Health Index Modelling in Condition Assessment of Gas Insulated Switchgear

Abstract

Gas Insulated Switchgear (GIS) is essential in electrical distribution networks, especially in space-constrained areas, offering efficiency and reliability. However, GIS is prone to degradation from environmental conditions, mechanical stress, and improper operations, requiring periodic assessments to maintain reliability. Traditional Health Index (HI) methods evaluate GIS primarily based on physical conditions, neglecting factors like asset age, operation frequency, and environmental impacts that influence performance. This study enhances GIS condition assessment by integrating the Conditional Factor (CF) value into the HI model, providing a broader risk evaluation, particularly for tropical environments. A unique contribution is the inclusion of Frequent Lightning Incidence in the CF calculation, alongside maintenance history, pollution levels, subsystem conditions, and surge arrester readiness. These factors improve the comprehensiveness of the Overall Health Index (OHI), combining HI and CF. The OHI model aims to improve accuracy in evaluating GIS conditions, enabling better maintenance planning and reducing failure risks in tropical regions like Indonesia. This advanced model supports informed decision-making and extends the lifespan of GIS assets by addressing both visible and latent risk factors, ensuring network reliability in challenging environments.