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Title: Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation

Abstract

Software-defined networking (SDN) enables efficient network management. As the technology matures, utilities are looking to integrate those benefits to their operations technology (OT) networks. To help the community to better understand and evaluate the effects of such integration, we develop DSSnet, a testing platform that combines a power distribution system simulator and an SDN-based network emulator for smart grid planning and evaluation. DSSnet relies on a container-based virtual time system to achieve efficient synchronization between the simulation and emulation systems. To enhance the system scalability and usability, we extend DSSnet to support a distributed controller environment. To enhance system fidelity, we extend the virtual time system to support kernel-based switches. In conclusion, we also evaluate the system performance of DSSnet and demonstrate the usability of DSSnet with a resilient demand response application case study.

Authors:
 [1];  [1];  [1];  [2];  [2]
+ Show Author Affiliations
  1. Illinois Institute of Technology, Chicago, IL (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability; Air Force Research Laboratory (AFRL), Air Force Office of Scientific Research (AFOSR); National Science Foundation (NSF)
OSTI Identifier:
1493432
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
ACM Transactions on Modeling and Computer Simulation
Additional Journal Information:
Journal Volume: 28; Journal Issue: 4; Journal ID: ISSN 1049-3301
Publisher:
Association for Computing Machinery
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; Electrical power system simulation; network emulation; smart grid; software-defined networking

Citation Formats

Hannon, Christopher, Yan, Jiaqi, Jin, Dong, Chen, Chen, and Wang, Jianhui. Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation. United States: N. p., 2018. Web. doi:10.1145/3186318.
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Hannon, Christopher, Yan, Jiaqi, Jin, Dong, Chen, Chen, & Wang, Jianhui. Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation. United States. https://doi.org/10.1145/3186318
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Hannon, Christopher, Yan, Jiaqi, Jin, Dong, Chen, Chen, and Wang, Jianhui. Thu . "Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation". United States. https://doi.org/10.1145/3186318. https://www.osti.gov/servlets/purl/1493432.
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@article{osti_1493432,
title = {Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation},
author = {Hannon, Christopher and Yan, Jiaqi and Jin, Dong and Chen, Chen and Wang, Jianhui},
abstractNote = {Software-defined networking (SDN) enables efficient network management. As the technology matures, utilities are looking to integrate those benefits to their operations technology (OT) networks. To help the community to better understand and evaluate the effects of such integration, we develop DSSnet, a testing platform that combines a power distribution system simulator and an SDN-based network emulator for smart grid planning and evaluation. DSSnet relies on a container-based virtual time system to achieve efficient synchronization between the simulation and emulation systems. To enhance the system scalability and usability, we extend DSSnet to support a distributed controller environment. To enhance system fidelity, we extend the virtual time system to support kernel-based switches. In conclusion, we also evaluate the system performance of DSSnet and demonstrate the usability of DSSnet with a resilient demand response application case study.},
doi = {10.1145/3186318},
journal = {ACM Transactions on Modeling and Computer Simulation},
number = 4,
volume = 28,
place = {United States},
year = {Thu Aug 30 00:00:00 EDT 2018},
month = {Thu Aug 30 00:00:00 EDT 2018}
}
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Publisher's Version of Record
https://doi.org/10.1145/3186318
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