Resilience

Towards Intelligent Power Electronics-Dominated Grid via Machine Learning Techniques

March 1, 2021 by Omar H. Abu-Rub, Amin Y. Fard, Muhammad Farooq Umar, Mohsen Hosseinzadehtaher, and Mohammad B. Shadmand

Nowadays, to meet the vision of employing 100% renewable-based electricity generation, the conventional power system is evolving into power electronics-dominated grid (PEDG). This transition leads to an amplified complexity and significance for device and system-level control schemes to maintain resiliency, reliability, and operational stability. Recently, in various fields of … [Read more...] about Towards Intelligent Power Electronics-Dominated Grid via Machine Learning Techniques

IEEE Power Electronics Magazine publishes peer-reviewed articles related to power electronics and its applications which encompass the effective use of electronic components, application of control theory and circuit design techniques, and the development of analytical tools used in efficient and effective energy conversion, control, utilization, and conditioning of electric power.

The IEEE Power Electronics Magazine is limited to the field of interest of the IEEE Power Electronics Society. Topics also include publication of new trend technologies that are being pursued by industry, design practices and case studies, significant amount of state of the art surveys tutorials, and non-technical contributions: news about society activities, interviews, and historical articles.

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