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Title: CyDER – an FMI-based co-simulation platform for distributed energy resources

Abstract

The increased integration of distributed energy resources (DERs) is bringing a number of challenges to the power grid. These include reverse power flows in distribution systems and potentially transmission systems and grid stability. So far, specialized tools have been developed to capture some of the impact of DERs at the distribution level. However, distribution system operators lack visibility into the overall system conditions. Furthermore, the impact of increasing DERs is not limited to the distribution level but also influences the transmission grid. To support the planning and operation of the grid, we developed a co-simulation platform called CyDER (A Cyber Physical Co-simulation Platform for Distributed Energy Resources in Smart Grids) that integrates various domain-specific simulation tools. CyDER is based on the functional mock-up interface standard. This paper gives an overview of CyDER and demonstrates its use based on two applications.

Authors:
 [1];  [1];  [1];  [1];  [2];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1497965
Report Number(s):
LLNL-JRNL-754296
Journal ID: ISSN 1940-1493; 940993
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Building Performance Simulation
Additional Journal Information:
Journal Name: Journal of Building Performance Simulation; Journal ID: ISSN 1940-1493
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 42 ENGINEERING; functional mock-up interface; functional mock-up unit; co-simulation; power grid; distributed energy resources; Modelica

Citation Formats

Nouidui, Thierry S., Coignard, Jonathan, Gehbauer, Christoph, Wetter, Michael, Joo, Jhi-Young, and Vrettos, Evangelos. CyDER – an FMI-based co-simulation platform for distributed energy resources. United States: N. p., 2018. Web. doi:10.1080/19401493.2018.1535623.
Nouidui, Thierry S., Coignard, Jonathan, Gehbauer, Christoph, Wetter, Michael, Joo, Jhi-Young, & Vrettos, Evangelos. CyDER – an FMI-based co-simulation platform for distributed energy resources. United States. doi:10.1080/19401493.2018.1535623.
Nouidui, Thierry S., Coignard, Jonathan, Gehbauer, Christoph, Wetter, Michael, Joo, Jhi-Young, and Vrettos, Evangelos. Mon . "CyDER – an FMI-based co-simulation platform for distributed energy resources". United States. doi:10.1080/19401493.2018.1535623.
@article{osti_1497965,
title = {CyDER – an FMI-based co-simulation platform for distributed energy resources},
author = {Nouidui, Thierry S. and Coignard, Jonathan and Gehbauer, Christoph and Wetter, Michael and Joo, Jhi-Young and Vrettos, Evangelos},
abstractNote = {The increased integration of distributed energy resources (DERs) is bringing a number of challenges to the power grid. These include reverse power flows in distribution systems and potentially transmission systems and grid stability. So far, specialized tools have been developed to capture some of the impact of DERs at the distribution level. However, distribution system operators lack visibility into the overall system conditions. Furthermore, the impact of increasing DERs is not limited to the distribution level but also influences the transmission grid. To support the planning and operation of the grid, we developed a co-simulation platform called CyDER (A Cyber Physical Co-simulation Platform for Distributed Energy Resources in Smart Grids) that integrates various domain-specific simulation tools. CyDER is based on the functional mock-up interface standard. This paper gives an overview of CyDER and demonstrates its use based on two applications.},
doi = {10.1080/19401493.2018.1535623},
journal = {Journal of Building Performance Simulation},
issn = {1940-1493},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on November 19, 2019
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