Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Load shedding frequency management of microgrids using hierarchical fuzzy control
Autor/-in: Keivanimehr, Mehran
Chamorro, Harold R.
Zareian-Jahromi, Mehdi
Segundo Sevilla, Felix Rafael
Guerrero, Josep M.
Konstantinou, Charalambos
et. al: No
DOI: 10.23919/WAC50355.2021.9559468
Tagungsband: Proceedings of the Biannual World Automation Congress 2021
Seite(n): 216
Seiten bis: 221
Angaben zur Konferenz: World Automation Congress (WAC), online, 1-5 August 2021
Erscheinungsdatum: 2021
Verlag / Hrsg. Institution: IEEE
ISBN: 978-1-68524-111-7
Sprache: Englisch
Schlagwörter: Smart microgrid; Load frequency control; Hierarchical fuzzy control; Distributed generation; Load shedding
Fachgebiet (DDC): 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik
Zusammenfassung: Frequency control is one important issue in autonomous operating mode of Microgrids (MGs). In stand-alone microgrids, when generation power is not enough, it is inevitable to shed some parts of the load. This paper presents a decentralized fuzzy controller for optimal load shedding in MGs. The proposed controller which is separately installed for each load center uses a hierarchical fuzzy controller approach to make the optimal decision. Three inputs of the hierarchical fuzzy controller are the power of non-critical load, the load energy not supplied and its interruption frequency. From a specific time of the past, these inputs are calculated for all load centers, and updated periodically. The non-critical part of the loads which can be shed to survive network. Each decentralized controller of the loads has a bilateral communication with the microgrid central controller to transact some information, periodically. Simulation results on a typical microgrid with several load buses showing the effectiveness of the proposed method.
URI: http://hdl.handle.net/10754/672839
https://digitalcollection.zhaw.ch/handle/11475/23802
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Energiesysteme und Fluid-Engineering (IEFE)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Keivanimehr, M., Chamorro, H. R., Zareian-Jahromi, M., Segundo Sevilla, F. R., Guerrero, J. M., & Konstantinou, C. (2021). Load shedding frequency management of microgrids using hierarchical fuzzy control [Conference paper]. Proceedings of the Biannual World Automation Congress 2021, 216–221. https://doi.org/10.23919/WAC50355.2021.9559468
Keivanimehr, M. et al. (2021) ‘Load shedding frequency management of microgrids using hierarchical fuzzy control’, in Proceedings of the Biannual World Automation Congress 2021. IEEE, pp. 216–221. Available at: https://doi.org/10.23919/WAC50355.2021.9559468.
M. Keivanimehr, H. R. Chamorro, M. Zareian-Jahromi, F. R. Segundo Sevilla, J. M. Guerrero, and C. Konstantinou, “Load shedding frequency management of microgrids using hierarchical fuzzy control,” in Proceedings of the Biannual World Automation Congress 2021, 2021, pp. 216–221. doi: 10.23919/WAC50355.2021.9559468.
KEIVANIMEHR, Mehran, Harold R. CHAMORRO, Mehdi ZAREIAN-JAHROMI, Felix Rafael SEGUNDO SEVILLA, Josep M. GUERRERO und Charalambos KONSTANTINOU, 2021. Load shedding frequency management of microgrids using hierarchical fuzzy control. In: Proceedings of the Biannual World Automation Congress 2021 [online]. Conference paper. IEEE. 2021. S. 216–221. ISBN 978-1-68524-111-7. Verfügbar unter: http://hdl.handle.net/10754/672839
Keivanimehr, Mehran, Harold R. Chamorro, Mehdi Zareian-Jahromi, Felix Rafael Segundo Sevilla, Josep M. Guerrero, and Charalambos Konstantinou. 2021. “Load Shedding Frequency Management of Microgrids Using Hierarchical Fuzzy Control.” Conference paper. In Proceedings of the Biannual World Automation Congress 2021, 216–21. IEEE. https://doi.org/10.23919/WAC50355.2021.9559468.
Keivanimehr, Mehran, et al. “Load Shedding Frequency Management of Microgrids Using Hierarchical Fuzzy Control.” Proceedings of the Biannual World Automation Congress 2021, IEEE, 2021, pp. 216–21, https://doi.org/10.23919/WAC50355.2021.9559468.


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