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dc.contributor.authorSegundo Sevilla, Felix Rafael-
dc.contributor.authorPark, Chan-
dc.contributor.authorKnazkins, Valerijs-
dc.contributor.authorKorba, Petr-
dc.date.accessioned2017-12-13T14:51:58Z-
dc.date.available2017-12-13T14:51:58Z-
dc.date.issued2016-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/1772-
dc.description.abstractIn this work an algorithm to control the power flow of an electric power system with two integrated energy storage systems is investigated. The power system under consideration consists of a conventional distribution feeder that supplies the power to satisfy the customers’ demand, a set of photovoltaic (PV) panels that also contribute to the power generation, one unit of Lithium-Ion battery storage for the intra-day use and a combined power-to-gas (PtG) and gas-to-power installation that converts the power excess in the summertime into hydrogen and injects power back to the system in the wintertime. The proposed control algorithm is based on model predictive control tailored for the energy system under investigation. To demonstrate the performance of the proposed control, a set of synthetic PV and demand profiles representing future conditions in Switzerland were created and used as input data to the system model. The synthesized generation and consumption data span a whole year of operation. A number of detailed simulations performed in the framework of the study reported in this paper demonstrate the effectiveness of the proposed control algorithm and provided invaluable insights into the optimum operation of the complex integrated power system.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectEnergy storage systemsde_CH
dc.subjectModel predictive controlde_CH
dc.subjectOptimal power flowde_CH
dc.subject.ddc621.04: Energietechnikde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleModel predictive control of energy systems with hybrid storagede_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Energiesysteme und Fluid-Engineering (IEFE)de_CH
zhaw.conference.detailsIEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
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Segundo Sevilla, F. R., Park, C., Knazkins, V., & Korba, P. (2016). Model predictive control of energy systems with hybrid storage. IEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016.
Segundo Sevilla, F.R. et al. (2016) ‘Model predictive control of energy systems with hybrid storage’, in IEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016.
F. R. Segundo Sevilla, C. Park, V. Knazkins, and P. Korba, “Model predictive control of energy systems with hybrid storage,” in IEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016, 2016.
SEGUNDO SEVILLA, Felix Rafael, Chan PARK, Valerijs KNAZKINS und Petr KORBA, 2016. Model predictive control of energy systems with hybrid storage. In: IEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016. Conference presentation. 2016
Segundo Sevilla, Felix Rafael, Chan Park, Valerijs Knazkins, and Petr Korba. 2016. “Model Predictive Control of Energy Systems with Hybrid Storage.” Conference presentation. In IEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016.
Segundo Sevilla, Felix Rafael, et al. “Model Predictive Control of Energy Systems with Hybrid Storage.” IEEE PES General Meeting 2016, Boston, USA, 17-21 July 2016, 2016.


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