Contingency analysis is a key function in the Energy Management System (EMS) to assess the impact of various combinations of power system component failures based on state estimates. Contingency analysis is also extensively used in power market operation for feasibility test of market solutions. Faster analysis of more cases is required to safely and reliably operate today’s power grids with less marginal and more intermittent renewable energy sources. Enabled by the latest development in the computer industry, high performance computing holds the promise of meet the need in the power industry. This paper investigates the potential of high performance computing for massive contingency analysis. The framework of "N-x" contingency analysis is established and computational load balancing schemes are studied and implemented with high performance computers. Case studies of massive 300,000-contingency-case analysis using the Western Electricity Coordinating Council power grid model are presented to illustrate the application of high performance computing and demonstrate the performance of the framework and computational load balancing schemes.
Revised: January 3, 2013 |
Published: July 26, 2009
Citation
Huang Z., Y. Chen, and J. Nieplocha. 2009.Massive Contingency Analysis with High Performance Computing. In Proceedings of IEEE Power and Energy Society General Meeting (PES 2009), July 26-30, 2009, Calgary, Canada. Piscataway, New Jersey:Institute of Electrical and Electronics Engineers.PNNL-SA-66071.doi:10.1109/PES.2009.5275421