On the explicit formulation of reliability assessment of distribution systems with unknown network topology: Incorporation of DG, switching interruptions, and customer-interruption quantification

Mohammad Jooshaki*, Matti Lehtonen, Mahmud Fotuhi-Firuzabad, Gregorio Muñoz-Delgado, Javier Contreras, José M. Arroyo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

This paper presents an original approach for the evaluation of reliability of active distribution networks with unknown topology. Built upon novel reformulations of conventional definitions for distribution reliability indices, the dependence of system-oriented reliability metrics on network topology is explicitly formulated using a set of mixed-integer linear expressions. Unlike previously reported works also modeling mathematically the relationship between reliability assessment and network topology, the proposed approach allows considering the impact of distributed generation (DG) while accounting for switching interruptions. Moreover, for the first time in the emerging closely related literature, the nonlinearity and nonconvexity of the customer average interruption duration index are precisely characterized. The proposed mixed-integer linear model is suitable for various distribution optimization problems in which the operational topology of the network is not specified a priori. Aiming to exemplify its potential applicability, the proposed formulation is incorporated into a distribution reconfiguration optimization problem. The effectiveness and practicality of the proposed approach are numerically illustrated using various test networks.

Original languageEnglish
Article number119655
Number of pages10
JournalApplied Energy
Volume324
DOIs
Publication statusPublished - 15 Oct 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Active distribution networks
  • Customer-interruption quantification
  • Distributed generation
  • Mixed-integer linear programming
  • Reliability assessment
  • Switching interruptions
  • Unknown network topology

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