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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS Jurnal Sains dan Teknologi Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Social Science Research Jurnal Locus Penelitian dan Pengabdian Sewagati Journal Serambi Engineering (JSE)
Rony Seto Wibowo
Institut Teknologi 10 Nopember Surabaya
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Unit Commitment Scenarios for Distributed Energy Resources Using Binary Particle Swarm Optimization Aryani, Ni Ketut; Wibowo, Rony Seto; Rosida, Yasfi Nur; Santoso, Dimas Budi; Kurniawan, Muhammad
JST (Jurnal Sains dan Teknologi) Vol. 14 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v14i1.92194

Abstract

This study examines the integration of wind power plants and the application of Emergency Demand Response (EDRP) in the Unit Commitment (UC) problem in the electric power system, by utilizing the Binary Particle Swarm Optimization (BPSO) method. The UC problem focuses on optimal scheduling of generating units to meet load requirements with minimum operating costs. However, the intermittent characteristics of wind energy cause significant uncertainty in the scheduling process. Therefore, EDRP is applied as an adaptive strategy to change the load demand pattern dynamically, so as to improve system reliability and reduce dependence on conventional generators. This study aims to develop and implement an optimization method usingBinary Particle Swarm Optimization (BPSO) Algorithm in determining unit commitment scenarioin the electric power system involvingDistributed Energy Resources (DERs), in order to improve operational efficiency and reliability of the power system. This type of research issimulation-based experimental quantitative research.  Population: Electric power systems with DERs that have various load profiles and generating unit characteristics.Sample: A standard distribution system or test case system (e.g. IEEE 30-bus or hypothetical system) modified to include DERs such as PV (photovoltaic), microturbines, and energy storage (batteries). The data collection method is done by software simulation (e.g. MATLAB or Python) to generate load data, DER capacity, and system parameters.The Data Analysis Method Used isComputational Analysis. The simulation results show that the implementation of the fourth scenario results in lower generation costs and improves the operational efficiency of the system, indicating the potential for integrating demand strategies and renewable energy sources in modern power systems. The implications of this study can be used as a reference forshort term operational planning in spower system with high DER penetration.
Optimasi Dynamic Economic Dispatch pada Sistem Tenaga Hibrida Berbasis Photovoltaic Menggunakan Algoritma Turbulent Flow of Water-Based Optimization Moh. Erdianto Triputradi; Aryani , Ni Ketut; Wibowo, Rony Seto; Oktaviani , Berliandra; Najmy, Achsan
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The Increasing of living population, which impacts the increasing need for loads, is a challenge for plants in providing the need for electrical loads. The depletion of supplies and the high price of fossils constrain the cost of generating thermal plants. Therefore, a combination of alternative Photovoltaic (PV) energy power generation is needed to reduce the cost of generating thermal plants. Dynamic Economic Dispatch (DED) is one of the optimization techniques in power plants to determine the combination of output power in each generator in each period. This paper proposes an optimization technique to solve the DED problem in a hybrid PV base power system using Turbulent Flow Water-Based Optimization (TFWO) Method. This paper will compare the results and analysis of total generation costs before and after using PV plants. The total generation cost shows that the generation cost using PV can reduce the generation cost by $302,799.67.
Peningkatan Keandalan Sistem Kelistrikan 150 KV Daerah Khusus Berbasis Analisis Risiko dengan Metode Failure Mode Effect Analysis (FMEA) Kusuma, Ferdyan Hijrah; Wibowo, Rony Seto
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 4 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i4.5750

Abstract

Keandalan sistem tenaga listrik merupakan faktor fundamental dalam mendukung operasional Daerah Khusus yang dirancang sebagai kawasan strategis nasional dengan kebutuhan suplai listrik berkelanjutan dan bebas gangguan. Konfigurasi sistem 150 kV yang masih bersifat single radial menuju GIS Daerah Khusus menyebabkan kawasan ini sangat sensitif terhadap gangguan, khususnya pada koridor kritis SUTT 150 kV GI A – GIS. Penelitian ini bertujuan menganalisis risiko keandalan sistem kelistrikan 150 kV. Metode Failure Mode Effect Analysis (FMEA) diterapkan secara kuantitatif dan didukung oleh simulasi sistem tenaga menggunakan DigSilent PowerFactory untuk memperoleh nilai Energy Not Served (ENS), Laju Kegagalan (?), serta pengaruh gangguan terhadap tegangan dan frekuensi sistem. Hasil menunjukkan bahwa gangguan pada koridor utama menghasilkan ENS tertinggi sebesar 9,93 MWh dan berpotensi menyebabkan pemadaman total, dengan transformator GIS sebagai titik kritis. Analisis mitigasi menunjukkan bahwa pembangunan jalur transmisi cadangan 150 kV merupakan solusi paling optimal secara teknis dan finansial, karena mampu memenuhi kriteria keandalan serta menurunkan risiko secara signifikan. Penelitian ini memberikan kerangka evaluasi risiko yang komprehensif untuk mendukung perencanaan sistem kelistrikan yang andal dan berkelanjutan.
Optimizing the LNG-Based Ambon Island Electricity System: An Energy Policy Analysis Using the Dynamic Economic Dispatch Approach Sulaksono, Nugroho Budi; Wibowo, Rony Seto
Indonesian Journal of Social Science Research Vol. 7 No. 1 (2026): Indonesian Journal of Social Science Research (IJSSR) - In press
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijssr.07.01.39

Abstract

The electric power system on isolated islands like Ambon Island still relies on oil-fired power plants, which results in high operating costs, low efficiency, and significant carbon emissions. This study evaluates the utilization of Liquefied Natural Gas (LNG) through regasification facilities as energy gas storage to support gas engine power plants, with the aim of optimizing power plant operations and reducing electricity system operating costs. The analysis was conducted using a Dynamic Economic Dispatch (DED) approach based on Mixed Integer Linear Programming (MILP), considering the technical limitations of the power plant, ramp rate, power balance, and LNG regasification capacity within a 24-hour operating horizon. Simulation results show that converting fuel oil to LNG at the PLTMG and BMPP units reduces daily operating costs by Rp306 million, equivalent to a savings of 12.67%, and shifts the role of gas generators as baseload and reduces dependence on high-cost diesel generators. Sensitivity analysis shows that investment in regasification facilities remains feasible as long as daily fixed costs are below the break-even point of Rp806 million per day. These findings support the achievement of SDGs 7 (Affordable and Clean Energy) and SDGs 13 (Climate Action) by increasing energy efficiency, reducing emissions, and strengthening energy security in the archipelago.  
Co-Authors Adi Soeprijanto Adyatmoko Wirananto Agil Dwijatmoko Rahmatullah Andi Fitriati Ardyan Bhakti Setyarso Ardyono Priyadi Arianto, Marcel Nicky Aryani , Ni Ketut Aryani, Ni Ketut Badru Tamam Arozaq Christina Tio Trisnasari Daniar Fahmi, Daniar Daya Juang Mahaputra Dedet Candra Riawan Dedet Chandra Riawan Dhimas Oktavian Andryana Dimas Fajar Uman Putra Fakhruddin Wirakusuma Feby Agung Pamuji Ferdinand Rico Firaldi Galih Budi Virgiansyah Giorgio Rendra Gumelar Gokma Eunike Napitu Hari Agus Sujono Heri Suryoatmojo Januar Adi Perdana Kemas Robby Firmansyah Kresna Bayu Ar-razi Arifin Kusuma, Ferdyan Hijrah Lutfi, Aulia Amjad Mega Fatimah Rosana Mikhael Vidi Santoso Mochamad Ashari Mochamad Luthfiyansah Moh Fasich Moh. Erdianto Triputradi Monica Amelia Oktaviani Muhammad Arindra Muhira Dzar Faraby Musthofa, Arif Najmy, Achsan Ni Ketut Aryani Nugroho Wicaksono Oktaviani , Berliandra Ontoseno Penangsang Pius Aditya Kurnia Ray Prasetiyono Hari Mukti Prasetyo, Mario Dwi Pujiantara, Margo Putra, Dimas Fajar Uman R Wahyudi Rachmad Nur Priyanto Rahmat Riyadi Ridho Syahrial Ibrahim Riny Sulistyowati Rizka Winda Novialifiah Rizky Ramadyan Widiarto Ronny Mardiyanto, Ronny Rosida, Yasfi Nur Saifi Sabiq Sampulur Kerta Sugih Harta Santoso, Dimas Budi Sjamsjul Anam Sulaksono, Nugroho Budi Surya Mahendra Vicky Pria Permata Vita Lystianingrum Willy Prasetyadi Yauri Mahaputra Zico Musiano Sihombing