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    Analytical Reliability-based Investment and Operation Model for Post-Failure Network Reconfiguration

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    Publication date
    2022-11
    End of Embargo
    2023-11-23
    Author
    Marquez, Jorge A.
    Al-Ja’Afreh, Mohammad A.
    Mokryani, Geev
    Kabir, Sohag
    Campean, I. Felician
    Dao, Cuong D.
    Riaz, Sana
    Keyword
    Electricity
    Distribution systems
    Reliability
    Optimization
    Planning
    Network reconfiguration
    Mathematical model
    Rights
    © 2022 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    Open Access status
    embargoedAccess
    
    Metadata
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    Abstract
    Electricity providers aims to deliver uninterrupted electrical services to their customers at minimum cost while providing a satisfactory quality service. Therefore, the power system reliability is essential in power distribution network planning, design, and operation. This paper proposes a novel mathematical model to improve the reliability of reconfigurable distribution networks via investing and operating tie-lines. While the failure is being repaired, tie-lines allow the network operator to transfer loads from failed zones to healthy zones. Constructing new tie-lines could improve the network’s flexibility, aiming to reduce the cost of expected energy not supplied (EENS). The objective function of the proposed method is a trade-off between the investment cost of tie-lines construction in the planning stage, the cost of tie-lines operation (e.g., opening/closing), and the cost of EENS in the operational stage. The model simultaneously evaluates the best combination of investments and network configuration for each contingency while considering network constraints. A multistage mathematical model is developed as mixed-integer linear programming (MILP) to overcome the computational complexity and maintain solver traceability for utility-scale realistic networks. The model can handle the network reconfiguration (NR) considering N-x contingency analysis in the operation stage while deciding the investment in tie-lines in the planning stage. The optimal investment and operation in tie-lines, according to numerical results, can reduce the cost of the Distribution System (DS) while responding with contingencies by 51 to 70%.
    URI
    http://hdl.handle.net/10454/19336
    Version
    Accepted manuscript
    Citation
    Marquez JA, Al-Ja’Afreh MA, Mokryani G et al. (2022) Analytical Reliability-based Investment and Operation Model for Post-Failure Network Reconfiguration. International Conference on System Reliability and Safety (ICSRS). Nov 23-25 2022, Venice, Italy.
    Link to publisher’s version
    http://www.icsrs.org/icsrs22.html
    Type
    Conference paper
    Notes
    The full text will be available at the end of the publisher's embargo, 23rd Nov 2023.
    Collections
    Engineering and Informatics Publications

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