Claim Missing Document
Check
Articles

Found 3 Documents
Search

Rekonfigurasi Jaringan Radial Distribusi Tenaga Listrik Penyulang Suryagraha Menggunakan Binary Particle Swarm Optimization (BPSO) Diana Mulya Dewi; Nuzul Hikmah; Imam Marzuki; Ahmad Izzuddin
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 9 No. 2 (2018): Vol. 9 No. 2, Oktober 2018
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v9i2.42

Abstract

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the end point. The tip voltage is determined by the distance of the distribution and the amount of load. The form of configuration also affects the amount of power loss and voltage loss. So that a good configuration is needed in order to obtain good efficiency. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So it is necessary to solve problems using program assistance. In this case, use Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) algorithm based on the behavior of a herd of insects, such as ants, termites, bees or birds. BPSO is a development of the PSO algorithm designed to solve the optimization problem in a discrete combination, where the particle takes the value of binary vectors with length n and speed which is defined as the probability of xn bits to reach value 1. The results show a significant reduction in losses .
Perancangan dan Pembuatan Sistem Penyalaan Lampu Otomatis Dalam Ruangan Berbasis Arduino Menggunakan Sensor Gerak dan Sensor Cahaya Imam Marzuki
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 10 No. 1 (2019): Vol. 10 No. 1 April 2019
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v10i1.48

Abstract

The manual use of household lights poses a problem in the efficiency of electricity use. Humans with various activities often do not pay attention to the condition of the lights in the room whether it lights up or not. This is certainly a waste of electricity when they leave the room without turning off the switch. Therefore, researchers propose an automation system that can save electricity from lighting. In designing the system there are two sensors used, namely Passive Infra Red (PIR) sensor and Light Dependent Resistror (LDR) sensor. PIR functions to detect the presence of human movements (objects) in the sensor work area, while the LDR sensor functions to detect the intensity of light around the room. The results of the system testing are that the PIR sensor works well around ± 2 minutes after the device is activated and the LDR Sensor will continuously measure the value of light intensity then turn on and off the light according to the programmed
Rekonfigurasi Jaringan Menggunakan Binary Particle Swarm Optimization (BPSO) Pada Penyulang Suryagraha Diana Mulya Dewi; Nuzul Hikmah; Imam Marzuki; Ahmad Izzuddin
Jurnal JEETech Vol. 1 No. 1 (2020): Mei 2020
Publisher : TE-UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v1i1.4

Abstract

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the endpoint. The tip voltage is determined by the distance of the distribution and the amount of load. The form of configuration also affects the amount of power loss and voltage loss. So that a good configuration is needed in order to obtain good efficiency. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So it is necessary to solve problems using program assistance. In this case, use Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) algorithm based on the behavior of a herd of insects, such as ants, termites, bees, or birds. BPSO is a development of the PSO algorithm designed to solve the optimization problem in a discrete combination, where the particle takes the value of binary vectors with length n and speed which is defined as the probability of bits to reach value 1. The results show a significant reduction in losses.