Massive blackouts of electrical power systems in North America over the past decade has focused increasing attention upon ways to identify and simulate network events that may potentially lead to widespread network collapse. This paper summarizes a method to simulate power-system vulnerability to cascading failures to a supplied set of initiating events synonymously termed as Extreme Events. The implemented simulation method is currently confined to simulating steady state power-system response to a set of extreme events. The outlined method of simulation is meant to augment and provide a new insight into bulk power transmission network planning that at present remains mainly confined to maintaining power system security for single and double component outages under a number of projected future network operating conditions. Although one of the aims of this paper is to demonstrate the feasibility of simulating network vulnerability to cascading outages, a more important goal has been to determine vulnerable parts of the network that may potentially be strengthened in practice so as to mitigate system susceptibility to cascading failures. This paper proposes to demonstrate a systematic approach to analyze extreme events and identify vulnerable system elements that may be contributing to cascading outages. The hypothesis of critical events corridors is proposed to represent repeating sequential outages that can occur in the system for multiple initiating events. The new concept helps to identify system reinforcements that planners could engineer in order to "break" the critical events sequences and therefore lessen the likelihood of cascading outages. This hypothesis has been successfully validated with a California power system model.
Revised: October 24, 2011 |
Published: October 17, 2011
Citation
Makarov Y.V., N.A. Samaan, R. Diao, M. Kumbale, Y. Chen, R. Singh, and I. Green, et al. 2011.Assessment of Critical Events Corridors through Multivariate Cascading Outages Analysis. In IEEE 2011 Power and Energy Society General Meeting, July 24-29, 2011, Detroit, Michigan. Piscataway, New Jersey:IEEE.PNNL-SA-78197.doi:10.1109/PES.2011.6039900