Asset Wellness Calculation Method of 150 - 500 KV Oil Immersed Power Transformer Using Combination of Technical Diagnostic and Risk Assessment

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I. Gusti Ngurah Mahendrayana, Rahman Azis Prasojo, Suwarno Suwarno, Sinanuri Surawijaya

2019 Proceedings of the 2nd International Conference on High Voltage Engineering and Power Systems: Towards Sustainable and Reliable Power Delivery, ICHVEPS 2019 Conference paper Cited by 0 Quartile

Abstract

Asset Wellness Calculation represents a method that combines technical diagnostic with risk assessment into an objective and quantitative value, providing the overall wellness of the asset. In this paper Asset Wellness calculation method of 150-500 KV oil immersed power transformers located in tropic region were discussed. The Asset Wellness method uses various data, not only data from technical test results such as dissolved gas analysis, electric testing, but other important data such as transformer loading data, maintenance data, age, grounding and foundation. The asset wellness method uses the IEEE, IEC, CIGRE criteria limits and limits on diagnostic tools for determining conditions. The Asset Wellness method is a combination of technical conditions with risk assessment based on the weight and criticality criteria of the equipment on the transformers which in total value will determine the health condition of the transformers. The method used in determining the criticality level of transformer equipment uses the SERP (System and Equipment Reliability Prioritization) method developed by EPRI. This method uses an approach based on technical data based on the level of criticality of the equipment combined with an assessment of the level of risk of down time. The Asset Wellness method is one of the tools in managing quantitative assets to determine the condition of the transformer and allows recommendations for the maintenance strategy of asset. © 2019 IEEE.

Affiliations

Institut Teknologi Bandung, PT. PLN (Persero), School of Electrical Engineering and Informatics, Bandung, Indonesia; State Polytechnic of Malang, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Department of Electrical Engineering, Bandung, Indonesia; Institut Teknologi Bandung, School of Electrical Engineering and Informatics, Bandung, Indonesia