Real Time Simulation of Power Grid Disruptions

Chinthavali, Supriya ; Dimitrovski, Aleksandar D ; Fernandez, Steven J ; Groer, Christopher S ; Nutaro, James J ; Olama, Mohammed M ; Omitaomu, Olufemi A ; Shankar, Mallikarjun ; Spafford, Kyle L ; Vacaliuc, Bogdan

Oak Ridge National Laboratory

DOI  :  10.2172/1082004
RP-ID  :  ORNL/TM-2012/483
RP-ID  :  DE-AC05-00OR22725
RP-ID  :  1082004

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来源: UNT Digital Library

【 摘 要 】

DOE-OE and DOE-SC workshops (Reference 1-3) identified the key power grid problem that requires insight addressable by the next generation of exascale computing is coupling of real-time data streams (1-2 TB per hour) as the streams are ingested to dynamic models. These models would then identify predicted disruptions in time (2-4 seconds) to trigger the smart grid s self healing functions. This project attempted to establish the feasibility of this approach and defined the scientific issues, and demonstrated example solutions to important smart grid simulation problems. These objectives were accomplished by 1) using the existing frequency recorders on the national grid to establish a representative and scalable real-time data stream; 2) invoking ORNL signature identification algorithms; 3) modeling dynamically a representative region of the Eastern interconnect using an institutional cluster, measuring the scalability and computational benchmarks for a national capability; and 4) constructing a prototype simulation for the system s concept of smart grid deployment. The delivered ORNL enduring capability included: 1) data processing and simulation metrics to design a national capability justifying exascale applications; 2) Software and intellectual property built around the example solutions; 3) demonstrated dynamic models to design few second self-healing.