Power Systems Signal Processing for Smart Grids - Hardcover

by Paulo Fernando Ribeiro (Author), Carlos Augusto Duque (Author), Paulo M疵cio Ribeiro (Author)

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.

Back Jacket

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.

Author Biography

Professor Paulo F. Ribeiro, Calvin College, USA

Professor Ribeiro is professor of Engineering at Calvin College, Michigan. He has been involved with the application of advanced signal processing, applied to power quality and power systems in general, for the past fifteen years. For the past six years he has chaired the IEEE Task Force on Probabilistic Aspects of Harmonics. In 1994 he proposed the use of wallets to power quality applications; this has been followed by many people and has generated much research, several Masters and a PhD Thesis. Dr. Ribeiro is active in the IEEE, CIGRE and IEC working groups on power quality, and is a Registered Professional Engineer in the State of Iowa.