Risk Assessment Model for GIS Operating under Tropical Conditions

Conference paper (2019)

Authors

A.P. Purnomoadi PLN Research Institute
D. S. Rahmani PLN Research Institute
A. R. Mor DC systems, Energy conversion & Storage - EEMCS
J.J. Smit EEMS - General
G. Supriyadi PLN Research Institute
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
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Published Date

2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

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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