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JAREE (Journal on Advanced Research in Electrical Engineering)
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 25796216     DOI : https://doi.org/10.12962/j25796216.v4.i2.116
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
JAREE is an Open Access Journal published by the Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya – Indonesia. Published twice a year every April and October, JAREE welcomes research papers with topics including power and energy systems, telecommunications and signal processing, electronics, biomedical engineering, control systems engineering, as well as computing and information technology.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 8 Documents
 1 
Search results for , issue "Vol 8, No 2 (2024): July" : 8 Documents clear
PAPR Reduction of CC-OFDM MIMO Radar Waveform using Golay Codes Kuswidiastuti, Devy; Suryani, Titiek; Prasetya, Alif Yudha
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.412

Abstract

The development of modern radar technology demands multi-functional features that lead to the importance of designing a flexible, software-controlled digital waveform generator. The CC-OFDM MIMO radar waveforms allow flexibility in subcarrier management; hence it is possible to generate multiple narrow beams which transmitted simultaneously for providing all time coverage of the area.However, the main issue of OFDM is the high level of its PAPR value. This will cause non-linear distortion that potentially ruin the orthogonality of the OFDM subcarriers and in the end gives error in the radar detection results. In this paper, PAPR reduction using phase coding is done, by comparing the performance of complementary Hadamard, complementary Golay codes and combining it with Selective Mapping (SLM). The PAPR results show that complementary Golay codes without SLM are superior to complementary Hadamard with or without SLM. The maximum PAPR value of 65 beams transmitted simultaneously are 4.9 dB and 11.1 dB for CC OFDM waveform using complementary Golay codes and Hadamard respectively.
Power Allocation based on ANN for Hybrid Battery and Supercapacitor Storage System in EV Rahmawan, Hanif Adi; Lystianingrum, Vita; Adityanugraha, Dimas Febry; Pamuji, Feby Agung
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.385

Abstract

The paper focuses on presented an ArtificialNeural Network (ANN) approach to allocate power for a hybridenergy storage system (HESS) in an Electric Vehicle (EV). TheHESS is comprised of a battery and supercapacitor, and theANN algorithm aims to optimize power allocation between thesetwo energy storage devices. The data for ANN training wasbased on cost optimization-based power allocation fromprevious research. While optimization can often take highcomputational resource and time, it is expected that a welltrained ANN can allocate power for the EV HESS more quickly.In this research, the inputs to the ANN are the required powerderived from the drive cycle, energy and power capacity of thebattery and supercapacitor, and state of charge (SoC) of thebattery and supercapacitor. The trained ANN was trained withvarious inputs not used in the training and it shows satisfactoryperformance.
Day-Ahead Dynamic Economic Emission Dispatch Considering Photovoltaic Predicted Output Using Sailfish Optimizer and Simulated Annealing Wisbar, Andi Hidayah; Priyadi, Ardyono; Lystianingrum, Vita
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.395

Abstract

The Indonesian government continues to focuson boosting equitable access to environmentally friendlyelectricity to all levels of Indonesian society. This can be shownthrough the achievement of an electrification ratio of 99.40 percent in the third quarter of 2021 coupled with promisinggrowth in the capacity of Renewable Energy (RE) powerplants. Economic Dispatch (ED) aims to optimize the outputpower of generating units to minimize the total cost of powersystem operations. With the application of ED, the minimumgeneration cost will be obtained for the production of electricpower generated by generating units in an electricity systemwhile still paying attention to constraints. For hybrid plantssuch as the Selayar Solar Power Plant, the challenge toperforming ED is the intermittency of solar energy. So thatbefore the ED is carried out, solar radiation forecasting iscarried out using LSTM. To measure the accuracy offorecasting, RMSE, MSE MAE, and MAPE are used withaverage results of 6.311, 40.11, 4.61, and 4.87. With theapplication of ED, the minimum generation cost is obtained forthe production of electric power generated while stillconsidering the constraints. Through ED, fuel allocation can beoptimized, helping to reduce production costs and carbonemissions, and making a positive contribution toenvironmental sustainability. To improve ED results in thesailfish optimizer, the use of simulated annealing is added sothat the results have lower total cost and emission values thanED without simulated annealing. Rp 128.024 and 398 kg,respectively.
Sizing of Energy Storage Systems in Electric Vehicles based on Battery-Supercapacitor Technology Alfani, Denny; Adityanugraha, Dimas Febry; Putri, Vita Lystianingrum Budiharto; Pamuji, Feby Agung
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.388

Abstract

The purpose of this research is to determine the ideal hybrid energy storage system (HESS) size with the goal to improve the effectiveness and efficiency of combined battery and supercapacitor energy storage in electric vehicles. The research uses Mixed Integer Linear Programming (MILP) to determine the most suitable configurations using simulation data from a modeled electric vehicle. The results show that MILP works at identifying the specific capacity needs of the storage system, which change based on the vehicle's power and energy capacity. The innovation provides a paradigm for the development of sustainable and highly efficient electric vehicles in the future, while also enhancing the functionality of current electric vehicles.
Fault-Tolerant Control for Multi-Quadcopter with Suspended Payload under Wind Disturbance FARRAS, ALIF AL; SANTOSO, ARI; NUGRAHA, YURID EKA
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.406

Abstract

Delivering payload with multiple quadcopters necessitates a reliable backup system. This research introduces a fault-tolerant design specifically for multi-drone payload transportation. The system employs formation control, ensuring the weight is evenly distributed among all functioning drones. This research tackles the challenge of reliable payload delivery with multi-drone systems. It proposes a new fault-tolerant control system specifically designed for this purpose. The system addresses a limitation in existing solutions by incorporating a simple PD controller alongside a fault-tolerant strategy. This approach allows the system to maintain operation even if a drone malfunctions. The paper further demonstrates the system's effectiveness through simulations. Results show the system's ability to maintain stability with minimal altitude loss (only 6.3cm) and rapid position reconfiguration (within 3.96 seconds) even under windy conditions. These findings highlight the potential of this fault-tolerant design to significantly improve multi-drone payload delivery, especially for missions requiring high levels of stability and redundancy.
Analysis of Breakdown Characteristics in Nanofluid Insulation Materials with Metal Particle Contamination Mubarok, Abdul Fattah; Asfani, Dimas Anton; Negara, I Made Yulistya; Fahmi, Daniar; Subekti, Hakim
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.408

Abstract

Optimal insulation in transformers is essential to maintain their performance and reliability. However, insulation-related problems, particularly transformer oil contamination, often result in premature transformer failure. To address this issue, a solution has been proposed in the form of a nanofluid, a mixture of transformer oil, and nanoparticles. This study aims to investigate the impact of metal particle contamination on the breakdown and levitation voltage characteristics of nanofluids as liquid insulating materials. The nanofluids were prepared by mixing mineral oil with Fe3O4 nanoparticles at three different concentrations. Tests were conducted to evaluate the AC breakdown and levitation voltages for various contaminant metal particle sizes. The experimental results demonstrate that contaminant particle size has a significant impact on the breakdown voltage. The nanofluid with a concentration of 0.008% Fe3O4 exhibited superior breakdown voltage performance compared to mineral oil and 0.016% Fe3O4 nanofluid. Furthermore, an increase in the levitation stress was observed as the contaminant particle size increased. The findings of this study emphasize the importance of controlling contamination and selecting the appropriate concentration of nanoparticles to enhance transformer insulation performance. This study also highlights the necessity of monitoring the size of contaminant particles to prevent potential damage. Consequently, this study makes a significant contribution to the advancement of more reliable and efficient transformer insulation technology.
Controlling a Quadcopter with Static Loads and Dynamic Wind Disturbances using a Fuzzy Inference System Azka, Aida; Santoso, Ari; Agustinah, Trihastuti
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.410

Abstract

Maneuverability, hover, and simple mechanical design are the advantages of quadcopters. However, because quadcopters are smaller and lighter, they are more susceptible to wind than manned aircraft. The winds that cause air accidents are divided into several categories, namely downburst, turbulent wind, wind shear, and wind vortices. Disturbances and uncertainties, such as wind gusts, can result in difficulties in executing a mission on an accurate flight path. Quadcopter resilience is an important topic for UAV. Especially if the quadcopter is in terrain that is difficult for humans to reach. Hence, the system is susceptible and experiences reduced stability. Controlling a quadcopter with a cube-shaped static load to withstand turbulent wind gusts in this research uses robust Fuzzy Inference System control and trajectory control using LQR with Command-Generator Tracking. The results achieved through fuzzy control can fortify the quadcopter against half of the overall turbulent wind gusts with an RMSE of 0.0546. In contrast with the LQR-CGT control, which still exhibits an RMSE of 0.0795.
Depth Image Assisted Aiming for Scoring Goal in Wheeled Soccer Robot Kusuma, Hendra; Samhan, Dzulfikar Ahmad; Tasripan, Tasripan; Dikairono, Rudy
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.268

Abstract

Wheeled soccer robot, as an automatic robot, required to have an advanced decision making system based on information it grasp from its surrounding. One of the most crucial decision making ability is to determine aiming angle when it is scoring goal.This research will enhance the aiming ability for scoring goal by predicting unguarded area of goal. Combination of depth image and RGB image information will be used to predict the position of unguarded space in goal. This position will be converted into aiming angle for the robot. Intel Realsense D435i depth camera will be used to get RGB and depth image simultaneouslyBy using this method, the system is capable to predict unguarded area in all of 60 test points, with 1.3% average error for the predicted coordinate.

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