Elsevier Affine Arithmetic-Based Methods for Uncertain Power System Analysis

Affine Arithmetic-Based Methods for Uncertain Power System Analysis presents the unique properties and representative applications of Affine Arithmetic in power systems analysis, particularly as they are deployed for reliability optimization. The work provides a comprehensive foundation in Affine Arithmetic necessary to understand the central computing paradigms that can be adopted for uncertain power flow and optimal power flow analyses. These paradigms are adapted and applied to case studies, which integrate benchmark test systems and full step-by-step procedure for implementation so that readers are able to replicate and modify. The work is presented with illustrative numerical examples and MATLAB computations. Review Develops a novel toolset of methods for the optimization of power systems analysis necessary to face the large uncertainties characterizing modern electrical grids From the Back Cover <i>Affine Arithmetic-Based Methods for Uncertain Power System Analysis</i> presents the unique properties and representative applications of Affine Arithmetic in power systems analysis, particularly as they are deployed for reliability optimization. The work provides a comprehensive foundation in Affine Arithmetic necessary to understand the central computing paradigms that can be adopted for uncertain power flow and optimal power flow analyses. These paradigms are adapted and applied to case studies, which integrate benchmark test systems and full step-by-step procedure for implementation so that readers are able to replicate as well as modify it. The work is presented with illustrative numerical examples and MATLAB computations. About the Author Alfredo Vaccaro received his MSc degree cum laude and commendation in Electronic Engineering from the University of Salerno, Italy, and his PhD in Electrical and Computer Engineering from University of Waterloo, Ontario, Canada. He was formerly research fellow at the Power System Group of the Department of Electrical and Information Engineering (DIIIE) of University of Salerno. He then joined the Electric Power Systems at the Department of Engineering, Faculty of Engineering of University of Sannio, where he is now Associate Professor. He has also been chair of the Research & Development Committee of the Opera21 Group SpA in the field of Advanced Information and Communications Technologies for Smart Grids, Task Leader of the strategic scientific initiatives of the Research Consortium on Agent Systems in the field of Smart Energy Networks, and Scientific Director of the bureau of the Research Centre on Pure and Applied Mathematics at the Department of Engineering, University of Sannio. Antonio Pepiciello received his B.S., M.S. and PhD in energy engineering from University of Sannio, Benevento, Italy, where he is currently a postdoctoral scholar. His research interests include integration of renewable energy sources in power systems, power system dynamics, decision making under uncertainty and time synchronization of sensor networks.