ORCID Profile
0000-0002-6653-107X
Current Organisation
Murdoch University
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: IEEE
Date: 11-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2020
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 2016
Publisher: MDPI AG
Date: 17-05-2018
DOI: 10.3390/EN11051283
Publisher: IEEE
Date: 11-2016
Publisher: IEEE
Date: 08-2010
Publisher: Elsevier BV
Date: 09-2021
Publisher: IEEE
Date: 07-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 05-2015
Publisher: MDPI AG
Date: 02-08-2023
DOI: 10.3390/EN16155774
Abstract: A microgrid (MG) is always prone to the uncertainties of its demand variation and the generation of its non-dispatchable renewable sources when operating in islanded mode. Such variation events can lead to the voltage or frequency (VF) violation in the MG. However, there are some techniques available in the literature that can predict these events a few minutes ahead. Using such techniques, the VF violation can also be predicted and prevented with the introduction of a suitable preventive controller. Hence, this paper proposes a look-ahead controller that uses the short-horizon prediction data of demand and renewable generation to determine any prospective VF violation. If a violation is predicted, the proposed technique will aim to define the most optimal generation level of dispatchable sources, the MG’s best network configuration and the engagement level of the supportive actions, such as exchanging power with neighboring microgrids, utilizing energy storages, a demand response and renewable energy curtailment (if and when available). The technical, reliability and environmental aspects of the MG are considered within the proposed technique along with the operational cost. The determined optimal control variables are then sent to the local controllers to apply the proper arrangements in the system to retain the VF within the desired range. The performance of the developed technique is validated through extensive numerical analyses in MATLAB.
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 2016
Publisher: IEEE
Date: 07-2010
Publisher: IEEE
Date: 07-2010
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2020
Publisher: IEEE
Date: 11-2016
No related grants have been discovered for Md. Asaduzzaman Shoeb.