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IntelliSense technology in the new power systems.
- Source :
-
Renewable & Sustainable Energy Reviews . May2023, Vol. 177, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- 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. • This paper summarizes the state-of-the-art research on IntelliSense in NPS. • A novel technology-driven framework is proposed for the key role of IntelliSense in NPS. • New features of NPS are discussed, as well as their impact on IntelliSense. • The challenges and future directions for IntelliSense of NPS are discussed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13640321
- Volume :
- 177
- Database :
- Academic Search Index
- Journal :
- Renewable & Sustainable Energy Reviews
- Publication Type :
- Academic Journal
- Accession number :
- 162391191
- Full Text :
- https://doi.org/10.1016/j.rser.2023.113229