Md Shafiullah

Intelligent Management of Energy Systems provides a holistic overview of the opportunities for utilising artificial intelligence to optimize modern energy systems, including system dynamics, components, and business perspectives. This book begins with an overview of energy system dynamics, followed by detailed step-by-step breakdowns of critical artificial intelligence and machine learning techniques, as well as methods for assessing greenhouse-gas emissions. Further chapters spotlight microgrids, high-voltage testing for essential components such as circuit breakers and transformers, and perspectives from business and social disciplines. Designed for students, engineers, and researchers, Intelligent Management of Energy Systems combines clear, foundational methodologies, technical implementation, and business perspectives: a robust toolkit for AI utilization in energy system optimization.

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.