Journal
NANO ENERGY
Volume 118, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.nanoen.2023.108959
Keywords
Power metaverse; Smart grids; Micro sensors; Current sensors; Energy harvesting; Self -powered
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Power metaverse and smart grids are the future of power systems, using massive distributed sensors with various features for electricity data acquisition. Recent interdisciplinary convergence of technologies has led to significant breakthroughs in self-powered, micro sensors. While there have been summaries in other fields, there is currently no relevant review paper for power grids. This paper reviews the progress and practical applications of self-powered, multi-parameter and micro sensor technologies in power metaverse and smart grids, discussing energy harvesting methods, challenges, and future perspectives.
Power metaverse and smart grids are the future of power systems, with a focus on intelligence, digitization, and informatization. Their foundation is electricity data acquisition by massive distributed sensors with features such as multi-parameter, miniaturization, high precision, self-powered, wireless transmission, and high reliability. The significant advances in high-performance, self-powered, micro sensors are achieved over recent years through the interdisciplinary convergence of nanotechnologies, MEMS technologies, and electronics. Although there have been several summaries of self-powered sensors in areas such as medical health, smart cities, and smart agriculture, there is currently no relevant review paper for power grids. Therefore, this paper first reviews the recent progress and practical applications of self-powered, multi-parameter and micro sensor technologies for power metaverse and smart grids. The review systematically presents the milestone progress in micro electrical and environmental sensing technologies, discusses energy harvesting methods suitable for power grids, elaborates on the applications of self-powered micro sensor systems in the power grids, and puts forward the challenges and future perspectives to construct smart grids based on self-powered multi-parameter sensors.
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