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A Model Predictive Control Approach to Microgrid Operation Optimization
Open accessAbstract
Microgrids are subsystems of the distribution grid, which comprises generation capacities, storage devices, and controllable loads, operating as a single controllable system either connected or isolated from the utility grid. In this paper, we present a study on applying a model predictive control approach to the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. The overall problem is formulated using mixed-integer linear programming (MILP), which can be solved in an efficient way by using commercial solvers without resorting to complex heuristics or decompositions techniques. Then, the MILP formulation leads to significant improvements in solution quality and computational burden. A case study of a microgrid is employed to assess the performance of the online optimization-based control strategy and the simulation results are discussed. The method is applied to an experimental microgrid located in Athens, Greece. The experimental results show the feasibility and the effectiveness of the proposed approach.
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Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Cited by
Energy Management and Optimization Methods for Grid Energy Storage Systems
Byrne, R. H., Nguyen, T. A., Copp, D. A., Chalamala, B. R., & Gyuk, I. (2018) · IEEE Access · doi:10.1109/access.2017.2741578 · Cited by 406
Shan, Y., Hu, J., Chan, K. W., Fu, Q., & Guerrero, J. M. (2019) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2018.2873390 · Cited by 283
Cox, S. J., Kim, D., Cho, H., & Mago, P. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.01.093 · Cited by 157
Pippia, T., Sijs, J., & De Schutter, B. (2020) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2019.2945023 · Cited by 58
Metadata
- Authors
- Parisio, A., Rikos, E., & Glielmo, L.
- Venue
- IEEE Transactions on Control Systems Technology
- Published
- 2014-09
- Volume
- 22
- Issue
- 5
- Pages
- 1813-1827
- ISSN
- 1063-6536 (ISSN-L)
- 1558-0865
- 2374-0159
- OpenAlex
- W2080048739
- Cited by
- 929
- References
- 1
- FWCI
- 65.88
- Type
- journal article
- Language
- en
- Open access
- green
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- Parisio, A., Rikos, E., & Glielmo, L. (2014). A Model Predictive Control Approach to Microgrid Operation Optimization. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2013.2295737
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