Joao B. A. London

TL;DR: The combination of the multiobjective EA with NDE (MEAN) results in the proposed approach for solving DSs problems for large-scale networks, with results showing the MEAN is able to find adequate restoration plans for a real DS with 3860 buses and 632 switches in a running time of 0.68 s.

TL;DR: In this paper, the authors proposed a real-time measurement set assessment tool for power-system state estimation using only network-topology data, which can update the qualitative characteristics of the current available measurement set in real time.

TL;DR: The combination of the multiobjective EA with NDE (MEAN) results in the proposed approach for solving DSs problems for large-scale networks, with results showing the MEAN is able to find adequate restoration plans for a real DS with 3860 buses and 632 switches in a running time of 0.68 s.

TL;DR: The reliability of the proposed approach to deal with single and multiple parameter errors in adjacent and non-adjacent branches, as well as in parallel transmission lines with series compensation, is confirmed on tests performed on the Hydro-Québec TransÉnergie network.

TL;DR: A probabilistic assessment of power distribution systems resilience under different weather conditions is presented, based on Monte Carlo simulation considering failures and repairs models obtained in previous studies for the used power distribution system, allowing consideration of different weather scenarios during the resilience estimation.