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Power Systems Signal Processing for Smart Grids

Download or Read eBook Power Systems Signal Processing for Smart Grids PDF written by Paulo Fernando Ribeiro and published by John Wiley & Sons. This book was released on 2013-09-20 with total page 400 pages. Available in PDF, EPUB and Kindle.
Power Systems Signal Processing for Smart Grids
Author :
Publisher : John Wiley & Sons
Total Pages : 400
Release :
ISBN-10 : 9781118639238
ISBN-13 : 1118639235
Rating : 4/5 (38 Downloads)

Book Synopsis Power Systems Signal Processing for Smart Grids by : Paulo Fernando Ribeiro

Book excerpt: With special relation to smart grids, this book provides 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, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all 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 on the power system and electric signals, with 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, detection of the power system signal variations description of DSP in relation to measurements, power quality, monitoring, protection and control, and wide area monitoring a companion website with real signal data, several Matlab codes with examples, DSP scripts and samples of signals for further processing, understanding and analysis Practicing power systems engineers and utility engineers will find this book invaluable, as will researchers of electrical power and energy systems, postgraduate electrical engineering students, and staff at utility companies.


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