Real-Time Allocation of Multi-Mobile Resources in Integrated Distribution and Transportation Systems for Resilient Electrical Grid

Erenoglu A. K., ERDİNÇ O.

IEEE Transactions on Power Delivery, vol.38, no.2, pp.1108-1119, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.1109/tpwrd.2022.3206272
  • Journal Name: IEEE Transactions on Power Delivery
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.1108-1119
  • Keywords: Load modeling, Optimization, Costs, Resilience, Real-time systems, Stochastic processes, Distributed power generation, Battery storage plants, electric vehicles, mobile power supplies, power generation, real-time systems
  • Yıldız Technical University Affiliated: Yes


This article proposes a novel real-time optimization-based critical load restoration strategy for the post-event stages. The key idea is to integrate multi-mobile and stationary resources into the emergency tools of the system operation as grid-support services. The role of the demand response (DR) program and distributed generation (DG) from the resiliency-boosting points of view is investigated. To prevent prolonged and extensive electric outages, mobile emergency generator (MEG), emergency vehicle energy storage (EVES), and electric vehicles (EVs) are aimed to be exploited by forming microgrids. Power system constraints are modelled according to the linearized DistFlow equations. The framework's main aim is to serve critical loads, weighted by their priority, with the coordinated operation of multiple resources. Mixed-integer quadratic programming-based model is solved by a state-of-the-art solver within 30-minute time slots while considering uncertainties in real-time traffic congestion. Different case studies are carried out on the IEEE-33 bus coupled distribution-transportation system and the results are discussed in detail on the load restoration basis.