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All Journal International Journal of Electrical and Computer Engineering JOIV : International Journal on Informatics Visualization Indonesian Journal of Electrical Engineering and Computer Science
Soeharwinto Soeharwinto, Soeharwinto
North Sumatera University
Computer Science & IT Electrical & Electronics Engineering

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Dynamic voltage restorer quality improvement analysis using particle swarm optimization and artificial neural networks for voltage sag mitigation Siregar, Yulianta; Muhammad, Maulaya; Arief, Yanuar Zulardiansyah; Mubarakah, Naemah; Soeharwinto, Soeharwinto; Dinzi, Riswan
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp6079-6091

Abstract

Power quality is one of the problems in power systems, caused by increased nonlinear loads and short circuit faults. Short circuits often occur in power systems and generally cause voltage sags that can damage sensitive loads. Dynamic voltage restorer (DVR) is an efficient and flexible solution for overcoming voltage sag problems. The control system on the DVR plays an important role in improving the quality of voltage injection applied to the network. DVR control systems based on particle swarm optimization (PSO) and artificial neural networks (ANN) were proposed in this study to assess better controllers applied to DVRs. In this study, a simulation of voltage sag due to a 3-phase short-circuit fault was carried out based on a load of 70% of the total load and a fault location point of 75% of the feeder’s length. The simulation was carried out on the SB 02 Sibolga feeder. Modeling and simulation results are carried out with MATLAB-Simulink. The simulation results show that DVR-PSO and DVR-ANN successfully recover voltage sag by supplying voltage at each phase. Based on the results of the analysis shows that DVR-ANN outperforms DVR-PSO in quality and voltage injection into the network.
Dynamic voltage restorer performance analysis using fuzzy logic controller and battery energy storage system for voltage sagging Siregar, Yulianta; Azhari Nasution, Azrial Aziz; Suan Tial, Mai Kai; Mubarakah, Naemah; Soeharwinto, Soeharwinto
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1215-1227

Abstract

Power quality is a major issue in the power transfer process. This is caused by disturbances such as voltage sags, voltage spikes, and harmonics. Voltage sag is the most common disturbance in the electric power system. However, the dynamic voltage restorer (DVR) is the most effective device for voltage sags. This research uses the DVR to overcome voltage sags using fuzzy logic controller (FLC) and battery energy storage system (BESS) to improve the performance of the DVR. The results showed that DVR using FLC improved the quality of voltage recovery compared to BESS because FLC injected a greater voltage of 0.0991 pu than BESS.
Bike Fitting System Based on Digital Image Processing on Road Bike Nasution, Tigor Hamonangan; Sitohang, Andreas; Seniman, Seniman; Soeharwinto, Soeharwinto
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2796

Abstract

This research aims to develop a bike fitting system based on digital image processing for road bikes. The method used in this study involves using the OpenCV and MediaPipe libraries in the Python programming language to detect the rider's body pose from a video stream captured using a webcam. The body pose data is then used to calculate important angles such as elbow, hip, knee, and ankle range related to the correct riding position for road bikes. In this research, a comparison is made between the body angles obtained and the angle range considered ideal for bike fitting on road bikes. If the body angles fall within the desired range, the system will label it as "Fit”; if the body angles are outside the selected range, the system will label it as "Not Fit." The results of this study indicate that the bike fitting system based on digital image processing using a webcam can provide helpful visual feedback in improving the rider's body position for road bikes. By observing the body angles produced and seeing the "Fit" or "Not Fit" label, cyclists can adjust their position to match the ideal position in bike fitting. The system test results show a low error rate, with elbow angle having an average error of 0.81%, hip angle of 1.37%, knee angle of 0.83%, and ankle range of 1.76%. Thus, this research contributes significantly to supporting cyclists in achieving a position appropriate to their inseam height.
Electrostatic precipitator design with wire-cylinder electrodes as a particulate matter reduction Siregar, Yulianta; Debataraja, Bio; Soeharwinto, Soeharwinto; Mubarakah, Naemah; Dinzi, Riswan
Indonesian Journal of Electrical Engineering and Computer Science Vol 32, No 1: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v32.i1.pp21-32

Abstract

Small industries are inseparable from the production of gaseous pollutants. One of the contents of exhaust gases produced from small industrial activities is particulate matter. The consequences of exposure to particulate matter for too long are coughing, cancer, blood coagulation, and death. For this reason, a tool is needed to capture particulate matter in small industrial exhaust gases. Based on the problems described, this research proposes using the electrostatic precipitator with the cockroft-walton method because this method is very effective in capturing particulate matter. The research results on electrostatic precipitator (ESP) with a pair of electrodes will achieve an efficiency of 25.4% when the voltage regulator is 20 V, while the efficiency is 98.7% when the voltage regulator is 35 V. The ESP with two pairs of electrodes will achieve 99.5% efficiency when the voltage regulator is 30 volts. Installing a vibrator as a particle thresher at the electrode is unsuitable for low-temperature exhaust gases because it produces a liquid and sticky residue that makes it difficult to fall off.
Co-Authors Azhari Nasution, Azrial Aziz Debataraja, Bio Muhammad, Maulaya Naemah Mubarakah Nasution, Tigor Hamonangan Riswan Dinzi Seniman, Seniman Sitohang, Andreas Suan Tial, Mai Kai Yanuar Zulardiansyah Arief Yulianta Siregar