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Published byDana Henderson Modified over 9 years ago
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Co-Simulation of Computer Networks and Power Grid Prof. Vincenzo Liberatore 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. Joint work with Prof. M. Branicky, Dr. A. Al-Hammouri, and D. Agarwal
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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 –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.
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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
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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
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Configuration parameters Transient disturbances Voltage set pointPI controllerP controller Voltage sensor Transient disturbance Impedance loadRotational sourcePM generator Symmetrical capacitor Power sensor Ground
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Queued packets
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Results (1) Multimedia application consumes only 0.25 Mbps of the 3 Mbps bottleneck link
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Results (2) Multimedia application consumes 2.5 Mbps of the 3 Mbps bottleneck link
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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
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