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All Journal International Journal of Applied Power Engineering (IJAPE) ALINIER: Journal of Artificial Intelligence & Applications
Purwoharjono Purwoharjono
Universitas Tanjungpura
Automotive Engineering Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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A new method to incorporate three-phase power transformer model into distribution system load flow analysis Rudy Gianto; Purwoharjono Purwoharjono
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.21 KB) | DOI: 10.11591/ijape.v10.i3.pp262-270

Abstract

This paper proposes a new and simple method to incorporate three-phase power transformer model into distribution system load flow (DSLF) analysis. The objective of the present work is to find a robust and efficient technique for modeling and integrating power transformer in the DSLF analysis. The proposed transformer model is derived based on nodal admittance matrix and formulated by using the symmetrical component theory. Load flow formulation in terms of branch currents and nodal voltages is also proposed in this paper to enable integrating the model into the DSLF analysis. Singularity that makes the calculations in forward/backward sweep (FBS) algorithm is difficult to be carried out. It can be avoided in the method. The proposed model is verified by using the standard IEEE test system.
Penerapan Metode Jaringan Syaraf Tiruan Untuk Prediksi Kebutuhan Beban Listrik Purwoharjono Purwoharjono
ALINIER: Journal of Artificial Intelligence & Applications Vol. 2 No. 1 (2021): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.922 KB) | DOI: 10.36040/alinier.v2i1.3566

Abstract

Penelitian ini bertujuan untuk memprediksi kebutuhan beban listrik. Prediksi kebutuhan beban listrik ini dilakukan dengan menggunakan Metode Jaringan Syaraf Tiruan (JST). JST ini menggunakan algoritma backpropagation. Lokasi penelitian ini dilakukukan di Kota Pontianak Kalimantan Barat. Peningkatan konsumsi listrik diwilayah Kota Pontianak mengalami peningkatan setiap tahunnya namun tidak diimbangi dengan pemenuhan energi listrik yang mencukupi. Berdasarkan hasil yang diperoleh dari simulasi menggunakan algoritma backpropagation ini dapat dikatakan bahwa algoritma backpropagation ini dapat bekerja dengan baik dalam mengenali data masukan yang diberikan ke sistem karena tingkat kesalahan menggunakan Mean Square Error (MSE) dan Mean Absolute Percentage Error (MAPE) relatif kecil.
Co-Authors Rudy Gianto