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Analytical Reliability-based Investment and Operation Model for Post-Failure Network Reconfiguration
Marquez, Jorge A. Al-Ja’Afreh, Mohammad A. Riaz, Sana
Marquez, Jorge A.
Al-Ja’Afreh, Mohammad A.
Riaz, Sana
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Publication Date
2022-11
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© 2022 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
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R0S40_updated.pdf
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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%.
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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.
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Conference paper