eprintid: 2780 rev_number: 13 eprint_status: archive userid: 44 dir: disk0/00/00/27/80 datestamp: 2015-10-22 13:39:05 lastmod: 2016-05-04 10:15:53 status_changed: 2015-10-22 13:39:05 type: conference_item metadata_visibility: show creators_name: Hans, Christian creators_name: Sopasakis, Pantelis creators_name: Bemporad, Alberto creators_name: Jörg, Raisch creators_name: Reincke-Collon, Carsten creators_id: hans@control.tu-berlin.de creators_id: pantelis.sopasakis@imtlucca.it creators_id: alberto.bemporad@imtlucca.it creators_id: raisch@control.tu-berlin.de creators_id: title: Scenario-Based Model Predictive Operation Control of Islanded Microgrids ispublished: pub subjects: QA subjects: QA75 subjects: T1 subjects: TK divisions: CSA full_text_status: public pres_type: speech 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. date: 2015 date_type: published publisher: IEEE pagerange: 3272-3277 event_title: 54th IEEE Conference on Decision and Control event_location: Osaka, Japan event_dates: 15-18 December, 2015 event_type: conference id_number: 10.1109/CDC.2015.7402711 refereed: TRUE isbn: 978-1-4799-7884-7 book_title: IEEE Conference on Decision and Control official_url: http://dx.doi.org/10.1109/CDC.2015.7402711 citation: 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) document_url: http://eprints.imtlucca.it/2780/1/HSBRR2015.pdf