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DOI10.2172/1082004
报告编号ORNL/TM-2012/483
来源IDOSTI_ID: 1082004
Real Time Simulation of Power Grid Disruptions
Chinthavali, Supriya [ORNL]; Dimitrovski, Aleksandar D [ORNL]; Fernandez, Steven J [ORNL]; Groer, Christopher S [ORNL]; Nutaro, James J [ORNL]; Olama, Mohammed M [ORNL]; Omitaomu, Olufemi A [ORNL]; Shankar, Mallikarjun [ORNL]; Spafford, Kyle L [ORNL]; Vacaliuc, Bogdan [ORNL]
英文摘要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.
出版年2012
报告类型Technical Report
语种英语
国家美国
URLhttp://www.osti.gov/scitech/servlets/purl/1082004
资源类型科技报告
条目标识符http://119.78.100.177/qdio/handle/2XILL650/270605
推荐引用方式
GB/T 7714
Chinthavali, Supriya [ORNL],Dimitrovski, Aleksandar D [ORNL],Fernandez, Steven J [ORNL],et al. Real Time Simulation of Power Grid Disruptions,2012.
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