Impact of uncertainties on resilient operation of microgrids: A data-driven approach

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Title: Impact of uncertainties on resilient operation of microgrids: A data-driven approach
Authors: Hussain, A
Rousis, AO
Konstantelos, I
Strbac, G
Jeon, J
Kim, H-M
Item Type: Journal Article
Abstract: In this paper, the impact of uncertainties in loads, renewable generation, market price signals, and event occurrence time on the feasible islanding and survivability of microgrids is analyzed. A data-driven approach is proposed for estimating the maximum deviation level of uncertain parameters dynamically based on historical data. Similarly, fragility curves are utilized for determining the preparation time for the potential events based on the estimated event occurrence time and physical constraints of the microgrid components. In addition, a resilience-oriented demand response program is proposed for enhancing the utilization of renewables and other available resources for reducing the load shedding during the emergency period. Finally, a resilience index is proposed for quantifying the benefits of the proposed method for the resilience-oriented operation of microgrids. In normal mode, the impact of event occurrence time and uncertainty level is analyzed via an adaptive robust optimization method. In emergency mode, 10 000 Monte Carlo scenarios of all the uncertain parameters are generated, and their impact on the operation cost, amount of load shed, and the range of the proposed resilience index are analyzed for each case.
Issue Date: 10-Jan-2019
Date of Acceptance: 6-Jan-2019
URI: http://hdl.handle.net/10044/1/69024
DOI: https://doi.org/10.1109/ACCESS.2019.2891786
ISSN: 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Start Page: 14924
End Page: 14937
Journal / Book Title: IEEE Access
Volume: 7
Copyright Statement: © 2019 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.
Keywords: Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Adaptive robust optimization
demand response
fragility curves
microgrid resilience
uncertainty modeling
DEMAND RESPONSE
DISTRIBUTION-SYSTEMS
POWER
ENERGY
Publication Status: Published
Online Publication Date: 2019-01-10
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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