Power Quality Measurement and Analysis Using Higher-Order Statistics: Understanding Hos Contribution on the Smart(er) Grid (Hardcover) (ISBN-13: 9781119747710)

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Power quality (PQ) in electrotechnical systems refers to a set of characteristics related to the movement of energy and the delivery of voltage to consumers in the highest standard. As electricity networks change and adapt to new technologies and concepts of energy within a future Smart Grid, it has become clear that standardized methods by which stability and accuracy of electrical service along a network are currently measured are no longer enough to solve inherent issues in service and ensure established requirements are met.

Power Quality Measurement and Analysis using Higher-Order Statistics reflects the latest information related to PQ (Power Quality) analysis solutions, particularly that related to the implementation of new quality indices in the domain of higher-order statistics (HOS). The authors--noted experts on the topic--carefully address the detection of PQ problems from two perspectives: the detection of specific events that occur on networks in isolation and continuous monitoring detection. In doing so, the authors demonstrate the use of HOS in current waveform models, enabling the characterization of different power circuit topologies and loads. This book thereby expertly explores the benefits of using HOS, bridging the gap between signal processing and power, and building a better understanding for readers.

Power Quality Measurement and Analysis using Higher-Order Statistics readers will also find:

• A unique methodology for PQ analysis through its combination of HOS and PQ monitoring
• A proposal for new measurement solutions that can be easily implemented into modern instrumentation
• The detection of PQ problems from multiple perspectives
• The use of HOS in current waveform models, which enables the characterization of different power circuit topologies and loads

Pitched at a specialized level, Power Quality Measurement and Analysis is an essential reference for researchers, academics, and industry insiders, as well as advanced students in this field.

Author: Olivia Florencias-Oliveros, Juan-José González-De-La-Rosa, José-María Sierra-Fernández
ISBN-10: 1119747716
ISBN-13: 9781119747710
Publisher: Wiley-IEEE Press
Language: English
Published: 11/21/2022
Pages: 192
Format: Hardcover
Weight: 0.94lbs
Size: 9.00h x 6.00w x 0.50d