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Design and Implementation of a Web-Based Relay Maintenance Information System at the Substation Sartika , Nike; Anugrah Firdaus, Aldi; Mardiati, Rina
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2492

Abstract

Protection relays detect disturbances or abnormal conditions in the electric power system, isolate disturbances, eliminate abnormal conditions, and produce signals or indications. One of the protection relays used in substations is the Over-Current Relay (OCR) and Ground Fault Relay (GFR). Routine maintenance of OCR and GFR is usually done by resetting or replacing the relay. However, the maintenance process was carried out manually using special test equipment, with the results recorded manually in a form, which was then digitized. This procedure is considered less effective. This study develops a web-based relay maintenance application using the waterfall method. This method was chosen because of its structured approach, complete documentation, and cost and processing time stability. The test results show that the web-based system functions according to the expected functionality. This application has been proven to facilitate and increase officers' effectiveness in relay maintenance based on a user survey. This application's OCR and GFR setting results are simulated using the ETAP 19.01 application for a short circuit fault scenario. The simulation results show that the relay works according to the inverse standard characteristics. The relay trip time for a fault on the 150kV side of the transformer is 2.2 seconds, while for a fault on the 20kV side, it is 7 seconds on Circuit Breaker 2 and 26 seconds on Circuit Breaker 1.
Design and Implementation of a Web-Based Relay Maintenance Information System at the Substation Sartika , Nike; Anugrah Firdaus, Aldi; Mardiati, Rina
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2492

Abstract

Protection relays detect disturbances or abnormal conditions in the electric power system, isolate disturbances, eliminate abnormal conditions, and produce signals or indications. One of the protection relays used in substations is the Over-Current Relay (OCR) and Ground Fault Relay (GFR). Routine maintenance of OCR and GFR is usually done by resetting or replacing the relay. However, the maintenance process was carried out manually using special test equipment, with the results recorded manually in a form, which was then digitized. This procedure is considered less effective. This study develops a web-based relay maintenance application using the waterfall method. This method was chosen because of its structured approach, complete documentation, and cost and processing time stability. The test results show that the web-based system functions according to the expected functionality. This application has been proven to facilitate and increase officers' effectiveness in relay maintenance based on a user survey. This application's OCR and GFR setting results are simulated using the ETAP 19.01 application for a short circuit fault scenario. The simulation results show that the relay works according to the inverse standard characteristics. The relay trip time for a fault on the 150kV side of the transformer is 2.2 seconds, while for a fault on the 20kV side, it is 7 seconds on Circuit Breaker 2 and 26 seconds on Circuit Breaker 1.
Power Transformer Loading Prediction Using Linear Regression as a Basis for Remaining Life Estimation Sartika , Nike; Nuramalia, Siti Anissa; Nurmalasari, Rin Rin
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3087

Abstract

Power transformers are one of the important components in an electric power system that is expected to operate optimally. Along with its use, some factors cause the depreciation of the transformer’s life, such as loading factors and environmental temperature. This study aims to predict loading based on historical loading data using linear regression to determine the depreciation and estimated life of the transformer. The research was conducted on three transformers in locations with different environmental temperatures. The test results showed that the linear regression model had a high R-Squared validation value of 0.949 for Transformer#1, 0.948 for Transformer#2, and 0.945 for Transformer#3. Then the MAPE error value obtained for the three transformers was low, namely 2.99%, 1.76%, and 4.69%. The prediction results are used to calculate the estimated remaining life of the transformer, which shows that Transformer#1 is expected to have a lifespan of <1 year by 2029, Transformer #2 in 2026, and Transformer#3 in 2025. The results showed that the load and ambient temperature significantly affect the transformer's life loss.