Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive book that discusses efficient diagnosis of power system faults to reduce outage duration and revenue losses. It illustrates intelligent fault diagnosis schemes for power system networks, including modeling, feature extraction, and techniques such as artificial intelligence, with consideration of uncertainty in line parameters, fault information, load demand, renewable energy generation, and measurement noises.

Format: Paperback / softback
Length: 428 pages
Publication date: 20 January 2022
Publisher: Elsevier - Health Sciences Division

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive exploration of the escalating interests in efficient diagnosis of power system faults to minimize outage duration and revenue losses by expediting the restoration process. This book provides a detailed overview of intelligent fault diagnosis schemes for power system networks, encompassing both transmission and distribution levels, utilizing data acquired from phasor measurement units. It systematically presents the power grid modeling, fault modeling, feature extraction processes, and diverse fault diagnosis techniques, including artificial intelligence techniques, in a step-by-step manner. Additionally, the book incorporates the uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises.

The increasing demand for reliable and efficient power systems has driven the development of advanced fault diagnosis techniques. Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach offers a comprehensive guide to these techniques, highlighting their significance in reducing outage duration and enhancing revenue generation. By leveraging data acquired from phasor measurement units, the book illustrates intelligent fault diagnosis schemes for power system networks at both transmission and distribution levels. It delves into the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques.

One of the key aspects of the book is its consideration of uncertainty associated with line parameters, fault information, load demand, renewable energy generation, and measurement noises. These factors can significantly impact the accuracy and reliability of fault diagnosis, making it essential to address them in the development of effective algorithms. The book provides detailed explanations and examples to illustrate these concepts, making it accessible to a wide range of readers, including researchers, engineers, and practitioners in the power industry.

In conclusion, Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a valuable resource for anyone interested in advancing the field of power system fault diagnosis. By providing a comprehensive overview of intelligent fault diagnosis schemes, the book enables readers to gain a deeper understanding of the challenges and opportunities associated with this critical aspect of power system operations. With its emphasis on uncertainty management and practical applications, the book is poised to contribute significantly to the development of more resilient and efficient power systems.

Weight: 688g
Dimension: 229 x 188 x 25 (mm)
ISBN-13: 9780323884297