Ana Rafaela Figueiredo Bento;Fernando Bento;Antonio J. Marques Cardoso
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A Review on Hybrid Circuit Breakers for DC Applications
Direct current (dc) power system protection presents a major challenge due to its unique characteristics, namely the absence of natural zero current crossing points. Thanks to their features, dc protection devices allow the safe commutation of the fault current. Selective protection and fast fault isolation are key features that any dc circuit breaker should feature, assuring minimal power outages and the effective protection of sensitive electronic components. To overcome the liabilities of mechanical circuit breakers (MCBs) and solid-state circuit breakers (SSCBs), several novel concepts of hybrid circuit breakers (HCBs) have been proposed over the years, to take advantage of the benefits of both the MCBs and SSCBs. This article presents an up-to-date state-of-the-art on the technologies applied to dc HCBs and describes novel HCB concepts. Design considerations, challenges, and future trends are also discussed.
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.