Continuous-time neural networks for solving convex nonlinear unconstrained;programming problems without using gradient information of the objective function are proposed and analyzed. Thus, the proposed networks are ...

Continuous-time neural networks for solving convex nonlinear unconstrained;programming problems without using gradient information of the objective function are proposed and analyzed. Thus, the proposed networks are ...

This paper presents a new methodology based on multi-objective optimization techniques to perform an optimized, coordinated and selective allocation of control and protection devices in distribution networks with distributed ...

Protection of transmission lines is essential to ensure a correct operation of power systems. In this paper a pilot protection scheme, known as permissive overreaching transfer trip, is used. This structure combine two ...

This paper studies a dynamic coordination model with timing frictions and heterogeneity in several dimensions. Each agent might a ect and be a ected by others in di erent ways, and the frequency of their decisions might ...

This paper presents a methodology based on a multiobjective mathematical model to optimally allocate and coordinate protective devices and switches in electric power distribution systems with distributed generation (DG). ...

This paper proposes three metaheuristic optimization techniques to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical distribution systems (EDSs). Optimization algorithms based on tabu ...

This paper presents a new methodology for solving the optimal VAr planning problem in multi-area electric power systems, using the Dantzig-Wolfe decomposition. The original multi-area problem is decomposed into subproblems ...