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Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM ) Fikri, Miftahul; Christiono, Christiono; Mulyana K, Iwa Garniwa; Ratnasari, Titi; Atmadja, Kurniawan; Thahara, Andi Amar; Romadhoni, Muhammad Luthfiansyah
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.63601

Abstract

In many electrical networks in Indonesia, insulation failure due to high voltage phenomena like Corona Discharge (CD) still happens. This is a result of our inability to perform early Corona Discharge (CD) identification. This study"™s objective is to optimalize the sound properties of Corona Discharge (CD) as a first step throught the early identification of insulation failure in the form of clustering 20 kV cubicle. Based on observations on the needle-rod electrode 3 cm apart, the smallest breakdown was obtained at 34.3 kV. So that the classification of CD sound by 3 clusters starting 20 kV cubicle voltage until before the failure occurs on 33 kV. The temperature in the cubical is between 27.5℃ - 35.3℃ and humidity ranges from 70% - 95%. It was stated in the study that the FcM method was the most widely used and successful method. In this case, FcM can obtain more flexible results that classify data into clusters easily. This research will be carried out using the Fuzzy c-Means (FcM) method. Feature extraction with linear predictive coding (LPC) method, then optimization by using the Fuzzy c-Means (FcM) method which is expected to be used as an initial step for early detection of insulation failure.
Penerapan Sistem Synchron CBE (Close Before Excitations ) Pada Diesel Generator Konvensional Suharto, Mohammad; Mulyana K, Iwa Garniwa
Madani: Jurnal Ilmiah Multidisiplin Vol 4, No 2 (2026): March 2026
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18646708

Abstract

This article analyzes the performance of generator set (genset) synchronization systems using the Dead Bus Close Before Excitation (CBE) method compared to the live bus method, and evaluates the dynamic response of gensets through block load testing, PID tuning, and burning tests. The test results show that the Dead Bus CBE synchronization method achieves an average synchronization time of approximately 9 seconds, faster than the live bus method, which requires about 18 seconds, resulting in a time efficiency improvement of ±50%. This improvement directly impacts the reliability of the backup power system and reduces dependence on Uninterruptible Power Supply (UPS) battery capacity. Block load testing shows that the genset can handle 0–50% load with stable voltage and frequency responses, meeting the requirements of ISO 8528-5. In the 0–100% block load test, a voltage drop of up to –19% and a frequency decrease of –9% were observed, with a recovery time of approximately 5.5 seconds, classified as a conditional pass according to the standard. PID tuning results on the Digital Automatic Voltage Regulator (DAVR) and governor were proven to improve transient response, reduce voltage drop magnitude, and enhance system stability during synchronization and sudden load acceptance. Additionally, the burning test results indicate that the genset can operate continuously under high load with stable voltage, frequency, and thermal parameters without triggering protection faults. Overall, this study demonstrates that implementing Dead Bus CBE synchronization supported by proper PID tuning can improve the response speed, stability, and reliability of gensets as backup power sources for critical loads.