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Toward Operational Resilience of Smart Energy Networks in Complex Infrastructures

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Optimization, Learning, and Control for Interdependent Complex Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1123))

Abstract

Smart energy systems can mitigate electric interruption costs provoked by manifold disruptive events via making efforts toward proper pre-disturbance preparation and optimal post-disturbance restoration. In this context, effective contingency management in power distribution networks calls for contemplating disparate parameters from interconnected electric and transportation systems. This chapter, while considering transportation issues in power networks’ field operations, presents a navigation system for pre-positioning resources such as field crews and reconfiguring the network to acquire a more robust configuration in advance of the imminent catastrophe. Also, after the occurrence of the calamity, this navigator optimally allocates the resources to recover the devastating system. So, providing a coordination framework for manual field operation and automation system, this navigator takes a step from traditionally operated systems accommodation toward smart networks. During the contingency management process, there might be modifications in initial data due to the dynamic and time-varying condition of electric and transportation systems. Therefore, the mentioned navigator copes with a real-time problem of data-driven decision making in which, the decisions need to track online changes to the input data. Decision making by the navigation system in this environment is based on a mixed integer linear programming (MILP) optimization which is described in this chapter in detail.

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Notes

  1. 1.

    System Average Interruption Duration Index.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Sharif University of Technology, Tehran, Iran

    Babak Taheri, Ali Jalilian, Amir Safdarian & Moein Moeini-Aghtaie

  2. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

    Matti Lehtonen

Authors
  1. Babak Taheri
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  2. Ali Jalilian
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  3. Amir Safdarian
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  4. Moein Moeini-Aghtaie
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  5. Matti Lehtonen
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Corresponding author

Correspondence to Amir Safdarian .

Editor information

Editors and Affiliations

  1. School of Computing and Information Sciences, Florida International University, Miami, FL, USA, Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (solid lab), Florida International University, Miami, FL, USA

    M. Hadi Amini

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Taheri, B., Jalilian, A., Safdarian, A., Moeini-Aghtaie, M., Lehtonen, M. (2020). Toward Operational Resilience of Smart Energy Networks in Complex Infrastructures. In: Amini, M. (eds) Optimization, Learning, and Control for Interdependent Complex Networks. Advances in Intelligent Systems and Computing, vol 1123. Springer, Cham. https://doi.org/10.1007/978-3-030-34094-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-34094-0_9

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  • Print ISBN: 978-3-030-34093-3

  • Online ISBN: 978-3-030-34094-0

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