OHL Assessment and Risk Evaluation Based on Environmental and Inspection Data
| Autor: | Susana de Almeida de Graaff, João Gomes-Mota, Francisco Azevedo, Nélio Teixeira Machado, Luis Campos-Pinto |
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| Přispěvatelé: | DI - Departamento de Informática, NOVALincs |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Risk
Engineering Data base Operations research Relational database business.industry Inspection Probabilistic logic Energy Engineering and Power Technology Environment computer.software_genre Grid Asset (computer security) OHL Operational risk Set (abstract data type) Planning Transmission (telecommunications) Data mining State (computer science) Electrical and Electronic Engineering business computer |
| Popis: | 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. authorsversion published |
| Databáze: | OpenAIRE |
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