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All Journal Jurnal Teknik Elektro Universitas Tanjungpura Journal of Comprehensive Science Telecommunications, Computers, and Electricals Engineering Journal
Gianto, Rudi
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science

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PENJADWALAN EKONOMIS UNIT-UNIT PEMBANGKIT THERMAL MENGGUNAKAN METODE ALGORITMA GENETIKA Aldianto, -; -, Hardiansyah; Gianto, Rudi
Jurnal Teknik Elektro Universitas Tanjungpura Vol 2, No 1 (2019): Jurnal S1 Teknik Elektro UNTAN
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (600.003 KB)

Abstract

Untuk melayani beban dengan nilai tertentu maka yang perlu diperhatikan adalah berapa daya yang harus dibangkitkan oleh setiap unit pembangkit sehingga diperoleh pembangkitan yang ekonomis atau juga biasa disebut dengan  Economic Dispatch (ED). Untuk mengatasi masalah Economic Dispatch,  berbagai teknik optimasi telah diterapkan, salah satunya adalah metode Algoritma Genetika. Genetic Algorithm (GA) atau Algoritma Genetika merupakan metode metaheuristic yang terinsipirasi dari proses seleksi natural. GA adalah algoritma pencarian yang berdasarkan pada mekanisme sistem natural yakni genetika dan seleksi alam. Untuk sistem 3 unit generator pada beban 125 MW sebesar ± 0,1841%, beban 250 MW sebesar ± 0,1193%  dan beban 375 MW sebesar ± 0,1464%. Untuk sistem 6 unit generator pada beban 425 MW sebesar ± 0,00002%, beban 850 MW sebesar ± 0,00003% dan beban 1275 MW sebesar ± 0,0011%. Untuk sistem 20 unit generator pada beban 1325 MW sebesar ± 0,0195%, beban 2650 MW sebesar ± 0,0003% dan beban 3500 MW sebesar ± 0,0422%. Pada pengujian metode Algoritma Genetika pada uji parameter kontrol 1, metode Algoritma Genetika dengan rugi-rugi transmisi menghasilkan biaya bahan bakar yang lebih rendah dibandingkan dengan metode Lagrange Multiplier. Sedangkan pada dari segi rugi-rugi transmisi metode Algoritma Genetika lebih rendah dari metode Lagrange Multiplier. Tetapi komputasi lebih lama dibandingkankan dengan metode Lagrange Multiplier. Sehingga dapat disimpulkan bahawa metode GA dapat menyelesaikan pencapaian harga optimum untuk hasil biaya bahan bakar ekonomis pembangkitan.
Perencanaan Pembangkit Listrik Tenaga Surya (PLTS) Sistem Hybrid Pada Jaringan Kelistrikan Di Rumah Sakit Umum Yarsi Pontianak Sanjaya, Rhendy Eka; Gianto, Rudi; Junaidi, Junaidi
Journal of Comprehensive Science Vol. 3 No. 9 (2024): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v3i9.984

Abstract

Electrical energy is very important in everyday life to support the activities of various sectors. Fossil fuels as an energy source are a top priority, therefore renewable energy is an alternative to replace the limitations of fossil fuels which is the main priority in efforts to generate electrical energy in Indonesia. The high intensity of sunlight in Indonesia, especially in Pontianak City, is very suitable for building a Solar Power Plant (PLTS). The aim of this research is to find out how much potential PLTS has using applications PVsyst 7.3by utilizing the roof of the hospital building. This research uses three methods for economic analysis and analyzing the feasibility of PLTS. The method used isNet Present Value (NPV), Profitability Index (PI), and Discounted Payback Period (DPP). The results of research carried out using Software PVsyst 7.3 It was found that the PLTS system was installed on the roof of YARSI Pontianak General Hospital with a slope angle of 4O namely 115 kWp with the type of solar panel used being the Jinko Solar Tiger Neo N-type 72HL4-BDV 580Wp 198 units, 3 inverters of the SUN2000-30/36/40KTL-M3 type with a capacity of 40 kW, and batteries with type Sunlight RES OPzS with a capacity of 3060 Ah. Based on the results of calculations that have been carried out, the initial investment required is IDR. 1,578,472,422. Analysis of the economic feasibility of PLTS using 3 methods has been carried out to obtain an NPV value of Rp. 797.610.941,86, PI value of 1.505, and DPP value of 14 years. The three methods used in this research show that PLTS is feasible.
DISTRIBUTION TRANSFORMER LIFE LOSS ANALYSIS ON JTM 20 KV DUE TO AMBIENT TEMPERATURE AND LOADING Dupis, Pinsensius; Gianto, Rudi; Junaidi, Junaidi
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.73899

Abstract

A continuously operating transformer will inevitably undergo a temperature rise, with the iron core and copper coil as the primary sources of heat generation. The maximum temperature occurring in these components, also known as the hottest spot temperature, is the hottest point. It is essential to maintain a regular flow of temperature within safe limits to prevent any damage. The objective of this study is to estimate the remaining life of the distribution transformer at Tanjungpura University by analyzing its life shrinkage under JTM 20 kV's ambient temperature and loading conditions. To achieve this, transformer loading and top oil temperature were measured for one week. The Montsinger equation was utilized for calculating the transformer aging rate, while a service life of 20 years was assumed as per IEC 60354. Based on findings from research conducted at 4 locations, it was observed that the transformer experiences varying loads with temperature increases exclusively on weekdays from Monday to Friday. The age shrinkage values for each transformer were as follows: 0.0728 p.u, 0.0493 p.u, 0.0044 p.u, and 0.0043 p.u. Considering these research outcomes, the estimated remaining lifespan of the Tanjungpura University distribution transformer is long, and the transformer is in good condition.
Co-Authors -, Hardiansyah Aldianto, - Dupis, Pinsensius Junaidi Junaidi Sanjaya, Rhendy Eka