Title :
N-1-1 contingency-constrained optimal power flow by interdiction methods
Author :
Neng Fan ; Chen, R. ; Watson, J.
Author_Institution :
Discrete Math & Complex Syst. Dept., Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
N-1-1 contingency analysis considers the consecutive loss of two elements in a power system, with intervening time for operator adjustments; the associated reliability criterion was recently included in the NERC Standard TPL-001-1. In this paper, we introduce optimization models for N-1-1 contingency analysis, based on DC optimal power flow considerations. We use mixed-integer programming approaches to optimally model the system adjustments required to avoid potential cascading outages during the primary and secondary contingencies. Contingencies are determined via worst-case interdiction analysis. To facilitate operation during the secondary contingency, line overloads and load shedding are allowed. We test our models and algorithms on several IEEE test systems. Our computational experiments indicate potential for the models to augment comprehensive system operations models, such as unit commitment.
Keywords :
load flow; optimisation; power generation dispatch; power generation reliability; power generation scheduling; DC optimal power flow; IEEE test systems; N-1-1 contingency-constrained optimal power flow; NERC Standard TPL-001-1; associated reliability criterion; augment comprehensive system; consecutive loss; interdiction methods; line overloads; load shedding; mixed-integer programming; operator adjustments; optimization; power system; secondary contingency; unit commitment; worst-case interdiction; Analytical models; Biological system modeling; Computational modeling; Generators; Load modeling; Optimization; Power transmission lines; N-1-1 contingency analysis; mixed integer programming; optimal power flow; power flow interdiction;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345713