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All Journal Jurnal Rekayasa elektrika Jurnal INFOTEL
Yustika, Lindiasari Martha
Telkom University, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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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 Basuki Rahmat Masdi Siduppa I Gede Putu Oka Indra Wijaya Jangkung Raharjo Rifki Rahman Nur Ikhsan