Abstract
Electrical energy has a very important role in national economic growth. With the electrical energy requirements, it is necessary to operate an economical, reliable and quality system. The creation of a template for operating load forecasting for the Java-Bali system uses a coefficient method to calculate weekly loads, daily loads, and loads per ½ hour which is more user friendly. After this Load Forecasting template is applied, the result is a more efficient load deepening in terms of file size and time, and is more effective with the results of the calculation of electric energy (1.71%), electricity load (0.85%), and load factor 79% from planning data and manual realization.
Highlights
Pertumbuhan Energi listrik terus meningkat dari waktu ke waktu sebanding dengan meningkatnya pertumbuhan ekonomi masyarakat
The creation of a template for operating load forecasting for the Java-Bali system uses a coefficient method to calculate weekly loads, daily loads, and loads per 1⁄2 hour which is more user friendly. After this Load Forecasting template is applied, the result is a more efficient load deepening in terms of file size and time, and is more effective with the results of the calculation of electric energy (1.71%), electricity load (0.85%), and load factor 79% from planning data and manual realization
Data urutan realisasi energi mulai tahun 2010 sampai 2014 ; 124.415,32 GWH, 131.901,86 GWH, 145.820,26 GWH, 157.044,53 GWH
Summary
1. PENDAHULUAN Pertumbuhan Energi listrik terus meningkat dari waktu ke waktu sebanding dengan meningkatnya pertumbuhan ekonomi masyarakat. Untuk memenuhi kebutuhan energi listrik yang terus meningkat tersebut maka dibutuhkan perencanaan sistem tenaga listrik yang ekonomis, andal, dan bermutu. Salah satu masalah yang ada di PT PLN P3B Interkoneksi Jawa Bali adalah Keterbatasan personil yang mampu membuat prakiraan beban sehingga diperlukan sistem prakiraan beban yang user friendly yang mampu dipakai oleh semua personil . Dalam melakukan prakiraan beban operasi sistem banyak metode yang dapat digunakan yaitu Fuzzy Logic[1][2], AI[3], ARIMA[4], Koefisien dan lain-lain. PT PLN P3B Interkoneksi Jawa Bali dalam melakukan prakiraan beban sendiri menggunakan metode koefisien .
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