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All Journal Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Muhammad Nizam
Sebelas Maret University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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A Technical Review of BMS Performance Standard for Electric Vehicle Applications in Indonesia Wahyudi Sutopo; Budhy Rahmawatie; Fakhrina Fahma; Muhammad Nizam; Agus Purwanto; B.B Louhenapessy; Evizal Abdul Kadir
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.7930

Abstract

The development of Battery Management System (BMS) standards in Indonesia has been carried out causing the FACTS approach. That's approach makes it possible to accommodate all stakeholder requirements. However, the approach has not yet considered a technical review of the regulated standards. Based on this, this study undertook a comprehensive review of BMS performance parameters set out in the standard. In order that the regulated standards not only accommodate the needs of stakeholders but also consider BMS technical studies in order not to impede the future development of BMS.
Derivative load voltage and particle swarm optimization to determine optimum sizing and placement of shunt capacitor in improving line losses Mohamed Milad Baiek; Ahmad E. Esmaio; Muhammad Nizam; Miftahul Anwar; Hasan M.S. Atia
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 2 (2016)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2016.v7.67-76

Abstract

The purpose of this research is to study optimal size and placement of shunt capacitor in order to minimize line loss. Derivative load bus voltage was calculated to determine the sensitive load buses which further being optimum with the placement of shunt capacitor. Particle swarm optimization (PSO) was demonstrated on the IEEE 14 bus power system to find optimum size of shunt capacitor in reducing line loss. The objective function was applied to determine the proper placement of capacitor and get satisfied solutions towards constraints. The simulation was run over Matlab under two scenarios namely base case and increasing 100% load. Derivative load bus voltage was simulated to determine the most sensitive load bus. PSO was carried out to determine the optimum sizing of shunt capacitor at the most sensitive bus. The results have been determined that the most sensitive bus was bus number 14 for the base case and increasing 100% load. The optimum sizing was 8.17 Mvar for the base case and 23.98 Mvar for increasing load about 100%. Line losses were able to reduce approximately 0.98% for the base case and increasing 100% load reduced about 3.16%. The proposed method was also proven as a better result compared with harmony search algorithm (HSA) method. HSA method recorded loss reduction ratio about 0.44% for the base case and 2.67% when the load was increased by 100% while PSO calculated loss reduction ratio about 1.12% and 4.02% for the base case and increasing 100% load respectively. The result of this study will support the previous study and it is concluded that PSO was successfully able to solve some engineering problems as well as to find a solution in determining shunt capacitor sizing on the power system simply and accurately compared with other evolutionary optimization methods.
Design and Build Automatic Transfer Switch (ATS) Based Internet of Things on Microgrid System Andhika Rizkita Putera; Muhammad Nizam; Feri Adriyanto
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.2.64700

Abstract

Electrical energy is a primary human requirement for continuously operating electronic devices. However, nonrenewable electrical energy is becoming increasingly scarce. As a backup power source, regenerative energy sources are an option. Because the conventional power grid transfer system takes a relatively long time, the application of a control system on the power grid transfer automatically can maximize efficiency, safety, and accuracy. In this study, an ATS system was developed using the electrical grid switching method for 300ms, 600ms, and 1000ms, as well as IoT to optimize the ATS manual override system with monitor voltage, current, and power. The test results show that the switching accuracy of 300ms is 98.40% and 98.18% with an average voltage of 19.65V and 41.22V when switching, 600ms switching is 98.14% and 99.25% with an average voltage of 17.77V and 18.18V when switching, and 1000ms switching is 99.40% and 99.41% with an average voltage of 17.52V and 21.05V, respectively. The voltage overshoot is obtained for 16ms and 40ms in linear loading and is stable within 2ms. There is harmonic distortion when loading non-linear for 9 cycles and 2 cycles of periodic frequency. The hardware data transmission accuracy is 97.94%, and the success rate of manual override is 100%.
Co-Authors Agus Purwanto Ahmad E. Esmaio Andhika Rizkita Putera B.B Louhenapessy Budhy Rahmawatie Evizal Abdul Kadir Fakhrina Fahma Feri Adriyanto Hasan M.S. Atia Miftahul Anwar Mohamed Milad Baiek Wahyudi Sutopo