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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Elektron Jurnal Ilmiah Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Applied Agricultural Science and Technology Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Kilat Energi & Kelistrikan Jurnal Ilmiah Sutet Jurnal Teknik TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Indonesian Journal of Electrical Engineering and Computer Science Nusantara Journal of Multidisciplinary Science
Adri Senen
Institut Teknologi PLN
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering

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Penentuan Kriteria Kapasitas Transformator Berdasarkan Proyeksi Kebutuhan Energi secara Mikrospasial SENEN, ADRI; DINI, HASNA SATYA; ANGGAINI, DWI; PUTERA, PERDANA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 1: Published January 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i1.200

Abstract

ABSTRAKProyeksi energi memiliki peran penting dalam perencanaan pengembangan sistem distribusi listrik. Penelitian ini bertujuan untuk menentukan lokasi, jumlah dan penambahan kapasitas transformator yang diperlukan di area jaringan Tangerang. Metode prakiraan proyeksi energi dilakukan secara mikrospasial dengan membagi area layananan dalam bentuk grid – grid yang kecil (kelurahan). Selanjutnya pengelompokan (clustering) dilakukan berdasar karakteristik geografis, demografi, ekonomi dan kelistrikan wilayah untuk memperkirakan kerapatan beban. Hasil clustering yang terdiri dari 100 kelurahan, terkelompok menjadi 5 cluster dengan pertumbuhan beban per cluster rata-rata sebesar 8,4 %. Hasil perhitungan kapasitas transformator untuk wilayah Tangerang untuk 10 tahun adalah 250 kVA, 630 kVA, 1000 kVA dan 1250 kVA, dengan asumsi pembebanan transformator maksimal 80 %. Disamping itu prakiraan beban pada tingkatan transformator distribusi mengalami penambahan 3.064 unit gardu distribusi.Kata kunci: Prakiraan Beban, Transformator , Micro-spatial, Cluster, Tangerang ABSTRACTEnergy projection has important role in the planning of electricity distribution systems development. This study set out to investigate location, number and capacity of the transformers in Tangerang network area. A microspatial energy projection forecasting method was used by dividing the service area into small grids. Furthermore, clustering is carried out based on geographical, demographic, economic and electrical characteristics of the region to predict the load density. The clustering results consist of 100 grids grouped into 5 clusters with an average load growth 8.4% per cluster. As the result, the transformers capacity for the Tangerang area for the next 10 years are 250 kVA, 630 kVA, 1000 kVA and 1250 kVA, with the assumption that the maximum transformer loading is 80%. In addition, the estimated load at the distribution transformer level has an additional 3,064 distribution substations.Keywords: Load Forecasting, Transformer, Micro-spatial, Cluster, Tangerang
Determination of biomass energy potential based on regional characteristics using adaptive clustering method Alvianingsih, Ginas; Hashim, Haslenda; Jamian, Jasrul Jamani; Senen, Adri
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp46-55

Abstract

Determining the energy potential of biomass is the first step in selecting the most suitable and efficient energy conversion technology based on regional characteristics. The approach to estimating and determining biomass potential generally uses geospatial technology related to collecting and processing data about mapping an area. Unfortunately, this method is inadequate for simulating the interaction between variables, nor can it provide accurate predictions for the biomass supply chain. As a result, the results obtained from this method tend to be biased and macro, particularly in regions experiencing rapid land-use development. In this paper, the author has developed a clustering methodology with a fuzzy c-means (FCM) algorithm to determine biomass energy potential based on regional characteristics to produce data clusters with high accuracy. Grouping the characteristics of clustering-based areas involves grouping physical or abstract objects into classes or similar objects.
Grid impact analysis on wind power plant interconnection in strengthening electricity systems Senen, Adri; Kurniawan, Arif; Dini, Hasna Satya; Anggaini, Dwi
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 1: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i1.pp32-41

Abstract

The Timor system is one of the large systems in the East Nusa Tenggara region. Based on the general plan for electricity supply for 2021-2030, there is a plan to interconnect a 2x11 MW wind power plant. The addition of wind power plants will pose a considerable threat to the system due to the intermittency nature of renewable energy plants. Therefore, a comprehensive grid impact study is needed to convince network managers that adding wind farms will not cause disruptions to the system either locally or in general and is expected to strengthen the electricity system. The power flow simulation results, installing a 2x11 MW wind farm on the Timor system can improve voltage quality and reduce losses on both 70 and 150 kV systems. For transient stability, the frequency value on the Timor system still meets the grid code requirements. In addition, the simulation results of the intermittency impact of the wind power plant output show that the Timor system is still in a stable condition. The stability of the rotor angle of the existing power plant when the transient stability simulation is carried out shows that it is still in a balanced condition.
Co-Authors Adella Wendy Putri Alvianingsih, Ginas Anggaini, Dwi ARIF KURNIAWAN Christine Widyastuti Dini, Hasna Satya Dwi Anggaini Dwi Anggaini Dwi Anggaini Eko Supriyanto Fikri, Zul Hakimul Batih Hashim, Haslenda Hasna Satya Dini Jamani Jamian, Jasrul Jamian, Jasrul Jamani Oktaria Handayani Perdana Putera, Perdana Ridha Yasser Satya Dini, Hasna Titi Ratnasari Titi Ratnasari Titi Ratnasari Tri Wahyu Oktaviana Putri Yoakim Simamora Zainal Arifin