Nakiganda, AM orcid.org/0000-0003-3017-5525, Dehghan, S and Aristidou, P orcid.org/0000-0003-4429-0225 (2020) Enhancing Microgrid Resilience and Survivability under Static and Dynamic Islanding Constraints. In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 Oct 2020, The Hague, Netherlands. IEEE , pp. 539-543. ISBN 9781728171005
Abstract
Microgrids (MGs) are usually characterised by reduced inertia that can lead to large transients after an unintentional islanding event. These transients can result in cascaded device disconnections, triggered by protections, leading to partial of full loss of load in the MG. In this paper, we propose a MG operational planning model for grid-connected operation, enhanced with fault-triggered islanding conditions that ensure the MG survivability (both transient and steady-state) after islanding. We consider the dynamic frequency behaviour after islanding using a non-linear frequency response model and incorporating the associated constraints in the multi-stage, mixed-integer, linear model of the planning problem. Specifically, we include limits on the maximum rate of change of frequency, frequency nadir, and the steady-state frequency deviation. Moreover, to solve this operational planning problem, we propose an iterative solution algorithm that ensures reliable frequency response, selfsufficiency, and optimal operation. Finally, we employ the CIGRE low-voltage distribution network to demonstrate the effectiveness of the proposed method and its suitability in ensuring the reliability, survivability, and resilience of a MG.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Jun 2021 11:04 |
Last Modified: | 25 Jun 2023 22:41 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/isgt-europe47291.2020.9248821 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175189 |