Rancang Bangun Alat Deteksi Ketidakseimbangan Beban Menggunakan Metode Analisis Vektor Arus Beban

Abstract

Measurement of load imbalance is essential to determine the percentage of load imbalance. To reduce human error due to measurements still being recorded in books, which are vulnerable to adverse risks, the researcher utilizes IoT technology in this case. This study aims to create a load imbalance measuring tool to detect and address load imbalance in distribution transformers practically, displayed through a smartphone, and to compare the measurement results using the load current vector analysis method. The research was conducted at ULP PLN Gebang for 2 months. The research methods used are the load current vector method and the literature study method, which involves searching for theoretical references and journals related to the research. The software used is Arduino IDE and Blynk, and the hardware used is the nodeMCU microcontroller. The results of this study, conducted on the PG-02 distribution, show that the analysis obtained from the Blynk application through the load current vector method indicates the analysis results for path 1 during the day (23.33%) and at night (24.66%), while the analysis for path 2 during the day (18.33%) and at night (23.66%) were obtained. Furthermore, the research results based on the combination of path 1 and path 2 show a good load imbalance percentage during the day (5%), while at night, the load imbalance increases to a moderate level (11%).