Newton G. Bretas

TL;DR: The performance achieved suggests that the proposed methodology can provide an efficient alternative for reconfiguration problems, and an efficient data structure for tree representation may significantly increase the performance of evolutionary-based approaches for network reconfigured systems.

TL;DR: In this paper, the authors present the fundamentals and the algorithm of a new methodology for the design of robust power system damping controllers, which provides controllers capable of fulfilling various practical requirements of the oscillations damping problem, which could not simultaneously satisfy by the majority of the proposed robust approaches.

TL;DR: In this article, the authors present the fundamentals and the algorithm of a new methodology for the design of robust power system damping controllers, which is based on a special formulation of the dynamic output feedback control problem, in which the design problem can be expressed directly in the form of linear matrix inequalities.

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 article, an extension of the invariance principle is used to support the proposal of a new function which is an extended Lyapunov function for power systems incorporating the transfer conductances.