems promising, future work will quantify - and further mitigate - errors arising from this process. In this initial report, we demonstrate how, through the use of temporal decomposition, the run times of a complex distribution-system-level quasi-static time series simulation can be reduced roughly proportional to the level of parallelization. Using this method, the monolithic model runtime of 51 hours was reduced to a minimum of about 90 minutes. As expected, this comes at the expense of control- and voltage-errors at the time-slice boundaries. All evaluations were performed using a real distribution circuit model with the addition of 50 PV systems - representing a mock complex PV impact study. We are able to reduce induced transition errors through the addition of controls initialization, though small errors persist. The time savings with parallelization are so significant that we feel additional investigation to reduce control errors is warranted.},
doi = {10.1109/PESGM.2017.8274212},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 01 00:00:00 EST 2018},
month = {Thu Feb 01 00:00:00 EST 2018}
}

Conference:
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