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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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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.
Studi Karakteristik Profile Beban Kelistrikan Area Jaringan Tangerang Menggunakan Analisa Multivariate Adella Wendy Putri; Adri Senen
Nusantara Journal of Multidisciplinary Science Vol. 1 No. 8 (2024): NJMS - Maret 2024
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Analisis multivariat pada profil beban listrik adalah pendekatan yang penting untuk memahami pola penggunaan energi secara holistik dan mendalam. Dengan mengintegrasikan berbagai faktor yang mempengaruhi konsumsi energi listrik. Studi ini bertujuan untuk melakukan profilisasi beban listrik menggunakan metode analisis komponen utama (Principal Component Analysis, PCA) dan algoritma K-Means, serta mengevaluasi pemodelan dengan Regresi Linier Berganda dan menganalisis korelasi antara variabel-variabel terkait. Data beban listrik dari suatu wilayah tertentu dikumpulkan dan diolah menggunakan teknik PCA untuk mengidentifikasi pola utama dalam distribusi beban. Selanjutnya, algoritma K-Means digunakan untuk mengelompokkan pola-pola tersebut menjadi kategori yang lebih terdefinisi. Model Regresi Linier Berganda kemudian diterapkan untuk mengevaluasi hubungan antara variabel-variabel beban listrik dengan faktor-faktor yang memengaruhinya. Analisis korelasi digunakan untuk mengeksplorasi keterkaitan antara variabel beban listrik dan faktor-faktor lingkungan atau ekonomi yang dapat memengaruhi konsumsi energi. Hasil dari penelitian ini variabel PDRB,Jumlah Rumah tangga, beban listrik pada sektor bisnis dan perumahan memiliki korelasi yang dapat dikategorikan kuat yang melebihi nilai koefisien korelasi diangka 0,6. Reduksi duabelas variabel menggunakan PCA yang mempengaruhi konsumsi energi listrik menjadi empat variabel utama yaitu PDRB,Jumlah Rumah tangga, beban listrik pada sektor bisnis dan perumahan. Pemodelan yang menggunakan metode PCA mempunyai hasil yang baik dengan nilai RMSE 1.09
Co-Authors Adella Wendy Putri Alvianingsih, Ginas Anggaini, Dwi ARIF KURNIAWAN Christine Widyastuti Dini, Hasna Satya 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