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All Journal International Journal of Electrical and Computer Engineering Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Indonesian Journal of Electrical Engineering and Computer Science
Riswan Dinzi
Universitas Sumatera Utara
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy 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.
PERBANDINGAN METODA DIFFERENTIAL EVOLUTIONARY ALGORITHM DENGAN LAGRANGE MULTIPLIER PADA OPTIMISASI ECONOMIC DISPATCH Dinzi, Riswan; Siregar, Yulianta; Siregar, Melinda Zubara
Jurnal Media Elektro Vol 12 No 2 (2023): Oktober 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v12i2.12317

Abstract

In power plant operation, the highest cost is the cost of fuel, so it is necessary to optimize the Economic Dispatch (ED), which aims to analyze the economic operation of the thermal generator by performing simulation calculations to obtain optimal power and more economical generator operating costs. In this thesis, ED optimization is carried out using the Differential Evolutionary Algorithm (DEA) method at the Pangkalan Susu PLTU. The DEA method is validated with the Lagrange Multiplier method. DEA simulation results are not much different from the Lagrange Multiplier method. The results of the fuel cost comparison using the DEA method are more economical than the fuel costs for the Pangkalan Susu PLTU. In this thesis, the author takes a sample load data of 4 units of Pangkalan Susu PLTU in February 2021. The simulation results of the DEA method for load data for February 2021 produce an average cost savings of 3,111.64 US$/h with a saving percentage of 14, 01%. The lowest average fee is on February 1, 2021, for 17,108.68 US$/d, while the highest average fee is on February 21, 2021, for 20,478.61 US$/h..
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 Ali Hanafiah Rambe Debataraja, Bio Muhammad Zulfin Muhammad, Maulaya Naemah Mubarakah Siregar, Melinda Zubara Soeharwinto Soeharwinto, Soeharwinto Yanuar Zulardiansyah Arief Yulianta Siregar