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

Md Shafiullah (King Fahd University of Petroleum and Minerals, Saudi Arabia),M. A. Abido (King Fahd University of Petroleum and Minerals, Saudi Arabia),A. H. Al-Mohammed (Manager, E&D-EOA, National Grid SA, a subsidiary of the Saudi Electricity Company, Dammam, Saudi Arabia),M. A. Abido (King Fahd University of Petroleum and Minerals, Saudi Arabia),A. H. Al-Mohammed (Saudi Electricity Company, Saudi Arabia)

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach
Format
Paperback
Publisher
Elsevier - Health Sciences Division
Country
United States
Published
20 January 2022
Pages
428
ISBN
9780323884297

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

Md Shafiullah (King Fahd University of Petroleum and Minerals, Saudi Arabia),M. A. Abido (King Fahd University of Petroleum and Minerals, Saudi Arabia),A. H. Al-Mohammed (Manager, E&D-EOA, National Grid SA, a subsidiary of the Saudi Electricity Company, Dammam, Saudi Arabia),M. A. Abido (King Fahd University of Petroleum and Minerals, Saudi Arabia),A. H. Al-Mohammed (Saudi Electricity Company, Saudi Arabia)

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive overview of the growing interests in efficient diagnosis of power system faults to reduce outage duration and revenue losses by expediting the restoration process. This book illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from phasor measurement units. It presents the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques, in steps. The book also incorporates uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises.

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