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Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation

Journal Article · · ACM Transactions on Modeling and Computer Simulation
DOI:https://doi.org/10.1145/3186318· OSTI ID:1493432
 [1];  [1];  [1];  [2];  [2]
  1. Illinois Institute of Technology, Chicago, IL (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)

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.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability; Air Force Research Laboratory (AFRL), Air Force Office of Scientific Research (AFOSR); National Science Foundation (NSF)
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1493432
Journal Information:
ACM Transactions on Modeling and Computer Simulation, Journal Name: ACM Transactions on Modeling and Computer Simulation Journal Issue: 4 Vol. 28; ISSN 1049-3301
Publisher:
Association for Computing MachineryCopyright Statement
Country of Publication:
United States
Language:
English

References (20)

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Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis journal October 2014
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