Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems

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dc.identifier.uri http://dx.doi.org/10.15488/10381
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/10455
dc.contributor.author Männel, Alexander eng
dc.contributor.author Müller, Kevin eng
dc.contributor.author Knöchelmann, Elias eng
dc.contributor.author Ortmaier, Tobias eng
dc.date.accessioned 2021-02-04T10:53:00Z
dc.date.issued 2020
dc.identifier.citation Männel, Alexander; Müller, Kevin; Knöchelmann, Elias; Ortmaier, Tobias: Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems. In: 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE). Piscataway, NJ : IEEE, 2020, S.904-911. DOI: https://doi.org/10.1109/ISIE45063.2020.9152432 eng
dc.description.abstract Many consumers in production plants like industrial robots or tool machines perform repetitive movements, which lead to a cyclic load demand. However, these load profiles can usually only be roughly estimated at the planning stage. Hence, a subsequent online adaptation of the energy distribution is useful for cases, such as balancing between the charging and discharging amount of energy storage systems to improve those lifetime and usage. This paper presents a novel method of online adaptation for the load distribution of production processes within industrial direct current (DC) microgrids. The online load profile cycle recognition was used to adapt the energy distribution among the sources and loads in the DC microgrid. These sources can be inverters, rectifiers, energy storage systems or decentralized power supply units, such as photo voltaic systems. The approach consists of three major points, the load profile cycle recognition, the load profile analysis and the online adaptation of the energy distribution. This solution was tested in simulation and in experiment with a test rig, that contains an inverter and an energy storage system. The results show, that the load profile will be recognized latest from the third cycle and that the imbalance between charging and discharging amounts of the energy storage is less than 0.6% for each cycle after adaptation. eng
dc.language.iso eng eng
dc.publisher Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc.
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. eng
dc.subject Cycle Recognition eng
dc.subject Industrial DC Microgrid eng
dc.subject Energy Storage Systems eng
dc.subject Voltage Droop Control eng
dc.subject Online Adaptation eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau eng
dc.title Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems eng
dc.type conferenceObject eng
dc.type Text eng
dc.relation.doi 10.1109/ISIE45063.2020.9152432
dc.description.version acceptedVersion eng
tib.accessRights frei zug�nglich eng


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