Risk Assessment Model for GIS Operating under Tropical Conditions

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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 - Electrical Engineering, Mathematics and Computer Science)

J. J. Smit (TU Delft - Electrical Engineering, Mathematics and Computer Science)

G. Supriyadi (PLN Research Institute)

Research Group

DC systems, Energy conversion & Storage

GIS Risk Risk Assessment Gas Insulated Switchgear Risk of Failure Tropical Conditions

DOI related publication

https://doi.org/10.1109/ICHVEPS47643.2019.9011030 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:ea1165eb-7260-4ec6-9cb6-f540e3ce0804

More Info

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Publication Year

2019

Language

English

Research Group

DC systems, Energy conversion & Storage

Article number

9011030

Pages (from-to)

272-275

ISBN (print)

978-1-7281-2670-8

ISBN (electronic)

978-1-7281-2669-2

Event

2nd International Conference on High Voltage Engineering and Power Systems (2019-10-01 - 2019-10-04), Bali, Indonesia

Downloads counter

239

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.