Analisis Pengaruh Akibat Korona Terhadap Rugi-Rugi Daya Saluran Uadara Tegangan Tinggi 150 kV (G.I. Lubuk Alung – G.I. P.I.P. – G.I. Pauh Limo)

Kurniasih, Novi; Sari, Dewi Purnama

doi:10.25077/jnte.v3n1.55.2014

Cited by 1 publication

(2 citation statements)

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“…Corona discharge is a phenomenon because of partial discharge from high voltage electrical energy colliding with gas molecules in the air when the electric field voltage exceeds a critical level, causing audible noise, frequency noise to the communication system, and loss of power on the anomaly of transmission line [6], [7]. [8] The corona produces a violet (purple) colored light followed by a hissing sound, creating the smell of ozone. Corona can cause power loss events along the transmission lines [8].…”

Section: Introductionmentioning

confidence: 99%

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Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM )

Fikri,

Christiono,

Mulyana K

et al. 2023

ELKHA

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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.

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Section: Introductionmentioning

confidence: 99%

“…[8] The corona produces a violet (purple) colored light followed by a hissing sound, creating the smell of ozone. Corona can cause power loss events along the transmission lines [8]. If repairs are made right away, the issue can be resolved immediately, but the only way to know the cubicle's state is to go to the site in the field [9].…”

Section: Introductionmentioning

confidence: 99%