Risk Assessment Model for GIS Operating under Tropical Conditions

Conference Paper (2019)
Author(s)

A. P. Purnomoadi (PLN Research Institute)

D. S. Rahmani (PLN Research Institute)

A. R. Mor (TU Delft - DC systems, Energy conversion & Storage)

J. J. Smit (TU Delft - EEMS - General)

G. Supriyadi (PLN Research Institute)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/ICHVEPS47643.2019.9011030
More Info
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Publication Year
2019
Language
English
Research Group
DC systems, Energy conversion & Storage
Pages (from-to)
272-275
ISBN (print)
978-1-7281-2670-8
ISBN (electronic)
978-1-7281-2669-2

Abstract

This paper proposes a risk assessment model for Gas Insulated Switchgear (GIS) operating under the tropical conditions. The model is a part of decision support tools at the tactical level of Asset Management in electricity network business. The model used the Asset Health Index (AHI) to estimate the likelihood of failure, while the consequences were defined by the business of a transmission utility in a case study. Risk discussed in the model is risk if a failure occurs in GIS. The output classifies the risk into five levels, namely, Very Low, Low, Moderate, High, and Very High.

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