Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Rekayasa elektrika Jurnal INFOTEL Nobel Community Services Journal
Rifki Rahman Nur Ikhsan
Telkom University, Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Reducing Operational Costs in Sulselbar’s 150 kV System with Electromagnetic Field and Sine-Cosine Optimization Ikhsan, Rifki Rahman Nur; Marsuki, Aminah Indahsari; Wijaya, I Gede Putu Oka Indra
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 1 (2025): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i1.458

Abstract

Dynamic economic dispatch (DED) is a crucial task in modern power systems, requiring efficient optimization to minimize generation costs while satisfying operational constraints. This study introduces a Hybrid Electromagnetic Field Optimization with Sine-Cosine Algorithm (EMFO-SCA) tailored to address the unique challenges of the Sulselbar 150 kV power system. Specifically, the algorithm is designed to handle non-linear cost functions, complex constraints, and dynamic load variations across a 24-hour scheduling period. EMFO-SCA achieves a balanced integration of global exploration (via Electromagnetic Field Optimization) and local exploitation (via the Sine-Cosine Algorithm), resulting in robust optimization performance. Applied to a system with seven active generator buses, EMFO-SCA demonstrates an average operational cost reduction of 0.27% compared to the Kho-Kho Algorithm (KKA). This improvement translates to measurable cost savings while maintaining strict adherence to generation limits, ramp rate constraints, and power balance at all intervals. For instance, during peak demand at 521.52 MW (hour 12), the method effectively minimizes costs without compromising operational reliability. The dual-phase design of EMFO-SCA enables faster convergence and higher accuracy than conventional methods, making it a scalable solution for real-world DED challenges. By optimizing power generation schedules dynamically and reliably, this study establishes EMFO-SCA as a significant advancement in energy system optimization, with clear potential for practical deployment in similar power systems.
Peningkatan Kesadaran Energi Baru Terbarukan (EBT) Di SMKN 6 Bandung Melalui Program Penyuluhan Terpadu Hasudungan, Jaspar; Marsuki, Aminah Indahsari; Ikhsan, Rifki Rahman Nur; Maharani, Nabila Sri; Kristi, Meilinda Santa; Padillah, Syipa Nuraeni
Nobel Community Services Journal Vol 5 No 1 (2025): Nobel Community Services Journal
Publisher : Lembaga Penelitian, Publikasi dan Pengabdian Masyarakat ITB Nobel Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37476/ncsj.v5i1.5221

Abstract

Program pengabdian Masyarakat ini bertujuan untuk meningkatkan wawasan dan pemahaman siswa SMKN 6 Bandung yang mengambil jurusan elektronika tentang Energi Baru Terbarukan (EBT) melalui pemahaman terpadu. Aktivitas dilaksanakan dengan metode penyuluhan interaktif yang mencakup presentasi visual, dan demonstrasi alat Pembangkit Listrik Tenaga Surya portable, dan sesi diskusi untuk memaksimalkan keterlibatan para peserta. Peningkatan pemahaman siswa dikaji melalui pre-test dan post-test, sementara perubahan sikap dan motivasi diukur lewat wawancara mendalam. Hasilnya menunjukkan peningkatan rata-rata skor pemahaman sebesar 10,64 poin, dari 50,21 di pre-test menjadi 60,85 di post-test serta antusiatisme siswa mengalami peningkatan setelah demonstrasi alat yang menunjukkan pengubahan energi matahari menjadi Listrik. Program ini juga menghasilkan materi edukatif dalam bentuk modul dan video dokumentasi yang dipublikasikan di YouTube. Kegiatan ini diharapkan dapat mendorong siswa berperan dalam mendukung peralihan energi berkelanjutan di sekolah ataupun lingkungan sekitar.
Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Rahmat, Basuki; Wijaya, I Gede Putu Oka Indra; Ikhsan, Rifki Rahman Nur; Yustika, Lindiasari Martha; Raharjo, Jangkung
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1170

Abstract

Generator scheduling remains an intriguing issue within the energy industry. It relates to the optimization of production costs, where system operators must select the optimal combination of available resources to minimize production costs. This paper proposes an enhancement to the Equal Incremental Cost (EIC) Method using Adjustable Gamma Control (AGC) in generator scheduling. Iterations begin with an initial lambda value, then gradually increase with the application of the factor until power demand is met. A variable of 10% is used as an adjustment step in the optimization method. The proposed method is capable of achieving convergence with 100% accuracy, where the power generated by all generators precisely matches the load demand (2,650 MW), at a cost of USD 32,289.03. EIC-AGC ranks second-best after VLIM, albeit with the consequence of consuming 195 seconds. This method is expected to have a significant impact on designing highly accurate economic dispatch techniques. Thus, generator scheduling will lead to a reduction in operational costs compared to current practices.
Multi-Objective in Mapping the Optimal Distributed Generation Configuration through GWOA to Enhance Grid Performance Reliability Wijaya, I Gede Putu Oka Indra; Ikhsan, Rifki Rahman Nur; Yustika, Lindiasari Martha; Raharjo, Jangkung
Jurnal Rekayasa Elektrika Vol 21, No 3 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i3.42929

Abstract

In electric power distribution systems, the distance between the load bus and the generating unitsignificantly affects grid efficiency and reliability, with longer distances causing greater voltage drops. To mitigatethis, Distributed Generation (DG) is increasingly being used, generating electricity closer to the point of consumption.Determining the optimal DG location requires advanced metaheuristic methods. This research proposes the Grey WolfOptimizer Algorithm (GWOA) to determine optimal DG placement, tested on the IEEE 14-bus distribution grid. Themethod generated two scenarios: In the first scenario, power losses were reduced by 98.1465% for real power and98.9538% for reactive power compared to the existing conditions, while voltage increased by an average of 0.0127 p.u.for all buses combined. The second scenario also showed a notable voltage increase of 0.0064 p.u. The GWOA methodproves to be an efficient and effective solution for DG placement, enhancing system reliability and protectinghousehold electronic devices.
Co-Authors AMINAH INDAHSARI MARSUKI Basuki Rahmat Masdi Siduppa I Gede Putu Oka Indra Wijaya Jangkung Raharjo Jaspar Hasudungan Kristi, Meilinda Santa Maharani, Nabila Sri Padillah, Syipa Nuraeni Yustika, Lindiasari Martha