OHL Assessment and Risk Evaluation Based on Environmental and Inspection Data

Francisco de Moura E Castro Ascensão de Azevedo, João Gomes-Mota, Luis Campos-Pinto, Nelio Machado, Susana de Almeida de Graaff

Research output: Contribution to journalArticle

1 Citation (Scopus)
31 Downloads (Pure)

Abstract

REN – Rede Eléctrica Nacional, S.A., Portuguese Transmission System Operator (TSO), has been using LiDAR technology in their aerial inspections. The acquired three-dimensional data in this Power Line Maintenance System are automatically processed, with support of the video inspections and geo-referenced systems. The national transmission grid was fully characterized at span level with urbanization and vegetation growth rate indices. The collection of historical data, together with the knowledge of asset characteristics and system operation conditions, is structured in a generalized relational database, extended with a comprehensive set of different environmental, meteorological and geographic data over the years. A methodology to evaluate operational risk was developed, taking into account the probabilistic nature of contingencies and their severity under specific operating conditions. Risk indices provide an insight to operators of the network state and of the constraints that operators face. Different optimization tools are also being developed.
Original languageEnglish
Pages (from-to)127-130
JournalInternational Journal Of Electrical Power & Energy Systems
Volume70
DOIs
Publication statusPublished - Sep 2015

Keywords

  • Data base
  • Environment
  • Inspection
  • OHL
  • Planning
  • Risk

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