Title: Evaluating the effect of resource constraints on resilience of bulk power system with an electric power restoration model
Authors: Eric D. Vugrin; Michael J. Baca; Michael D. Mitchell; Kevin L. Stamber
Addresses: Department of Regulatory and Resilience Effects, Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM, 87185-1138, USA ' Military and Energy Systems Analysis Department, Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM, 87185-1188, USA ' SAIC, Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM, 87185-1137, USA ' Department of Systems Research, Analysis, and Applications, Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM, 87185-1137, USA
Abstract: Although reliability standards for electric power systems are well accepted, methods and metrics are not established for evaluating the effects of large-scale disruptions that exceed N − 1 criteria for bulk power systems. This paper introduces a model for simulating restoration of bulk power systems following such disruptions. The model allows analysts to simulate disruption of a bulk power system by designating system components as damaged or non-functional. The analyst further defines recovery resource availability and restoration priorities. The model then compares resource requirements to constraints to calculate the timeline of repair completion and the dynamic restoration of power across the network. Resilience metrics quantify the impacts and costs of the disruption to the utility. These quantities enable the analyst to evaluate how proposed system improvements affect restoration and resilience of the bulk power system. The paper concludes with an illustrative case study on a simplified seven-bus system.
Keywords: resilience metrics; reliability; bulk power systems; BPSs; restoration modelling; resource constraints; electric power restoration; simulation; repair completion; dynamic restoration; system improvements.
International Journal of System of Systems Engineering, 2014 Vol.5 No.1, pp.68 - 91
Received: 24 Oct 2013
Accepted: 22 Jan 2014
Published online: 30 Jun 2014 *