A Robust MPC Method for Post-Disaster Distribution System Reconfiguration based on Repair Crew Routing

Ali Arjomandi-Nezhad, Hesam Mazaheri, Moein Moeini-Aghtaie, Mahmud Fotuhi-Firuzabad, Matti Lehtonen, Saeed Peyghami

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

Distribution system reconfiguration is an effective solution to reduce the consequences of a disaster through transferring loads to another feeder via automatic switches. Meanwhile, an optimal sequence of damage components repairments provides the operator with the opportunity to utilize components that play a critical role in restoring loads sooner. Motivated by the rise in penetration of renewable distributed generators in modern distribution systems, this paper aims to develop a robust reconfiguration and crew routing co-optimization method to cope with renewable and demand uncertainties while recovering from a disaster. The method optimizes the grid recovery process for the worst load/generation scenario and repeats the optimization every time step considering the activities before the current time step. Finally, a case study on the IEEE 33-bus distribution test network is investigated to analyze the efficiency of the method.

Original languageEnglish
Title of host publication 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
PublisherIEEE
Publication date2022
Article number9810592
ISBN (Print)978-1-6654-1212-4
ISBN (Electronic)978-1-6654-1211-7
DOIs
Publication statusPublished - 2022
Event17th International Conference on Probabilistic Methods Applied to Power Systems - Manchester, United Kingdom
Duration: 12 Jun 202215 Jun 2022

Conference

Conference17th International Conference on Probabilistic Methods Applied to Power Systems
Country/TerritoryUnited Kingdom
CityManchester
Period12/06/202215/06/2022
SeriesInternational Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
ISSN2642-6757

Keywords

  • Resilience
  • model predictive control
  • outage management
  • Reconfiguration

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