Peranan tenaga listrik sangat penting saat ini dan tidak dapat dibayangkan kehidupan tanpa listrik, tidak hanya sebagai cahaya yang menyinari jalan- jalan di kota kita saat malam hari tetapi juga merupakan pendorong dari kekuatan ekonomi,sosial, dan budaya. Sumber daya yang dimiliki Kabupaten Simalungun terdiri dari berbagai sektor terutama pariwisata yang selalu berkembang di Kawasan Danau Toba. Apabila sumber daya dikelola secara tepat dan terarah akan mengakibatkan sumber daya yang dimiliki daerah Danau Toba dan sekitarnya dapat dimanfaatkan secara optimal. Keadaan ini membuat dan pemerintah dan pengembang usaha untuk menjamin ketersediaan pasokan listrik. Supaya ketersediaan ini mampu teratasi dibutuhkan suatu strategi yaitu prediksi kebutuhan energi dalam periode waktu tertentu. Dalam prediksi ini menggunakan analisa regresi dengan memperhitungkan pengaruh Produk Domestik Regional Bruto. Berdasarkan hasil prediksi beban listrik pada tahun 2024 terus mengalami peningkatan dari tahun ke tahun. Tahun 2020 sebesar 31.100.794 kWh sehingga tahun 2024 mencapai 35.212.427 kWh.
The process of monitoring and measuring transformers at PT. PLN (Persero) at the distribution substation BR 391 is done manually during peak load hours in the field, usually between 18.00-22.00 local time. Distribution substations sometimes have different peak load hours, in the morning, afternoon, evening, and sometimes during the day. Taking into account the different peak load hours at different substations, the current peak load hours are still determined by human. It is not effective, to overcome this, in this study it is planned to design a monitor and data storage using LoRa technology to monitor transformers at distribution substations all the time and has been tested at distribution substation BR 391 Jl. Wijaya Kusuma Medan. From the observations, peak load hours occur between 18.00-22.00 WIB and the highest peak load with power per phase: R=20,513,40 watts, S=15,350.06 watts, and T=21,323.91 watts. It can be seen that the highest average daily power consumption is at 20.00 WIB. More load usage occurs at night and the highest load is in the T phase. The increase in load affects the temperature increase of the cable up to 42.6℃
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.