The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources
Abstract
Renewable energy resources such as wind and solar are an important component of a microgrid. However, the inherent intermittency and variability of such resources complicates microgrid operations. Meanwhile, more controllable loads (e.g., plug-in electric vehicles), distributed generators (e.g., micro gas turbines and diesel generators), and distributed energy storage devices (e.g., battery banks) are being integrated into the microgrid operation. To address the operational challenges associated with these technologies and energy resources, this paper formulates a stochastic problem for microgrid energy scheduling. The proposed problem formulation minimizes the expected operational cost of the microgrid and power losses while accommodating the intermittent nature of renewable energy resources. Case studies are performed on a modified IEEE 37-bus test feeder. The simulation results demonstrate the effectiveness and accuracy of the proposed stochastic microgrid energy scheduling model.
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Cites
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Birge, J. R., & Louveaux, F. (2011) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/978-1-4614-0237-4 · Cited by 6,469
Robust Unit Commitment With Wind Power and Pumped Storage Hydro
Jiang, R., Wang, J., & Guan, Y. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2169817 · Cited by 941
Self-citationSmart energy management system for optimal microgrid economic operation
Chen, C., Duan, S., Cai, T., Liu, B., & Hu, G. (2011) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2010.0052 · Cited by 921
A Survey on the Electrification of Transportation in a Smart Grid Environment
Su, W., Eichi, H., Zeng, W., & Chow, M.-Y. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2172454 · Cited by 811
Self-citationMultiobjective Intelligent Energy Management for a Microgrid
Chaouachi, A., Kamel, R. M., Andoulsi, R., & Nagasaka, K. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2188873 · Cited by 657
From probabilistic forecasts to statistical scenarios of short‐term wind power production
Pinson, P., Madsen, H., Nielsen, H. A., Papaefthymiou, G., & Klöckl, B. (2009) · Wind Energy · doi:10.1002/we.284 · Cited by 537
Modeling of the Cost of EV Battery Wear Due to V2G Application in Power Systems
Zhou, C., Qian, K., Allan, M., & Zhou, W. (2011) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2011.2159977 · Cited by 495
Su, W., & Chow, M.-Y. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2151888 · Cited by 338
Self-citationEnergy Management Systems in Microgrid Operations
Su, W., & Wang, J. (2012) · The Electricity Journal · doi:10.1016/j.tej.2012.09.010 · Cited by 277
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Cited by
Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzalez, S., & Wattam, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109899 · Cited by 656
Wali, S. B., Hannan, M. A., Reza, M. S., Ker, P. J., Begum, R. A., Rahman, M. S. A., & Mansor, M. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102296 · Cited by 149
Metadata
- Authors
- Su, W., Wang, J., & Roh, J.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2014-07
- Volume
- 5
- Issue
- 4
- Pages
- 1876-1883
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2013227046
- Cited by
- 734
- References
- 18
- FWCI
- 50.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
