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A Microgrid Energy Management System Based on the Rolling Horizon Strategy
Open accessAbstract
A novel energy management system (EMS) based on a rolling horizon (RH) strategy for a renewable-based microgrid is proposed. For each decision step, a mixed integer optimization problem based on forecasting models is solved. The EMS provides online set points for each generation unit and signals for consumers based on a demand-side management (DSM) mechanism. The proposed EMS is implemented for a microgrid composed of photovoltaic panels, two wind turbines, a diesel generator and an energy storage system. A coherent forecast information scheme and an economic comparison framework between the RH and the standard unit commitment (UC) are proposed. Solar and wind energy forecasting are based on phenomenological models with updated data. A neural network for two-day-ahead electric consumption forecasting is also designed. The system is tested using real data sets from an existent microgrid in Chile (ESUSCON). The results based on different operation conditions show the economic sense of the proposal. A full practical implementation of the system for ESUSCON is envisioned.
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Cited by
Olivares, D. E., Mehrizi-Sani, A., Etemadi, A. H., Canizares, C. A., Iravani, R., Kazerani, M., Hajimiragha, A. H., Gomis-Bellmunt, O., Saeedifard, M., Palma-Behnke, R., et al. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2295514 · Cited by 3,137
Self-citationMulticlass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences
Morstyn, T., & McCulloch, M. D. (2019) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2018.2834472 · Cited by 533
Review 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
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
Meng, F., Lu, Z., Li, X., Han, W., Peng, J., Liu, X., & Niu, Z. (2024) · Energy · doi:10.1016/j.energy.2024.130303 · Cited by 43
Metadata
- Authors
- Palma-Behnke, R., Benavides, C., Lanas, F., Severino, B., Reyes, L., Llanos, J., & Sáez, D.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2013-06
- Volume
- 4
- Issue
- 2
- Pages
- 996-1006
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W1980364886
- Cited by
- 771
- References
- 0
- FWCI
- 79.79
- Type
- journal article
- Language
- en
- Open access
- green
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- Palma-Behnke, R., Benavides, C., Lanas, F., Severino, B., Reyes, L., Llanos, J., & Sáez, D. (2013). A Microgrid Energy Management System Based on the Rolling Horizon Strategy. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2012.2231440
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