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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

©SHUTTERSTOCK.COM/NICOELNINO

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 engineering and science, the machine learning (ML)-based schemes have exhibited outstanding performance. Considering abundance of data in the PEDG, ML- based approaches illustrate promising potential to be adopted in this new energy paradigm. Similarly, the ML- inspired approaches have been attracting many researchers in power electronics and power systems fields, who are trying to solve the challenges posed by the PEDG concept. This article presents cutting-edge ML applications in the PEDG and provides a futuristic research roadmap.

For more about this article see link below.

To access the PDF version of this article, member sign-in is required.

https://ieeexplore.ieee.org/document/9359837

Filed Under: Past Features Tagged With: Machine learning, Performance evaluation, Power electronics, Power system reliability, Power system stability, Reliability, Resilience

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About the Magazine

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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To educate, inform, and entertain our community of IEEE Power Electronics Society members on technology, events, industry news, and general topics relating to consumer electronics and to further serve and support our Members in professional career development through tutorials and raising awareness of engineering tools and technologies.

The magazine is archived in IEEE Xplore, and articles from all issues are available for download.

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