Probabilistic Dynamic Line Rating Applied to Multi-Area Systems Reliability Evaluation

Gabriel Santos Bolacell, Mauro Augusto Da Rosa, Armando M.Leite Da Silva, Pedro Cesar Cordeiro Vieira, Leonel De Magalhaes Carvalho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper proposes a dynamic line rating (DLR) technology application as an alternative to improve the operational reliability of interconnected electrical islands. Transmission system interconnection represents the main asset to identify the border between electrical areas, and they are essential not only for energy market interchanges but also for power assistance among distinct electrical areas. To introduce DLR technology as an option to multi-area systems reliability evaluation, this paper exploits the multi-variate requirements associated with DLR methods, discussing how this technology can be viewed as an operational alternative that can reveal hidden capacity of transmission lines. Therefore, the paper proposes a probabilistic framework to calculate the impact of DLR technology into multiarea systems operation reliability assessment, by means of distinct operative and market agreements. Numerical results are provided for the IEEE-RTS 96 HW along with a brief discussion of its impact in the Iberian Peninsula interconnected power system.

Original languageEnglish
Title of host publication2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665412117
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 - Manchester, United Kingdom
Duration: 12 Jun 202215 Jun 2022

Publication series

Name2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

Conference

Conference17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
Country/TerritoryUnited Kingdom
CityManchester
Period12/06/2215/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • multi-area systems
  • probabilistic dynamic line rating
  • reliability

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