The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach
Abstract
This paper proposes a simulated annealing (SA) approach to address energy resources management from the point of view of a virtual power player (VPP) operating in a smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on a multiperiod basis according to V2G users' profiles and requirements. Apart from using the aggregated resources, the VPP can also purchase additional energy from a set of external suppliers. The paper includes a case study for a 33 bus distribution network with 66 generators, 32 loads, and 1000 gridable vehicles. The results of the SA approach are compared with a methodology based on mixed-integer nonlinear programming. A variation of this method, using ac load flow, is also used and the results are compared with the SA solution using network simulation. The proposed SA approach proved to be able to obtain good solutions in low execution times, providing VPPs with suitable decision support for the management of a large number of distributed resources.
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Citations
Cites
Optimal Charging Strategies for Unidirectional Vehicle-to-Grid
Sortomme, E., & El-Sharkawi, M. A. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2090910 · Cited by 782
Cited by
Mwasilu, F., Justo, J. J., Kim, E.-K., Do, T. D., & Jung, J.-W. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.03.031 · Cited by 1,162
Data Mining for Internet of Things: A Survey
Tsai, C.-W., Lai, C.-F., Chiang, M.-C., & Yang, L. T. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.103013.00206 · Cited by 620
Energy management system for smart grid: An overview and key issues
Rathor, S. K., & Saxena, D. (2020) · International Journal of Energy Research · doi:10.1002/er.4883 · Cited by 494
Three-Party Energy Management With Distributed Energy Resources in Smart Grid
Tushar, W., Chai, B., Yuen, C., Smith, D. B., Wood, K. L., Yang, Z., & Poor, H. V. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2341556 · Cited by 379
Multi-objective scheduling of electric vehicles in smart distribution system
Zakariazadeh, A., Jadid, S., & Siano, P. (2014) · Energy Conversion and Management · doi:10.1016/j.enconman.2013.11.042 · Cited by 314
Metadata
- Authors
- Sousa, T., Morais, H., Vale, Z., Faria, P., & Soares, J.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2012-03
- Volume
- 3
- Issue
- 1
- Pages
- 535-542
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W1983820316
- Cited by
- 207
- References
- 1
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sousa, T., Morais, H., Vale, Z., Faria, P., & Soares, J. (2012). Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2165303
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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.
