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INDONESIA
Mechatronics, Electrical Power, and Vehicular Technology
Published by Lembaga Ilmu Pengetahuan Indonesia
ISSN : 20873379     EISSN : 20886985     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Mechatronics, Electrical Power, and Vehicular Technology (hence MEV) is a journal aims to be a leading peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on mechatronics, electrical power, and vehicular technology as well as related topics. All papers are peer-reviewed by at least two referees. MEV is published and imprinted by Research Center for Electrical Power and Mechatronics - Indonesian Institute of Sciences and managed to be issued twice in every volume. For every edition, the online edition is published earlier than the print edition.
Arjuna Subject : -
Articles 613 Documents
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Optimization of distributed generation placement in distribution network based on queen honey bee migration algorithm Alif Dhurrotul Fachriyyah; Aripriharta Aripriharta; Sujito Sujito; Muchamad Wahyu Prasetyo; Muhammad Cahyo Bagaskoro; Norzanah binti Rosmin; Saodah Omar; Gwo Jiun Horng
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.856

Abstract

In this research, an optimal distributed generation (DG) placement method for radial distribution systems based on queen honey bee migration (QHBM) and backward forward sweep (BFS) is presented. The suggested approach makes it possible to evaluate DG placement options in terms of branch currents, voltage profiles, and active power losses in a physically consistent manner. DG units are characterized as photovoltaic-based sources operating at unity power factor using an explicit net load formulation at the bus level, ensuring a clear interplay between DG injection and current-based load flows. Throughout the optimization process, a constraint-aware migration technique is employed to explicitly impose voltage limitations with the goal of minimizing overall active power losses while maintaining bus voltage magnitudes within allowable bounds. The proposed method was tested on an IEEE 69-bus radial distribution system to evaluate its performance. The results show that the placement of three DG units with a total installed capacity of approximately 2600 kW at buses 61, 64, and 17 produces a significant improvement in network operation. Under this arrangement, active power losses drop markedly from 224.4419 kW in the base condition to 72.7840 kW, corresponding to a reduction of 67.6 %. At the same time, the lowest bus voltage rises from 0.9104 p.u. to 0.9931 p.u., while voltage levels across the network consistently remain within the allowable range of 0.95–1.05 p.u. The study's findings suggest that QHBM-BFS can be used as a trustworthy and useful method for figuring out where DG should be placed in radial distribution systems.
MPPT algorithm based on modified remora optimization algorithm for photovoltaic systems under partial shading conditions Moh. Zaenal Efendi; Akhmad Adnaurrosyid; Muhammad Nizar Habibi; Rachma Prilian Eviningsih; Novie Ayub Windarko; Mentari Putri Jati
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1257

Abstract

The increasing electricity demand, driven by the growing human population, has led to the need for efficient backup power sources. Solar panels are one of the renewable energy sources that have been widely developed because they only require solar energy as their primary source. However, the phenomenon of partial shading is often a problem in solar panels because it can reduce the output power of the solar panel system, which is caused by shadows from trees or clouds. In this condition, conventional maximum power point tracking (MPPT) algorithms are often limited to the local maximum power point (LMPP). To effectively attain the global maximum power point (GMPP), it is imperative to devise more efficient algorithms. The modified remora optimization algorithm (MROA) has been proposed as a potential solution to this challenge. MROA is an adaptation of the remora optimization algorithm (ROA), inspired by the behavior of remora fish. The results indicate that the algorithm achieves an average accuracy of approximately 99.13 % in both simulation and hardware implementations. Furthermore, when comparing the results of the MROA with those of the original ROA method and particle swarm optimization (PSO), the MROA exhibited superior accuracy, tracking time, and power gain, suggesting that the MROA algorithm effectively circumvents the limitation of the local maximum power point.
Integration of a bidirectional cell in a quasi-Z-source inverter for CMV reduction and pure sinusoidal wave form Mohammad Imron Dwi Prasetyo; Muhammad Syahril Mubarok; Sofyan Muhammad Ilman; Misbahul Munir; Nur Vidia Laksmi B
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1100

Abstract

With the increasing global commitment to renewable energy sources like photovoltaics (PV), there is a critical need for high-efficiency and high-power-quality converter topologies. Traditional two-stage PV systems are often complex and introduce significant Common Mode Voltage (CMV), leading to issues like leakage currents, high electromagnetic interference, and safety concerns. This paper proposes the Integration of a Bidirectional Cell within a quasi-Z-Source Inverter (BC-qZSI) to achieve CMV Reduction in a single-stage power conversion setup. The BC acts as an active balancing and filtering element rather than solely a boosting stage, ensuring a continuous current mode and actively suppressing the high-frequency CMV components generated by the shoot-through states. The analytical mathematical expression of the proposed topology is derived to confirm its operation, voltage boost capability, and CMV characteristics. Ideal simulation results, performed using PSIM software, validate the derived expressions and demonstrate the effectiveness of the proposed design. The topology achieves a significant reduction in CMV, lowering its amplitude more than 90% compared to the conventional qZSI. Furthermore, the output waveform quality is excellent, yielding a Total Harmonic Distortion (THDv) of 2 %, which complies with the IEEE Std 519-2014 standard for acceptable waveform quality. These results confirm that the integrated BC-qZSI topology effectively mitigates CMV while maintaining high power quality and a single-stage architecture.
Front Cover MEV Vol 16 Iss 2 Ghalya Pikra
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1397

Abstract

Design and implementation of a synchronous buck DC–DC converter with incremental conductance MPPT for green hydrogen production via PEM electrolysis Novan Akhiriyanto; Rizky Muhammad Afandi
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1119

Abstract

The integration of green hydrogen production systems with photovoltaic (PV) energy sources presents challenges due to voltage mismatches between commercial solar charge controllers and the required input of proton exchange membrane (PEM) electrolyzers. This study presents an experimental implementation of a maximum power point tracking (MPPT) module using the incremental conductance (INC) algorithm embedded in a parallel buck converter configuration. The objective is to supply a stable low-voltage, high-current input to a PEM electrolyzer from a solar-powered system. The system employs three parallel connected buck converters, each operating within a 3 V to 7 V range and capable of delivering up to 20 A and 60 W to 120 W per module. Combined, the converters manage a power range of 180 W to 360 W to match the electrolyzer’s requirements under variable irradiance. The MPPT algorithm actively adjusts duty cycles to maintain the PV panel’s output near its optimal power point, targeting 150 W to 210 W. Voltage, current, and power readings from both PV and converter sides are acquired in real time via PZEM-017 sensors. Testing was performed over a three-hour period during peak solar irradiance (10:40 AM–1:40 PM) to ensure observation within the maximum power window. The average output from the parallel buck converter was 4.36 V, 25.41 A, and 111.26 W, while the PV panel delivered 154.41 W. Real-world system efficiency ranged from 59.48 % to 70.04 %, with a peak potential of 72.05 %. These results confirm the viability of using a parallel buck converter controlled by INC MPPT to drive a PEM electrolyzer in green hydrogen applications. The findings also indicate opportunities to further enhance efficiency through system refinement and control optimization.
Design and performance of nutrient dosing control system for hydroponic chilli plant using fuzzy logic controller Haryo Prastono; Mohamad Solahudin; Supriyanto Supriyanto
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.910

Abstract

The application of irrigation and nutrient provision is crucial for cultivating plants using hydroponic systems. This significance arises from the absence of natural nutrients in hydroponic growing media, which necessitates precise and tailored nutrient administration. This study aimed to discuss the design and construction of a nutrient dosing system employing both an on-off-based nutrient mixing control and a fuzzy logic-based fertigation control. Nutrient dosing system design entails establishing design criteria, functional and structural design, prototyping, programming, and testing. Performance testing involved a mixture of cocopeat and rice husk charcoal growing medium, with a 2-month-old chilli plant as the testing subject. The nutrient mixing control system resulted in a ready-to-use nutrient solution with a concentration of 1538.45 ppm, which slightly deviated from the 1500 ppm target. The total time required for nutrient mixing amounted to 3685.8 seconds. The calculations revealed a percentage error of 2.56 % for this nutrient mixing control system. The tested fertigation control system successfully maintained the moisture content of the growing medium within the available water zone with an error rate of 2.17 %. Observations over three days demonstrated that the control system activated fertigation processes twice daily, predominantly in the morning and evening. The total volume of fertigation administered ranged from 217 cm3 to 287 cm3 daily. All the components of the nutrient dosing system functioned effectively and performed well.
An evaluation of stereo vision for distance estimation using the SGBM algorithm in the CARLA simulator Rizky Hamdani Sakti; Liptia Venica; Dewi Indriati Hadi Putri; Shinta Rohmatika Kosmaga; Estiko Rijanto
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1284

Abstract

This paper presents an evaluation of stereo vision based on the semi-global block matching (SGBM) algorithm for distance estimation in an autonomous parking scenario using the CARLA simulator. Distance-disparity regression functions are explored to enhance distance estimation accuracy. The proposed distance estimation model was evaluated using the design science research methodology (DSRM) framework, with experimental validation conducted in CARLA’s promenade environment. The evaluation employed root mean square error (RMSE) and relative error metrics to assess performance. Experiments were performed within a range of 40-350 cm, which is relevant for autonomous parking applications. The experimental results show that the algorithm achieves an overall RMSE of 1.69 cm and an average relative error of 1.1 %. The findings contribute to the advancement of perception systems for autonomous vehicles, particularly in challenging environments.
Preface MEV Vol 16 Iss 2 Ghalya Pikra
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1398

Abstract

Novel design of a simple control system for hybrid electric motorcycle Didi Widya Utama; Hadian Satria Utama; Reno Wardy
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1077

Abstract

A hybrid system combines two or more propulsion systems, typically including electric motors and internal combustion engines. In this research, the motorcycle uses a 5.67 kW/8000 rpm gasoline internal combustion engine and a 1 kW/48 V DC brushless electric motor, both coupled to an in-wheel electric motor. The control system was designed to automatically manage two propulsion systems based on the rotation speeds of an internal combustion engine and an electric motor, along with readings from current and voltage sensors. It uses two ATmega16-based microcontrollers, a master and a slave, and is monitored via Bluetooth using an Android smartphone. An experimental setup was conducted to effectively operate the system, utilizing the motorcycle in three modes: engine mode, electric motor mode, and hybrid mode, which demonstrated successful functionality through automatic propulsion displacement.
Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization Sumit Babu Rijal; Prasiddha Chaulagain; Suman Kandel; Tul Bahadur Saru; Srijana Pariyar; Yubraj Bajgain; Kiran Giri
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1315

Abstract

This paper presents a low-cost adaptive suspension system designed to stabilize a mobile robotic platform operating on uneven terrain. Unlike many existing low-cost servo-based suspension approaches that depend on software-intensive filtering, threshold logic, or extensive tuning, the proposed system adopts a simplified control strategy using hardware-level sensor fusion from the digital motion processor (DMP) of an MPU6050 IMU combined with direct angle-to-actuation mapping. The mechanical design is based on a four-bar linkage suspension architecture actuated by servo motors and controlled using an ESP32 microcontroller, enabling real-time compensation of pitch and roll disturbances. Developed as a proof-of-concept platform with modular 3D-printed components, the system emphasizes accessibility, ease of fabrication, and reduced control complexity. Experimental evaluation under controlled, quasi-static conditions demonstrates effective chassis stabilization with limited angular deviation and consistently lower noise compared to a Kalman filter-based implementation, particularly during post-calibration operation. By balancing mechanical simplicity and additive manufacturing with reliable orientation feedback, the proposed design provides an accessible framework for teaching laboratories, low-budget research, and early-stage adaptive suspension development in resource-constrained environments.

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