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All Journal Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Istiyo Winarno
Universitas Hang Tuah
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi

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Koordinasi Adaptif DOCR Pada Sistem Transmisi Loop Multi Generator Menggunakan Modified Firefly Algorithm-Artificial Neural Network Yolanda Dewi Puspita Ayu; Daeng Rahmatullah; Istiyo Winarno
Jurnal Ilmiah Telsinas Vol 4 No 1 (2021)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1068.694 KB) | DOI: 10.38043/telsinas.v4i1.2093

Abstract

Protection system is a very important component in the electric power distribution system. With good reliability, the distribution of electrical power will be better, one of which is by minimizing disruption to the system quickly, precisely and accurately. Components used in protection systems are directional overcurrent relays (DOCR). In this study proposed optimal and adaptive protection coordination using the Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) tested on the IEEE 9 real bus loop system with 4 generation combinations. Optimization using MFA will get the Time Delay Setting (TDS) and Ipickup (lowset) values. The ANN used is Backpropagation Lavenberg Marquardt (BPLM) After the BPLM learning process, we will get the weight and bias values of the training results and later as a reference value to get the value of TDS and Ipickup relay. The process will produce relay settings automatically based on the results of optimization and MFA-ANN training which are then simulated on the IEEE 9 bus loop system. The results achieved by MFA-ANN are suitable methods for modeling optimal and adaptive relay coordination systems. ANN training with the BPLM algorithm produces the smallest MSE value of 5.9308xE-10.
Co-Authors Achmad Handoko Andreansyah Agus Nurullah Belly Yan Dewantara Dzulfiqar Julda Iradiratu Diah Prahmana Karyatanti Mohamad Akbar Mukti Rahmatullah, Daeng Thoriqul Huda Yolanda Dewi Puspita Ayu