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DOI | 10.1016/j.rser.2023.113229 |
IntelliSense technology in the new power systems | |
Xie, Haonan; Jiang, Meihui; Zhang, Dongdong; Goh, Hui Hwang; Ahmad, Tanveer; Liu, Hui; Liu, Tianhao; Wang, Shuyao; Wu, Thomas | |
发表日期 | 2023 |
ISSN | 1364-0321 |
EISSN | 1879-0690 |
卷号 | 177 |
英文摘要 | The energy and climate crises have accelerated the decarbonization of electric power systems. An important part of this decarbonization process, along with the incorporation of renewable and alternative energies, is the emergence of Carbon-neutral, intelligent systems technologies, coupled with digital transformation. These have brought new dynamics to the electric power systems transformation. Significant amounts of renewable energy, massive power electronics, changes in market planning, policy influence, demand response, and emerging technologies all become the essential components of new power systems, bringing remarkable changes to this new power systems' enabling technologies: IntelliSense. A novel IntelliSense framework driven by new power system requirements is proposed. The development status, classification characteristics, the application of intelligent sensors, intelligent sensor flexible charging, and multisource plus multidimensional big data processing are all discussed in detail. They are interspersed with discussions of critical features of new power systems, the uncertainties inherent in big data about power, wireless power transfer technologies, edge-fog-cloud collaborative computing, intelligent algorithms, and other core elements of IntelliSense. Finally, ten core IntelliSense technology challenges and five major future opportunities are summarized and are expected to serve as a reference and spark new ideas for low-carbon power system development. |
英文关键词 | New power systems; Smart grid; Carbon neutrality; Renewable energy; Intelligent sensors; Wireless power transfer; Power big data |
语种 | 英语 |
WOS研究方向 | Green & Sustainable Science & Technology ; Energy & Fuels |
WOS类目 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000950207700001 |
来源期刊 | RENEWABLE & SUSTAINABLE ENERGY REVIEWS |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/281356 |
作者单位 | Guangxi University; Guangxi University; University of Hong Kong; University of Tennessee System; University of Tennessee Knoxville; Guangxi University |
推荐引用方式 GB/T 7714 | Xie, Haonan,Jiang, Meihui,Zhang, Dongdong,et al. IntelliSense technology in the new power systems[J],2023,177. |
APA | Xie, Haonan.,Jiang, Meihui.,Zhang, Dongdong.,Goh, Hui Hwang.,Ahmad, Tanveer.,...&Wu, Thomas.(2023).IntelliSense technology in the new power systems.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,177. |
MLA | Xie, Haonan,et al."IntelliSense technology in the new power systems".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 177(2023). |
条目包含的文件 | 条目无相关文件。 |
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