ABSTRAKSaluran transmisi udara umumnya menggunakan konduktor jenis ACSR (Aluminium Conductor Alloy Reinforced) yang memiliki batas temperatur kerja yang diijinkan sebesar 90 o C. Mempertimbangkan peningkatan kebutuhan daya listrik yang semakin pesat akhir-akhir ini, maka usaha menambah kapasitas saluran transmisi dilakukan dengan membangun saluran transmisi baru, akan tetapi diperlukan biaya yang sangat tinggi. Dewasa ini telah dikembangkan konduktor ACCR (Aluminium Conductor Composite Reinforced). Keunggulan dari konduktor jenis ini adalah tahan terhadap panas sampai 240 o C, sehingga kemampuan hantar arusnya menjadi lebih tinggi dibandingkan konduktor ACSR. Penelitian ini bertujuan untuk mengetahui karakteristik perubahan arus saluran terhadap unjuk kerja mekanis konduktor ACCR yang meliputi tegangan tarik, panjang pemuluran dan andongan, sehingga diharapkan dari hasil penelitian ini akan berguna untuk membangun struktur konstruksi saluran transmisi yang sesuai dengan sifat konduktor ACCR. Hasil simulasi memperlihatkan, bahwa dengan mempertahankan ROW dan tower yang ada, penggunaan konduktor ACCR dapat meningkatkan kapasitas penyaluran sistem transmisi sekitar 100 % dibanding konduktor ACSR.Kata kunci: unjuk kerja mekanis, saluran transmisi, ACSR dan ACCR.
ABSTRACT
Overhead transmission line generally use ACSR conductor type (Aluminium Conductor Alloy Reinforced), it has makimum temperature allowable is 90 o C. To take into consideration of electric demand increasing recently, then effort to expand of transmission line capacity with develop new transmission, however need the high cost. ACCR conductor (Aluminium
The requirement for a reliable battery that holds a very important role. Therefore, this study refers to the characterization of lead acid batteries, this type is a secondary battery of the most developed and the lead acid batteries are widely used in the automotive field. The lead acid battery capacity is determined by the amount of electrical charge that is obtained from the battery and the amount depends on the active ingredient contained in the plate. To determine the characterization and capacity lead acid battery is good and suitable for use, this study used two methods. There are voltammetry analysis and development the lead acid battery model design based on neural network method. In the electrochemical field the voltammetry cyclic is a condition when the current is measured during a sweep potential from the beginning to the end potential and then back again. It is also called sweeping or scanning and can be reversed after the reduction takes. So the anodic and cathodic current can be measured. Then the design of the model development lead acid battery based on neural network in this study using inputs spesifically the voltage as input, and the current as target. So the accuracy testing of the forecasting system using neural network algorithm will be better and more efficient than the experiment data manually.
Electric power is needed in all sectors of life because basically, electric power is one of the basic human needs. With the existence of electric power in the daily activities of society and industry, it will also have an impact on increasing electrical energy which is increasing day by day. With the increasing number of consumers, the demand for quality in the supply of electrical energy will increase. So that the reliability of the electric power system is needed in increasing the availability of electricity to consumers. To find out that the distribution of electrical energy is maintained, it is necessary to have a very good level of reliability. The reliability method chosen in determining the reliability index is the Section Technique method. Section Technique is a structured method for analyzing a particular system. The results of calculations using the section technique method on the Arjasa feeder with loop configuration obtained a SAIFI reliability index of 1.5471 times/year, SAIDI of 1.1843 hours/year, and CAIDI of 0.7654 hours/year, while for feeders with radial configuration the SAIFI value is 1.4762 times/year, SAIDI of 5.2587 hours/year and CAIDI of 3.5623 hours/year.
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