Assessing the vulnerability of a power system through a multiple objective contingency screening approach

Claudio M. Rocco, Jose Emmanuel Ramirez-Marquez, Daniel E. Salazar, Cesar Yajure

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

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.

Original languageEnglish
Article number5753983
Pages (from-to)394-403
Number of pages10
JournalIEEE Transactions on Reliability
Volume60
Issue number2
DOIs
StatePublished - Jun 2011

Keywords

  • Contingency screening
  • interdiction
  • multi-objective evolutionary optimization
  • power system security

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