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All Journal MULTIPLE: Journal of Global and Multidisciplinary Journal of Scientific Interdisciplinary
Susatyo Handoko
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Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Daily Peak Load Forecasting At PT. PLN Uses Anfis(Adaptive Neuro-Fuzzy Inference System) Susatyo Handoko; Karnoto Karnoto
Journal of Scientific Interdisciplinary Vol. 2 No. 3 (2025)
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jis1250

Abstract

The demand for electrical energy continues to rise with the progression of time. This growth must be matched by a reliable and cost-effective supply of electricity, requiring power systems that are both dependable and economical. Since the amount of electricity consumed by users cannot be precisely predicted, balancing generation with consumption necessitates accurate electrical load forecasting. This study focuses on load forecasting using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The forecast developed targets daily peak loads, which fall under short-term load forecasting. The data used for this forecasting consists of historical daily peak loads from January 1, 2017, to June 9, 2022. The forecasting process involves parameters such as radius, squash factor, accept ratio, reject ratio, and epoch. The forecast accuracy is evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results are then compared with PLN’s load forecasting, which employs the load coefficient method. The ANFIS-based forecasting achieved a MAPE of 1.879%, using networks Jaringan_24 and Jaringan_25. This MAPE value is slightly lower than PLN’s load forecasting MAPE of 1.917%, indicating better accuracy by the ANFIS method.
Analysis of Incoming Switchgear 3 KV 23-PSW-01B In Substation 23 at PT Kilang Pertamina Refinery Unit VI Balongan Susatyo Handoko; Abdul Syakur
urn:multiple://2988-7828multiple.v3i54
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Switchgear is a set of distribution panel systems that enable the process of switching or disconnecting and connecting loads, both individual and group loads. At PT Kilang Pertamina International Refinery Unit VI Balongan in Substation 23, the operational mechanism of the 3 kV Incoming Switchgear 23-PSW-01B breaker is equipped with a tripping coil to open the circuit during a fault and a closing coil to reconnect the power flow when conditions are safe. The tripping coil mechanism is activated by a lockout relay (F6) that receives signals from the protection relay during a fault, cutting off the power flow to protect the equipment. Conversely, the closing coil reconnects the power flow when all normal conditions are met. This switchgear is equipped with various types of Current Transformers (CT) for current measurement and protection relays such as Over Current Relay (OCR), Neutral Over Current Relay, Ground Over Current Relay, and Under Voltage Relay. The entire system is designed to maintain the reliability of power distribution and protect industrial equipment at the refinery.
Co-Authors Abdul Syakur Karnoto Karnoto