Publication type: Conference paper
Type of review: Peer review (publication)
Title: Load shedding frequency management of microgrids using hierarchical fuzzy control
Authors: 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
Proceedings: Proceedings of the Biannual World Automation Congress 2021
Page(s): 216
Pages to: 221
Conference details: World Automation Congress (WAC), online, 1-5 August 2021
Issue Date: 2021
Publisher / Ed. Institution: IEEE
ISBN: 978-1-68524-111-7
Language: English
Subjects: Smart microgrid; Load frequency control; Hierarchical fuzzy control; Distributed generation; Load shedding
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: 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
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show full item record
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.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.