The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid
Abstract
This article provides a survey on state estimation (SE) in electric power grids and examines the impact on SE of the technological changes being proposed as a part of the smart grid development. Although SE at the transmission level has a long history, further research and development of innovative SE schemes, including those for distribution systems, are needed to meet the new challenges presented by the requirements of the future grid. This article also presents some example topics that signal processing (SP) research can contribute to help meet those challenges.
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Citations
Cites
A reliability perspective of the smart grid
Moslehi, K., & Kumar, R. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2046346 · Cited by 932
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A survey of data fusion in smart city applications
Lau, B. P. L., Marakkalage, S. H., Zhou, Y., Hassan, N. U., Yuen, C., Zhang, M., & Tan, U.-X. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.05.004 · Cited by 320
State of the art of cyber-physical systems security: An automatic control perspective
Zacchia Lun, Y., D’Innocenzo, A., Smarra, F., Malavolta, I., & Di Benedetto, M. D. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2018.12.006 · Cited by 211
Metadata
- Authors
- Huang, Y.-F., Werner, S., Huang, J., Kashyap, N., & Gupta, V.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2012-09
- Volume
- 29
- Issue
- 5
- Pages
- 33-43
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W1977851207
- Cited by
- 450
- References
- 1
- FWCI
- 19.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Huang, Y.-F., Werner, S., Huang, J., Kashyap, N., & Gupta, V. (2012). State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2012.2187037
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
