Olivia Florencias-Oliveros - Power Quality Measurement and Analysis Using Higher-Order Statistics: Understanding HOS contribution on the Smart(er) grid

1. Preface
2. Chapter 2
3. Chapter 3
4. Chapter 4
5. Chapter 5
6. Appendix C
7. Appendix D

1. Chapter 1
2. Chapter 2
3. Chapter 3
4. Chapter 4
5. Chapter 5

Olivia FlorenciasOliveros
JuanJos GonzlezdelaRosa
JosMara SierraFernndez
ManuelJess EspinosaGavira
Agustn AgeraPrez
JosCarlos PalomaresSalas

University of Cdiz
Department of Automation Engineering, Electronics, Architecture and Computer Networks,
Research Group PAIDITIC168. Computational lnstrumentation and Industrial Electronics (ICEI),
Higher Technical School of Engineering of Algeciras (ETSIA), Spain

This edition first published 2023
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The right of Olivia FlorenciasOliveros, JuanJos GonzlezdelaRosa, JosMara SierraFernndez, ManuelJess EspinosaGavira, Agustn AgeraPrez, and JosCarlos PalomaresSalas to be identified as the author of this work has been asserted in accordance with law.

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Library of Congress CataloginginPublication Data
Names: FlorenciasOliveros, Olivia, author.
Title: Power quality measurement and analysis using higherorder statistics : understanding HOS contribution on the smart(er) grid / Olivia FlorenciasOliveros [and five others].
Description: Hoboken, NJ : Wiley, 2023. | Includes bibliographical references and index.
Identifiers: LCCN 2022023836 (print) | LCCN 2022023837 (ebook) | ISBN 9781119747710 (cloth) | ISBN 9781119747765 (adobe pdf) | ISBN 9781119747741 (epub)
Subjects: LCSH: Electric power systemsQuality control. | Order statistics.
Classification: LCC TK1010 .F55 2023(print) | LCC TK1010(ebook) | DDC 621.31dc23/eng/20220722
LC record available at https://lccn.loc.gov/2022023836
LC ebook record available at https://lccn.loc.gov/2022023837

Cover Design: Wiley
Cover Image: Pand P Studio/Shutterstock

To all the researchers that have inspired this work, those working to bridge the gap between signal analysis and power metering

The socalled digital energy networks are gathering numerous elements that have emerged from different branches of Engineering and Science. Concepts such as Internet of Things ( IoT ), Big Data, Smart Cities, Smart Grid and Industry 4.0 all converge together with the goal of working more efficiently, and this fact inevitably leads to Power Quality ( PQ ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines and consequently for people. Many researchers are endeavouring to develop new analysis techniques, instruments, measurement methods and new indices and norms that match and fulfil requirements regarding the current operation of the electrical network. This book offers a compilation of the recent advances in this field. The chapters range from computing issues to technological implementations, going through event detection strategies and new indices and measurement methods that contribute significantly to the advance of PQ analysis. Experiments have been developed within the frames of research units and projects and deal with real data from industry and public buildings. Human beings have an unavoidable commitment to sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.

PQ analysis is evolving continuously, mainly due to the incessant growth and development of the smart grid ( SG ) and the incipient Industry 4.0, which demands quick and accurate tracking of the electrical power dynamics. Much effort has been put on two main issues. First, numerous distributed energy resources and loads provoke highly fluctuating demands that alter the ideal power delivery conditions, introducing at the same time new types of electrical disturbances. For this reason, permanent monitoring is needed in order to track this a priori unpredictable behaviour. Second and consequently, the huge amount of data (Big Data) generated by the measurement equipment during a measurement campaign is usually difficult to manage due to different causes, such as complex structures and communication protocols that hinder accessibility to storage units, and the limited possibilities of monitoring equipment, based on regulations that do not reflect the current network operation.