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Titel: PV-Battery-Diesel microgrid layout design based on stochastic optimization
VerfasserIn: Hijjo, Mohammed
Felgner, Felix
Frey, Georg
Sprache: Englisch
Titel: Renewable energy resources impact : 2017 6th International Conference on Clean Electrical Power (ICCEP) : Santa Margherita Ligure, 27-29 June 2017
Startseite: 30
Endseite: 35
Verlag/Plattform: IEEE
Erscheinungsjahr: 2017
Erscheinungsort: Piscataway
Konferenzort: Santa Margherita Ligure, Italy
Freie Schlagwörter: Batteries
Generators
Microgrids
Optimization
Energy management
Fuels
Mathematical model
DDC-Sachgruppe: 600 Technik
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: This work presents a layout design method for a grid-connected PV-Battery-Diesel microgrid considering the effect of the applied power management strategy among the system's components. The proposed microgrid is dedicated to those areas in the world which suffer from prolonged grid outages and depend mainly on diesel generators to cover the periods of power deficit. Conventionally, such hybrid microgrids are designed assuming two prime impractical hypotheses: namely, a full utilization of the generated power from renewable resources, and no losses due to power conversion among DC/AC buses; both hypotheses lead to specifically optimistic and encouraging results from an economic point of view. In addition, many approaches do not include the energy management scheme during optimization. By contrast, the layout herein is optimized taking into account a developed rule-based energy management (EM) scheme and realistic power conversion efficiencies, which together play the key role in determining the realistic percentage of utilized renewable energy. The optimization algorithm employs a Genetic Algorithm (GA), which is one of the metaheuristic stochastic optimization techniques that can provide a solution to an optimization problem with less computational effort than iterative ones. The simulations are carried out using a typical load profile of a hospital in Gaza Strip over a one-year period.
DOI der Erstveröffentlichung: 10.1109/ICCEP.2017.8004787
URL der Erstveröffentlichung: https://ieeexplore.ieee.org/document/8004787
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-366234
hdl:20.500.11880/33267
http://dx.doi.org/10.22028/D291-36623
ISBN: 978-1-5090-4682-9
978-1-5090-4683-6
Datum des Eintrags: 5-Jul-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Georg Frey
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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