DSSnet: A Smart Grid Modeling Platform Combining Electrical Power Distribution System Simulation and Software Defined Networking Emulation
Title | DSSnet: A Smart Grid Modeling Platform Combining Electrical Power Distribution System Simulation and Software Defined Networking Emulation |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Christopher Hannon, Illinois Institute of Technology, Jiaqi Yan, Illinois Institute of Tecnology, Dong Jin, Illinois Institute of Technology |
Conference Name | ACM SIGSIM Conference on Principles of Advanced Discrete Simulation |
Date Published | 05/2016 |
Conference Location | Bamff, Alberta, Canada |
Keywords | A Hypothesis Testing Framework for Network Security, CPS Domains, Electrical power system simulation, Energy Sector, Metrics, microgrid, networ emulation, Network security, Neural Network, Neural networks, neural networks security, NSA SoS Lablets Materials, policy-based governance, pubcrawl, Resiliency, science of security, Smart grid, Smart Grid Privacy, software-defined networking, UIUC |
Abstract | The successful operations of modern power grids are highly dependent on a reliable and ecient underlying communication network. Researchers and utilities have started to explore the opportunities and challenges of applying the emerging software-de ned networking (SDN) technology to enhance eciency and resilience of the Smart Grid. This trend calls for a simulation-based platform that provides sufcient exibility and controllability for evaluating network application designs, and facilitating the transitions from inhouse research ideas to real productions. In this paper, we present DSSnet, a hybrid testing platform that combines a power distribution system simulator with an SDN emulator to support high delity analysis of communication network applications and their impacts on the power systems. Our contributions lay in the design of a virtual time system with the tight controllability on the execution of the emulation system, i.e., pausing and resuming any speci ed container processes in the perception of their own virtual clocks, with little overhead scaling to 500 emulated hosts with an average of 70 ms overhead; and also lay in the ecient synchronization of the two sub-systems based on the virtual time. We evaluate the system performance of DSSnet, and also demonstrate the usability through a case study by evaluating a load shifting algorithm. |
Citation Key | node-27179 |
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- CPS Domains
- Energy Sector
- Smart Grid
- Science of Security
- Neural networks
- UIUC
- software-defined networking
- Smart Grid
- Science of Security
- Resiliency
- pubcrawl
- policy-based governance
- NSA SoS Lablets Materials
- neural networks security
- Smart Grid Privacy
- neural network
- network security
- networ emulation
- microgrid
- Metrics
- Energy Sector
- Electrical power system simulation
- CPS Domains
- A Hypothesis Testing Framework for Network Security
- UIUC
- Network Security
- NSA SoS Lablets Materials