A Generic Advanced Computing Framework for Executing Windows-based Dynamic Contingency Analysis Tool in Parallel on Cluster Machines

Conference · Wed Dec 16 04:00:00 EST 2020

OSTI ID:1760327

Chen, Yousu ^[1]; Glaesemann, Kurt R. ^[1]; Li, Xinya ^[1]; Palmer, Bruce J. ^[1]; Huang, Renke ^[1]; Vyakaranam, Bharat GNVSR ^[1]

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1. BATTELLE (PACIFIC NW LAB)

Dynamic contingency analysis tool (DCAT) has been developed to assess the impact and likelihood of extreme contingencies and potential cascading events across their systems and interconnections. By including more customized protection models and corrective actions into the Windows-based commercial tools, DCAT can help operators understand the cascading behavior and find mitigation approaches to reduce the risk of cascading outages in a more realistic manner. In order to further enhance the capability of DCAT, this paper presents a design of an advanced computing framework that enables DCAT to run on a cluster machine to improve its computational performance. This framework is generic and can be applied to other Windows-based simulation tools to fill the technical gap of applying advanced computing technology to vendors' Windows-based tools. The preliminary tests using medium to large power systems have shown the effectiveness of this framework and its potential for accelerating the adoption of advanced computing in utilities.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1760327
• Report Number(s): PNNL-SA-149017
• Country of Publication: United States
• Language: English

Related Subjects

Advanced computing
dynamic contingency analysis
cross-platform
power system planning