Article Per Year (5 Year)
p-Index From 2021 - 2026
1.817
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Teknik Informatika UNIKA Santo Thomas Barometer JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) JEBDEKER: Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur Instal : Jurnal Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Linear : Jurnal Ilmu Pendidikan Electron: Jurnal Ilmiah Teknik Elektro
Lisa Melvi Ginting
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Optimasi Penempatan dan Penentuan Kapasitas Distributed Generator Menggunakan Cucko Search Algorithm untuk Mengurangi Rugi Daya Agnes Irene Silitonga; Simamora, Yoakim; S, Muhammada Aulia Rahman; Dewy, Mega Silfia; Silitonga, Agnes Irene; Ginting, Lisa Melvi
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.409

Abstract

Power losses in electrical distribution systems remain a major challenge that significantly impacts energy efficiency and system reliability. One promising approach to address this issue is the optimal placement and sizing of Distributed Generators (DGs) within the distribution network. This study aims to optimize DG placement and capacity using the Cuckoo Search Algorithm (CSA) and to compare its performance with several other algorithms, namely the Black Squirrel Optimization Algorithm (BSOA), Sine Cosine Algorithm (SCA), Teaching Learning Based Optimization - Grey Wolf Optimizer (TLBO-GWO), and GWO. The study was conducted on the IEEE 33-bus test system under two scenarios, with the initial condition of the distribution system exhibiting a power loss of 202.7 kW. In First Case Study, CSA achieved the lowest power loss of 105.31 kW, corresponding to a 48.05% reduction. In contrast, BSOA and TLBO-GWO reduced losses to 116.67 kW (42.44%) and 128.46 kW (36.62%) respectively. In Second Case Study, CSA again demonstrated superior performance with a loss reduction of 56.66%, outperforming SCA (56.33%), BSOA (55.97%), and GWO (55.82%). The optimal DG placement and sizing significantly improved overall system efficiency. The results indicate that CSA possesses strong exploration and convergence capabilities in identifying optimal DG configurations. Its application enables greater reduction in power losses while also enhancing voltage profiles and system stability. These findings suggest that CSA is an effective and competitive method for power distribution optimization involving distributed generation
Co-Authors Abdul Hasan, Abdul Agnes Irene Silitonga Argaretha, Frida Marta Bakti Dwi Waluyo Erita Astrid Hafiz, Fahrul Al-hamdi Harahap, Vivi Ramayanti Hasianna Nopina Situmorang Hasianna Situmorang Hutahaean, Harvei Desmon Immanuel, Michael Fritz Keysar Panjaitan Lubis, Azmi Rizki Mega Silfia Dewy, Mega Silfia Mendoza, Mhd. Dominique Muhammad Isnaini Panjaitan, Gabriella Dominggoes Purba, Marjuang S, Muhammada Aulia Rahman Sari, Ressy Dwitias SAUT PURBA Sembiring, Muhammad Aulia Rahman Silalahi, Sudi Satria Sinaga, Ferry Indra Sakti H Situmorang, Hasianna Nopina Tumangger, Emya Malum Karina Yoakim Simamora