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Power Systems Signal Processing For Smart Grids Paulo F Ribeiro

SKU: BELL-4699932

$ 31.00 ~~$ 45.00~~ (-31%)

4.8

74 reviews

Power Systems Signal Processing For Smart Grids Paulo F Ribeiro instant download after payment.

Publisher: John Wiley & Sons

File Extension: PDF

File size: 18.96 MB

Pages: 443

Author: Paulo F Ribeiro

ISBN: 9781118639214, 9781118639238, 9781119991502, 1118639219, 1118639235, 1119991501

Language: English

Year: 2014

Product desciption

Power Systems Signal Processing For Smart Grids Paulo F Ribeiro by Paulo F Ribeiro 9781118639214, 9781118639238, 9781119991502, 1118639219, 1118639235, 1119991501 instant download after payment.

"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"--