A Multi-Objective Memetic Optimization Method for Power Network Cascading Failures Protection

Abstract : Reliable and safe power grid operation requires the anticipation of cascading failures and the establishment of appropriate protection plans for their management. In this paper, we address this latter problem by line switching and propose a multi-objective memetic algorithm (MOMA), which combines the binary differential evolution algorithm with the non-dominated sorting mechanism and the Lamarckian local search. The 380 kV Italian power transmission network is used as a realistic test case.
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Submitted on : Monday, October 1, 2012 - 11:43:00 AM
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Yan-Fu Li, Enrico Zio, Giovanni Sansavini, L. R. Golea. A Multi-Objective Memetic Optimization Method for Power Network Cascading Failures Protection. PSAM11 & ESREL 2012, Jun 2012, Finland. pp.1-10. ⟨hal-00737086⟩

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