Transcript A Co-simulation Platform for Cyber

Co-Simulation of
Computer Networks and
Power Grid
Prof. Vincenzo Liberatore
Joint work with Prof. M. Branicky, Dr. A. Al-Hammouri, and D. Agarwal
Research supported in part by NSF CCR-0329910, Department of Commerce
TOP 39-60-04003, Department of Energy DE-FC26-06NT42853, an OhioICE
training grant, and the Wright Center for Sensor Systems Engineering.
Intelligent Power Grid
• Power grid
– Essential to economy, national security, public health
– Mostly designed and deployed prior to microprocessors,
computer networks
– As a result, assets underutilized, subject to massive failures
• Objectives
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Collaborative management, planning, and operations
Situational awareness and control
Plug-and-play asset integration
Market dynamics
• Reduce peak prices
• Stabilize costs when supply is limited.
First step: Co-simulation
• Modelica (www.modelica.org)
– Modeling and simulation of large-scale physical
systems
– Several libraries (e.g., Standard, Power systems,
Hydraulics, Pneumatics, Power train)
• ns-2 (www.isi.edu/nsnam/ns/)
– Simulating routing, transport, and application
protocols over wired, wireless, local- and wide area
networks
• Integrating state-of-the-art simulators
Integrating Modelica & ns-2
Electrical power systems
• simulated using Modelica
• DC & AC (abc & dqo)
• generators, transmission
lines, loads, machines,
breakers & faults, …
Networks
• simulated using ns-2
Configuration parameters
Voltage set point
PI controller
P controller
Transient disturbance
Transient disturbances
Voltage sensor
Symmetrical
capacitor
Ground
Rotational source
PM generator
Power sensor
Impedance load
Queued packets
Results (1)
• Multimedia application consumes only 0.25
Mbps of the 3 Mbps bottleneck link
Results (2)
• Multimedia application consumes 2.5 Mbps of
the 3 Mbps bottleneck link
Conclusions
• Intelligent Power Grid
– Situational awareness and distributed control
• Co-simulation
– Joint simulation of networks and grid
dynamics
– Integration and synchronization of simulators
– Example with remote sensing of voltage,
network congestion