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Optimal Transmission Network Topology for Resilient Power Supply

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Book cover Information Systems, Logistics, and Supply Chain (ILS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 262))

Abstract

An electric power supplier needs to build a transmission line between two jurisdictions. Ideally, the design of the new electric power line would be such that it maximizes some user-defined utility function, for example, minimizes the construction cost or the environmental impact. Due to reliability considerations, the power line developer has to install not just one, but two transmission lines, separated by a certain distance from one-another, so that even if one of the lines fails, the end user will still receive electricity along the second line. In other words, the optimal placement of the transmission lines corresponds to the topological design of a specialized unorthodox “supply chain”, where the multiple power lines serve towards the system’s resilience against catastrophic failures. We discuss how such a problem can be modeled, and in particular, demonstrate a setting that allows to solve the problem efficiently.

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Acknowledgements

We would like to thank Sara Ghandehari Shandiz, PhD student, Department of Chemical and Petroleum Engineering, and Joule Bergerson, Assistant Professor, Chemical and Petroleum Engineering, for introducing a specific instance of a power line routing problem and providing a sample data set. Last, but not least, we would like to sincerely thank the anonymous referees for the invaluable input that hopefully led to an improved version of the manuscript.

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Correspondence to Yuriy Zinchenko .

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Zinchenko, Y., Song, H., Rosehart, W. (2018). Optimal Transmission Network Topology for Resilient Power Supply. In: Temponi, C., Vandaele, N. (eds) Information Systems, Logistics, and Supply Chain. ILS 2016. Lecture Notes in Business Information Processing, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-319-73758-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-73758-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73757-7

  • Online ISBN: 978-3-319-73758-4

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