Hans, Christian and Sopasakis, Pantelis and Bemporad, Alberto and Jörg, Raisch and Reincke-Collon, Carsten Scenario-Based Model Predictive Operation Control of Islanded Microgrids. In: 54th IEEE Conference on Decision and Control, 15-18 December, 2015, Osaka, Japan pp. 3272-3277. ISBN 978-1-4799-7884-7. (2015)
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Abstract
We propose a model predictive control (MPC) approach for the operation of islanded microgrids that takes into account the stochasticity of wind and load forecasts. In comparison to worst case approaches, the probability distribution of the prediction is used to optimize the operation of the microgrid, leading to less conservative solutions. Suitable models for time series forecast are derived and employed to create scenarios. These scenarios and the system measurements are used as inputs for a stochastic MPC, wherein a mixed-integer problem is solved to derive the optimal controls. In the provided case study, the stochastic MPC yields an increase of wind power generation and decrease of conventional generation.
| Item Type: | Conference or Workshop Item (Speech) |
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| Identification Number: | https://doi.org/10.1109/CDC.2015.7402711 |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Users 44 not found. |
| Date Deposited: | 22 Oct 2015 13:39 |
| Last Modified: | 04 May 2016 10:15 |
| URI: | http://eprints.imtlucca.it/id/eprint/2780 |
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