M. La Scala

TL;DR: The objective of this paper is to define the state of the art and identify what the authors see to be the most fertile grounds for future research in parallel processing as applied to power system computation.

TL;DR: In this article, the authors describe the philosophy and the implementation of a preventive control algorithm for application in power system dynamic security assessment, which consists of an optimization procedure where: the objective function takes into account economic costs; inequality constraints confine the trajectory of the system in a practical domain of the state space; and equality constraints derive from the discretization of the differential-algebraic equations of the power system sparse representation.

TL;DR: The authors present a methodology for unbalanced three-phase OPF (TOPF) for DMS in a smart grid based on a quasi-Newton method and makes use of an open-source three- phase unbalanced distribution load flow.

TL;DR: In this paper, the authors deal with the development of a nonlinear programming methodology for evaluating available transfer capability, and the main feature of the approach is the capability to treat static and dynamic security constraints in a unique integrated piece of software.

TL;DR: In this article, the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs is addressed by a nonlinear constrained multiobjective optimization problem and solved by a goal attainment based methodology.