The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Real Time Operation of Smart Grids via FCN Networks and Optimal Power Flow
Abstract
This paper proposes an Energy Management System for the optimal operation of Smart Grids and Microgrids, using Fully Connected Neuron Networks combined with Optimal Power Flow. An adaptive training algorithm based on Genetic Algorithms, Fuzzy Clustering and Neuron-by-Neuron Algorithms is used for generating new clusters and new neural networks. The proposed approach, integrating Demand Side Management and Active Management Schemes, allows significant enhancements in energy saving, customers' active participation in the open market and exploitation of renewable energy resources. The effectiveness of the proposed Energy Management System and adaptive training algorithm is verified on a 23-bus 11 kV microgrid.
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Citations
Cites
Demand side management: benefits and challenges
Strbac, G. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.09.030 · Cited by 1,702
Cited by
Demand response and smart grids – a survey
Siano, P. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.10.022 · Cited by 2,411
Self-citationReview on Control of DC Microgrids
Meng, L., Shafiee, Q., Ferrari Trecate, G., Karimi, H., Fulwani, D., Lu, X., & Guerrero, J. M. (2017) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2017.2690219 · Cited by 513
Real-Time Energy Management in Microgrids
Shi, W., Li, N., Chu, C.-C., & Gadh, R. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2462294 · Cited by 357
Dynamic Energy Management System for a Smart Microgrid
Venayagamoorthy, G. K., Sharma, R. K., Gautam, P. K., & Ahmadi, A. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2514358 · Cited by 328
Probabilistic hosting capacity for active distribution networks
Al-Saadi, H., Zivanovic, R., & Al-Sarawi, S. F. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2698505 · Cited by 124
Metadata
- Authors
- Siano, P., Cecati, C., Yu, H., & Kolbusz, J.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2012-11
- Volume
- 8
- Issue
- 4
- Pages
- 944-952
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2007734911
- Cited by
- 222
- References
- 1
- FWCI
- 17.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Siano, P., Cecati, C., Yu, H., & Kolbusz, J. (2012). Real Time Operation of Smart Grids via FCN Networks and Optimal Power Flow. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2012.2205391
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
