TY - JOUR
T1 - Assessing the vulnerability of a power system through a multiple objective contingency screening approach
AU - Rocco, Claudio M.
AU - Ramirez-Marquez, Jose Emmanuel
AU - Salazar, Daniel E.
AU - Yajure, Cesar
PY - 2011/6
Y1 - 2011/6
N2 - This paper introduces a new, alternative approach for the analysis of power systems vulnerability based on a hybrid model that combines elements of the classical Deterministic Network Interdiction Problem (DNIP) with the use of an efficient multi-objective optimization evolutionary algorithm (MOEA). From a power systems perspective, the traditional DNIP is implemented as a surrogate approach to understand the interaction between the power systems component incapacitation (due to random failures or external attacks), and the system load shedding. The paper recognizes that, when analyzing power system vulnerability, it is possible to have multiple competing objectives and multiple prospective solutions that may change based on the preference of the decision-maker. This multi-objective view of the DNIP in the power systems context is solved using MOEA. As a result, the proposed approach could be used as an initial, straightforward screening approach to identify severe system disturbances. Several examples illustrate that the approach is able to reproduce and improve upon the results presented in previous studies.
AB - This paper introduces a new, alternative approach for the analysis of power systems vulnerability based on a hybrid model that combines elements of the classical Deterministic Network Interdiction Problem (DNIP) with the use of an efficient multi-objective optimization evolutionary algorithm (MOEA). From a power systems perspective, the traditional DNIP is implemented as a surrogate approach to understand the interaction between the power systems component incapacitation (due to random failures or external attacks), and the system load shedding. The paper recognizes that, when analyzing power system vulnerability, it is possible to have multiple competing objectives and multiple prospective solutions that may change based on the preference of the decision-maker. This multi-objective view of the DNIP in the power systems context is solved using MOEA. As a result, the proposed approach could be used as an initial, straightforward screening approach to identify severe system disturbances. Several examples illustrate that the approach is able to reproduce and improve upon the results presented in previous studies.
KW - Contingency screening
KW - interdiction
KW - multi-objective evolutionary optimization
KW - power system security
UR - http://www.scopus.com/inward/record.url?scp=79958012668&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79958012668&partnerID=8YFLogxK
U2 - 10.1109/TR.2011.2135490
DO - 10.1109/TR.2011.2135490
M3 - Article
AN - SCOPUS:79958012668
SN - 0018-9529
VL - 60
SP - 394
EP - 403
JO - IEEE Transactions on Reliability
JF - IEEE Transactions on Reliability
IS - 2
M1 - 5753983
ER -