Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Communication-aware Restoration of Smart Distribution Grids Based on Optimal Allocation of Resilience Resources
Author:
Affiliation:

1.CentraleSupélec, University of Paris-Saclay, Paris, France;2.Electricité de France (EDF) R&D,Paris, France

Fund Project:

This work was supported by EDF/Orange/SNCF in the framework of the Chair on Risk and Resilience of Complex Systems (CentraleSupelec, EDF, Orange, SNCF).

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    Abstract:

    Although power grids have become safer with increased situational awareness, major extreme events still pose reliability and resilience challenges, primarily at the distribution level, due to increased vulnerabilities and limited recovery resources. Information and communication technologies (ICTs) have introduced new vulnerabilities that have been widely investigated in previous studies. These vulnerabilities include remote device failures, communication channel disturbances, and cyberattacks. However, only few studies have explored the opportunity offered by communications to improve the resilience of power grids and eliminate the notion that power-telecom interdependencies always pose a threat. This paper proposes a communication-aware restoration approach of smart distribution grids, which leverages power-telecom interdependencies to determine the optimal restoration strategies. The states of grid-energized telecom points are tracked to provide the best restoration actions, which are enabled through the resilience resources of repair, manual switching, remote reconfiguration, and distributed generators. As the telecom network coordinates the allocation of these resilience resources based on their coupling tendencies, different telecom architectures have been introduced to investigate the contribution of private and public ICTs to grid management and restoration operations. System restoration uses the configuration that follows a remote fast response as the input to formulate the problem as mixed-integer linear programming. Results from numerical simulations reveal an enhanced restoration process derived from telecom-aware recovery and the co-optimization of resilience resources. The existing disparity between overhead and underground power line configurations is also quantified.

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History
  • Received:January 03,2024
  • Revised:May 01,2024
  • Online: March 26,2025