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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

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.

Perbandingan Algoritma Sine Cosine dan Kelelawar untuk Penempatan Pembangkit Listrik Terdistribusi Lindiasari Martha Yustika; Jangkung Raharjo; Rifki Rahman Nur Ikhsan; I Gede Putu Oka Indra Wijaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 3: Agustus 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i3.19191

The enhancement of electricity distribution is a crucial factor in supporting sustainable development and reducing energy access inequality. To ensure the reliability and stability of energy systems, the integration of distributed generation (DG) has a significant role. Numerous studies have explored optimal DG placement using metaheuristic methods. The study evaluated the performance of both algorithms based on key indicators, including voltage profile improvement and power loss reduction, under normal load conditions and under a 10% load increase to simulate future demand growth. The methods employed were the sine-cosine algorithm (SCA) and the bat algorithm (BA). By comparing these two methods, this study aims to optimize the placement and sizing of DG units, with a case study based on the IEEE 9 bus system configuration. Load flow analysis was performed using Electric Transient Analysis Program (ETAP) software to validate the effectiveness of optimized DG placement under various scenarios. Key performance indicators, namely losses reduction and improvement of voltage profile, were evaluated to determine the relative strengths of each algorithm. The results show that both SCA and BA are effective in optimizing DG implementation. Specifically, SCA achieved reductions in active power losses by up to 85% and reactive power losses by 93%, outperforming BA in certain scenarios. Both algorithms enhance system reliability and stability. These findings highlight the potential of metaheuristic algorithms to address the challenges of modern energy systems and contribute to the broader goal of developing sustainable power systems.

Pelatihan Pemodelan Instalasi PLTB Sebagai Improve Kurikulum Pengajaran di SMKN 4 Bandung Wijaya, I Gede Putu Oka Indra; Yustika, Lindiasari Martha; Adam, Kharisma Bani
Jurnal Pengabdian Masyarakat - PIMAS Vol. 3 No. 3 (2024): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v3i3.1470

The TSE-Creative Teaching’s Workshop is a community service program by the undergraduate Energy Systems Engineering faculty aimed at sharing knowledge with teachers at SMKN 4 Bandung. This workshop aims to assist teachers in integrating educational technology into their teaching methods. Teachers will learn how to use hardware to install Wind Power Plants (PLTB) and simulate PLTB installations. This aims to enhance the teachers' experience so they can transfer their knowledge to students, preparing them for the clean energy transition in the digital era. During this activity, the teachers achieved an average accuracy of 61% in answering questions correctly. Based on the questionnaire results, 100% of SMKN 4 Bandung participants agreed or strongly agreed on the relevance of the implemented community service program. Through this training, it is expected that teachers will improve their understanding of renewable energy, inspiring and guiding students in understanding the importance of renewable energy and their role in environmental conservation. Additionally, this training is expected to strengthen the school's involvement in sustainable practices and spread awareness about the importance of renewable energy within the local community.

Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Basuki Rahmat; I Gede Putu Oka Indra Wijaya; Rifki Rahman Nur Ikhsan; Lindiasari Martha Yustika; Jangkung Raharjo
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

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.

Perbandingan Algoritma Sine Cosine dan Kelelawar untuk Penempatan Pembangkit Listrik Terdistribusi Lindiasari Martha Yustika; Jangkung Raharjo; Rifki Rahman Nur Ikhsan; I Gede Putu Oka Indra Wijaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 3: Agustus 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i3.19191

The enhancement of electricity distribution is a crucial factor in supporting sustainable development and reducing energy access inequality. To ensure the reliability and stability of energy systems, the integration of distributed generation (DG) has a significant role. Numerous studies have explored optimal DG placement using metaheuristic methods. The study evaluated the performance of both algorithms based on key indicators, including voltage profile improvement and power loss reduction, under normal load conditions and under a 10% load increase to simulate future demand growth. The methods employed were the sine-cosine algorithm (SCA) and the bat algorithm (BA). By comparing these two methods, this study aims to optimize the placement and sizing of DG units, with a case study based on the IEEE 9 bus system configuration. Load flow analysis was performed using Electric Transient Analysis Program (ETAP) software to validate the effectiveness of optimized DG placement under various scenarios. Key performance indicators, namely losses reduction and improvement of voltage profile, were evaluated to determine the relative strengths of each algorithm. The results show that both SCA and BA are effective in optimizing DG implementation. Specifically, SCA achieved reductions in active power losses by up to 85% and reactive power losses by 93%, outperforming BA in certain scenarios. Both algorithms enhance system reliability and stability. These findings highlight the potential of metaheuristic algorithms to address the challenges of modern energy systems and contribute to the broader goal of developing sustainable power systems.

Kinerja pembangkit listrik tenaga surya hibrida 1 kWp pada lembaga sosial pendidikan di Singosari Divac Nabiel Akbar; Mohammad Noor Hidayat; Debi Satria Tri Mardani; Ricky Dwi Saputra; Lindiasari Martha Yustika
JURNAL ELTEK Vol. 24 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v24i1.9792

Peningkatan kebutuhan energi listrik di salah satu lembaga sosial pendidikan di Singosari mendorong pengembangan pembangkit listrik tenaga surya (PLTS) sebagai sumber energi alternatif. Penelitian ini mengevaluasi kinerja PLTS hibrida skala kecil berkapasitas 1 kWp pada kondisi berbeban aktual. Sistem terdiri dari 10 modul monocrystalline 100 Wp dengan konfigurasi 2S5P. Evaluasi difokuskan pada sisi array PV sampai titik input inverter melalui pengukuran iradiasi, suhu modul, tegangan operasi, dan arus operasi selama pukul 10.00–16.00. Parameter yang dianalisis meliputi daya keluaran, efisiensi array, energi, specific yield, performance ratio, dan estimasi rugi performa. Hasil pengujian menunjukkan iradiasi rata-rata 796,02 W/m², suhu modul 39,51 °C, tegangan operasi 31,62 V, arus operasi 20,03 A, dan daya keluaran 651,18 W. Efisiensi rata-rata titik pengukuran sebesar 15,47%, sedangkan efisiensi berdasarkan parameter rata-rata sebesar 15,67%. Energi selama enam jam pengujian sebesar 3,91 kWh, dengan specific yield 3,91 kWh/kWp, performance ratio 81,8%, dan estimasi rugi performa 18,2%. Hasil ini menunjukkan bahwa PLTS hibrida 1 kWp dapat berkontribusi sebagai pengembangan kapasitas energi, tetapi belum dapat diklaim memenuhi seluruh kebutuhan energi harian. ABSTRACT The increasing electrical energy demand at a social-educational institution in Singosari encourages the development of a solar photovoltaic system as an alternative energy source. This study evaluates the performance of a small-scale 1 kWp hybrid photovoltaic system under actual loaded conditions. The system consists of ten 100 Wp monocrystalline modules arranged in a 2S5P configuration. The evaluation was limited to the PV array side up to the inverter input by measuring irradiance, module temperature, operating voltage, and operating current from 10:00 to 16:00. The analyzed parameters include output power, array efficiency, energy, specific yield, performance ratio, and estimated performance loss. The results show average irradiance of 796.02 W/m², module temperature of 39.51 °C, operating voltage of 31.62 V, operating current of 20.03 A, and output power of 651.18 W. The average measurement-point efficiency was 15.47%, while the efficiency calculated from average parameters was 15.67%. The estimated energy during six hours was 3.91 kWh, with a specific yield of 3.91 kWh/kWp, performance ratio of 81.8%, and estimated performance loss of 18.2%. These results indicate that the system can contribute as energy capacity expansion, but cannot yet be claimed to meet the entire daily energy demand.

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