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Design of spark ignition engine speed control using bat algorithm Setiadi, Herlambang; Jones, Karl O.; Nugroho, Teguh Aryo; Abdillah, Muhammad; Trilaksana, Herri; Amrillah, Tahta
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i1.pp794-801

Abstract

The most common problem in spark ignition engine is how to increase the speed performance. Commonly researchers used traditional mathematical approaches for designing speed controller of spark ignition engine. However, this solution may not be sufficient. Hence, it is important to design the speed controller using smart methods. This paper proposes a method for designing speed controller of a spark ignition engine using the bat algorithm (BA). The simulation is carried out using the MATLAB/SIMULINK environment. Time domain simulation is carried out to investigate the efficacy of the proposed method. From the simulation results, it is found that by designing speed controller of spark ignition engine using PI based bat algorithm, the speed performance of spark ignition engine can be enhanced both in no load condition and load condition compared to conventional PI controler.
Over Current Relay Coordination System Considering Distributed Generation Nugroho, Teguh Aryo; Muhammad Abdillah; Fauzan, Helmi; Nita Indriani Pertiwi; Setiadi, Herlambang; Krismanto, Awan Uji
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 1 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i1.15

Abstract

Today, electricity is one of the important components to drive the industrial process and other daily human activities. While the continuity of power supply through the power system grid is impressionable from disturbances such as a short circuit. In addition, the rapid development of distributed generation (DG) technology triggers the industry to use DG technology to maintain power quality and support for industrial processes. This paper proposed the coordination of over current relay (OCR) considering distributed generation (DG) to provide an extraordinary protection system in an electrical system network. The relay is coordinated with the other relay equipment to enhance the system more reliable, secure, and stable. To examine the efficacy of the proposed approach, the radial distribution system model is utilized in this paper where the DG is installed in bus 6. To compute the protection coordination index (PCI) and coordination time interval (CTI), the DG capacity is varied from 100 KVA to 1000kVA. From the simulation result, it could be seen that the installed DG that allowed in bus 6 was 900kVA because the CTI value reached convergence value as of 0.294 second for higher DC capacity than 900kVA. Moreover, the higher of DG capacity was injected to electrical system, the higher of PCI values was obtained.
Optimization of SVC Placement and Capacity in the Electric Power System Transmission Networks using Multi-Objective Improved Sine Cosine Algorithm Abdillah, Muhammad; Maulana, Ferbyansyah Gilang; Nugroho, Teguh Aryo
Journal of Advanced Technology and Multidiscipline Vol. 2 No. 2 (2023): Journal of Advanced Technology and Multidiscipline (JATM)
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v2i2.53423

Abstract

Current technological developments are in line with the increasing consumption of electrical energy. There is a value of power losses of the electricity transmission process caused by an increase in the value of power losses, to overcome this, SVC (Static VAR Compensator) of the Flexible AC Transmission System (FACTS) can be used. From previous studies, the optimization of SVC placement in the transmission network has not been carried out to get better power losses. This research uses the Improved-Sine Cosine Algorithm (ISCA) that has a different function of r1 compared to the ordinary SCA, in which the use of the ISCA method is able to overcome the weaknesses of the SCA method. The determination of location and capacity can use more than one objective function. From the result, the optimization of SVC placement and capacity is able to reduce the value of power losses by up to 85%.