Power Systems Signal Processing for Smart Grids

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With special relation to smart grids, this book provides a clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, demonstrating the application of many different DSP and IC techniques to typical and expected system conditions with practical power system examples. Discussing many recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art and to develop new tools. It presents: * an overview of the power system and electric signals, with a description of the basic concepts of DSP commonly found in power system problems, * the application of several signal processing tools to problems, looking at power signal estimation and decomposition, pattern recognition techniques and detection of the power system signal variations, * a description of DSP in relation to measurements, power quality, monitoring, protection and control and wide area monitoring, * a companion website with real signal data and several examples of MATLAB (r) code, DSP algorithms and samples of signals for further processing, understanding and analysis. Power Systems Signal Processing for Smart Grids can be a helpful guide for utilities engineers as well as researchers and postgraduate students investigating, designing and operating the intelligent grid of the future. It is intended to facilitate the learning and application of signal processing analysis and the understanding of power quality, protection and control of energy systems in general.