A Fuzzy Logic Approach to Health Index Determination for a Gas-Insulated Switchgear-Reference-Cited by-同舟云学术

A Fuzzy Logic Approach to Health Index Determination for a Gas-Insulated Switchgear

Published:2023-09-13 Issue:18 Volume:16 Page:6605
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Panmala Nattapon¹^ORCID,Suwanasri Thanapong¹,Suwanasri Cattareeya²

Affiliation:

1. Electrical and Software Systems Engineering, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

2. Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

Abstract

This paper presents a fuzzy logic approach, a simplified and adaptable method, to determine the health index of gas-insulated switchgear (GIS) bay and their compartments. Since the traditional weighting and scoring method (WSM) is a subjective method, the fuzzy logic approach has been applied to enhance the accuracy of the health index (HI) determination by evaluating the detectable degradation and the incorporated conditional factor (CF) considering actual operating conditions and invisible ageing. The input data are first obtained from routine inspection and time-based testing and then converted to numerical values as the fuzzy logic model input to compute the component HI. The bay HI values are further calculated by applying the WSM using the obtained component of the HI. Then, the accuracy of the obtained HI of the bay has been improved by multiplying with the CF to obtain the overall bay HI values. The proposed methodology was implemented in an independent power producer in a large industrial estate in Thailand to evaluate 175 GIS bays with actual data. The results were compared against other HI evaluation techniques with a satisfactory outcome. Finally, the overall bay HI is used to prioritize maintenance activity, to effectively allocate human resources, to prevent unplanned outages, and to achieve cost-effective, condition-based maintenance.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Link

https://www.mdpi.com/1996-1073/16/18/6605/pdf

Reference39 articles.

1. (2021). IEEE Standard for High-Voltage Gas-Insulated Substations Rated Above 52 kV (Standard No. C37.122-2021).

2. Wilson, H., Curcanu, G., Ito, H., Jung, T., Küng, T., Pagän-Diaz, E., Patel, G., and Pokora, S. (2007). Circuit-Breaker Controls Failure: Survey on Circuit-Breaker Controls Systems, CIGRE.

3. Runde, M., Sölver, C.E., Carvalho, A., Cormenzana, M.L., Furuta, H., Grieshaber, W., Hyrczak, A., Kopejtkova, D., Krone, J.G., and Kudoke, M. (2012). Final Report of the 2004–2007 International Enquiry on Reliability of High Voltage Equipment—Part 2: SF6 Circuit Breakers, CIGRE.

4. Runde, M., Sölver, C.E., Carvalho, A., Cormenzana, M.L., Furuta, H., Grieshaber, W., Hyrczak, A., Kopejtkova, D., Krone, J.G., and Kudoke, M. (2012). Final Report of the 2004–2007 International Enquiry on Reliability of High Voltage Equipment, Part 5–Gas Insulated Switchgear (GIS), CIGRE.

5. Duggan, E., Ring, I., Füchsle, D., Meyer, F., Sieber, P., Kopejtkova, D., Kurte, R., Jänicke, L.-R., Glaubitz, P., and Saida, T. (2014). SF6 Analysis for AIS, GIS and MTS Condition Assessment, CIGRE.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data Quality in IoT Temperature Sensor Systems: Demonstrated on Time-Dependent Temperature Fluctuations;IEEE Sensors Journal;2024-08-15