Domenico Villacci

TL;DR: In this article, the authors proposed a new solution methodology based on the use of affine arithmetic, which is an enhanced model for self-validated numerical analysis in which the quantities of interest are represented as affine combinations of certain primitive variables representing the sources of uncertainty in the data or approximations made during the computation.

TL;DR: The paper proposes an advanced framework based on the service-oriented architectures for integrated MG modeling, monitoring, and control that is an ideal candidate for an effective integration in existing energy management systems and distribution management systems (EMSs/DMSs).

TL;DR: In this paper, the authors proposed a computational architecture for the voltage regulation of distribution networks equipped with dispersed generation systems (DGS), which aims to find an effective solution of the optimal regulation problem by combining a conventional nonlinear programming algorithm with an adaptive local learning technique.

TL;DR: The architecture integrates a network of remotely controlled units distributed in the most critical sections of the electrical network for fields data acquisition and safety check violations, a distributed solution engine for the online analysis of the system security, and a Web-based interface for graphical synoptic and reporting development.

TL;DR: In this article, interval constraint propagation (ICP) is employed for refining enclosures to solutions of nonlinear systems of equations by merging interval mathematic and constraint propagation techniques, and several numerical results are presented and discussed in order to assess the effectiveness of the proposed methodology as an alternative to sampling-based technique, in radial power flow analysis.