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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 175 Documents
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Dissolved Oxygen Regulatory System Using Fuzzy Logic Method Based on Teensy Board Microcontroller Fajar Budiman; Muhammad Rivai; Luthfi Riadhi; Devy Kuswidiastuti
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 1 (2019): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i1.74

Abstract

Dissolved oxygen in water becomes a critical factor in the cultivation of fish hatcheries that determines the success/failure rate in the process of improving the quality and quantity of fish hatcheries. Low dissolved oxygen levels cause deficient to the process of decomposition, reproduction, and growth of fish. In this study, a system that can regulate the levels of dissolved oxygen in water is designed and built by utilizing the Dissolved Oxygen Meter of AZ-8403 as a sensor. The percentage of oxygen in water is controlled by Fuzzy Logic implemented in the Teensy board microcontroller. When the oxygen level is below the setting point, the aerator is then activated to produce dissolved oxygen in the water. The test results conducted on the aquarium containing fish obtained error for the reading of dissolved oxygen sensor of 0.075%. The system response requires 1 minute to reach the setting point.Keywords: dissolved oxygen, fuzzy logic control, teensy board.
Use of Hybrid Phase Shifter for Congestion Management in A Grid with RESs and EVs: Transmission Efficiency Benefit in Comparison with Phase Shifting Transformer Salah Eldeen Gasim Mohamed
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 1 (2020): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i1.92

Abstract

Integration of renewable energy sources (RESs) and electric vehicles (EVs) to electric power grids is increasing. These RESs and EVs may introduce major problems to grid such as transmission lines congestion. Owing to the causative factors nature, congestion may regularly happen and continue forlong commulative time. Thus, transmission efficiency (TE) is a major factorwhen relieving congestion. Congestion can be relieved by using phase shifting transformers (PSTs), hybrid phase shifters (HPSs), or flexible AC transmission system (FACTS) devices. However, PSTs have technical drawbacks such as their large steps, which may result in increased losses, and FACTS devices cost is high. This paper investigates benefits of using an HPS rather than a PST in terms of TE. As HPS operates continuously, it provides more precise control of active power flow than PST. A modified IEEE-14 bus test system is used and a security margin is kept in each simulated case with HPS/PST. Results revealed higher TE when an HPS is used. Thus, RESs and EVs can be more optimally hosted with HPSs.Keywords: electric vehicles, grid flexibility, hybrid phase shifter, phase shifting transformer, renewable energy sources, transmission efficiency.
Fuzzy Logic Control Design on Buck Converter For Thermo Electric Air Cooler Power Supply Muhammad Wildan Alim; Novie Ayub Windarko; Renny Rakhmawati
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.137

Abstract

The air conditioning system that is commonly used today is an Air Conditioner (AC). Unfortunately, this system is a big contributor to global warming. Often times, we find that air conditioners are only used to cool only a small part of a room for individual comfort. Therefore, a new breakthrough is needed from a cooling system that does not use chemicals so that it is environmentally friendly, namely using the Thermo Electric Cooler (TEC) cooling module which utilizes the cold side of the Thermo Electric Cooler (TEC). The size of the DC input voltage on the Thermo Electric Cooler (TEC) is adjusted using a buck converter with fuzzy control. When the buck converter closed loop condition with fuzzy control has a rise time value, the settling time and error percentage have a relatively better value than the open loop condition. When the buck converter set point 40V, the minimum water temperature in the air cooler can be reached 220C, when the buck converter set point is 48V the minimum water temperature in the water cooler can be reached 190C, and when the buck converter set point is 56V the minimum water temperature in the air cooler can be reached 180C. When the water cooler uses air cooler by Peltier, the input air temperature and output air temperature decrease in temperature around 10C. this is caused by the evaporative effect caused by water cooled by the peltier.Keywords: buck converter, cooler, fuzzy, thermo electric cooler. 
Design of Motor Current Signature Analysis (MCSA) Based on LabVIEW for Online Detection of Induction Motor Faults Dimas Anton Asfani; Soedibyo Soedibyo; I Made Yulistya Negara; Daniar Fahmi; Muhammad Eko Septiawan; Mochammad Wahyudi; Neisya Islamey Rifma
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.20

Abstract

Induction motor is the most common used electric motor in industry. Along with its operation, induction motor can savere certain damage which is generally dominated by internal fault, such as s rotor fault, stator fault, and bearing fault. In this paper, the online detection based on motor current signature analyses (MCSA) for such faults was designed using LabVIEW. MCSA was performed to obtain the frequency which indicated the presence of certain damage of induction motor. The experimental result showed that the accuracy of proposed method reached 90 %. Keywords: induction motor; online detection; rotor fault; stator fault; bearing fault; MCSA.
Firefly Algorithm and particle Swarm Optimization for Economic Dispatch Optimization at PLTU Tanjung Jati B Pressa Perdana Surya Saputra
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 2 (2018): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i2.51

Abstract

The definition of economics dispatch (ED), that is how to get a minimum operating cost and still meeting existing constrain. Some methods to solve this problem, that is by using Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). In this research, FA and PSO method try applied to ED at PLTU Tanjung Jati B. the results show that PSO method produces a combination of generating power at a more economical and stable cost compared to the FA method. however, both are very well used in economic dispatch problems Keywords: Economic Dispatch, Firefly Algorithm (FA), PSO
Electromagnetic Field Analysis on Asymmetrical Three Phase Transformer Arief Budi Ksatria; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Muhammad Sulthon Novera Rega
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 1 (2019): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i1.69

Abstract

This study deals with the effect of core lamination thickness on asymmetrical three-phase transformer to hysteresis curve. The asymmetrical three-phase transformer is a transformer that has different leg-length. The used transformer in this research has 5-kVA rating, and E-I core-cutting topology, and a larger leg size on center compared to the the side-legs of the transformer. Research on the effect of transformer core lamination thickness was done using finite-element method (FEM) to find out the magnetic field density (B) distribution and magnetic field intensity (H) at some points which the flux distribution flows. Variables of thicknesses used in the study were either intact or non-laminated-core transformer, 2.5 cm-laminated transformer core, and 0.03 cm-laminated transformer core. Each transformer has 39 monitor points to obtain the maximum value of B and H. Based on the simulation results, the highest magnetic field density value is in the transformer with 0.03 cm-laminated core, which is 2.174 Vs/m2 and the magnetic field density with the highest absolute average is in a transformer with a non-laminated-core, which is 1.837 Vs/m2. At the branching point of the core-cutting of the transformer with 0.03 cm-laminated transformer core have the highest magnetic field intensity value compared to the non-laminated-core transformer and 2.5 cm-laminated.Keywords: asymetrical leg, electromagnetic field, finite element method, hysteresis curve, three phase transformer.
Bidirectional Power Flow Control in AC/DC Hybrid System under AC and DC Fault Conditions Wai Wai Hnin; Zarchi Linn; Soe Win
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 2 (2019): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i2.98

Abstract

This paper presents a hybrid AC-DC microgrid to reduce the process of multiple conversions in an individual AC microgrid or DC microgrid. The proposed hybrid microgrid compose of both AC microgrid and DC microgrid connected together by bidirectional interlink converter (BIC). Utility grid, 150kVA diesel generator (DG) and 100kW AC load are connected in AC microgrid. DC microgrid is composed of 100 kW photovoltaic array (PV), 20kW battery energy storage system (BESS) and 20kW DC load. The droop control technique is applied to control the system for power sharing within the sources in AC/DC hybrid microgrid in proportion to the power rating. When the faults occur at AC bus, protection signal applied to breaker for isolating the healthy and faults system. DC faults occur at DC bus, DC breaker isolate the AC and DC bus. The system performance for power flow sharing on hybrid AC-DC microgrid is demonstrated by using MATLAB/SIMULINK.Keywords: AC fault, DC fault, droop control, hybrid microgrid, power flow. 
Predictive Duty Cycle of Maximum Power Point Tracking Based on Artificial Neural Network and Bootstrap Method for Hybrid Photovoltaic/ Wind Turbine System Considering Limitation Voltage of Grid Feby Agung Pamuji; Nurvita Arumsari; Mochamad Ashari; Hery Suryoatmojo; Soedibyo Soedibyo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.119

Abstract

In this paper, we propose a new control-based the neural network and bootstrap method to get the predictive duty cycle for the maximum power point of hybrid Photovoltaic (PV) and Wind Turbine generator system (WTG) connected to 380 V grid. The neural network is designed to be controller by learning the data control of multi-input DC/ DC converter. The artificial neural network (ANN) needs many data for training then the ANN can give the predictive duty cycle to multi input DC/ DC converter. To get much data, we can use the bootstrap method to generate data from the real data. From Photovoltaic characteristic, we can get 344 real data after the data are made by bootstrap method we can get 8000 data. The 8000 data of PV can be used for training artificial neural network (ANN) of PV system. From wind turbine characteristic we can get 348 real data after the data are made by bootstrap method we can get 6000 data. The 6000 data of WT can be used for training artificial neural network of WT system. This new control has two responsibilities, are to shift the voltage of PV and WTG to optimum condition and to maintain the stability of grid system. From the simulation results those can be seen that the power of hybrid PV / WTG system using MPPT controller is in maximum power and has constant voltage and constant frequency of grid system.Keywords: bootstrap, maximum power tracking, neural network, stability.
Approach of Improved Topology Development Protocol In Ad Hoc Network Minimizing The Number of Hops and Maintaining Connectivity of Mobile Terminals Which Move From One To The Others Lipur Sugiyanta
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.11

Abstract

Wireless ad-hoc mesh network is a special kind of network, where all of the nodes move in time. Node is intended to help relaying packets of neighboring nodes using multi-hop routing mechanism in order to solve problem of dead communication. Wireless mesh network which engages broadcasting and contains multiple hops become increasingly vulnerable to problems such as routing problem and rapid increasing of overhead packets. During this progress, the delay on account of multi hop characteristics and redundant packets caused by communication nature potentially existed during communication. Typically, delay will increase in linearity with number of hops. There is a certain minimum level of delay that will be experienced due to the time it takes to transmit a packet through a link. Topology development holds a significant point prior to the data transmission. Without improved topology development protocol, this problem can decrease network’s performance in overall data transmission. We analyze the delay performance of a multi-hop wireless network with a dynamic route between each source and final destination pair. There are fluctuate interference constraints on the set of links that impose a fundamental delay performance of any instant network topology. At first, we present a similar Link State Routing network simulation to derive such referential lower bounds. We conduct extensive simulation studies to suggest that the average delay of multi-hop transmission policy can be made lower compared to the referential bound by using appropriate functions of network metrics. This paper provides a broadcast framework that engages various network metrics and at the same time maintaining connectivity of nodes (mobile terminals). The framework captures the essential features of the wireless network metrics, i.e. bandwidth, throughput, network buffer, direction, and round trip time. This research is useful since, in many cases, it find that the throughput is the most important parameter in reduction of delay transmission. This result is confirmed with another composite simulation result. Most of network hop delay is impacted with this composite metric, particularly in delay minimization on the longer hops. The reduction achievement on average delay by this algorithm is 0.577% and the total average delay reduction for this simulated network is 0.683%. This research will be further designed primarily for achieving maximum throughput in the multiple wireless network area. Keywords: multi-hop; delay; connectivity; metrics
Dynamic Economic Dispatch On Micro Grid Electrical Systems Using Quadratic Programming Heri Suryoatmojo; Fakhruddin Wirakusuma; Rony Seto Wibowo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 1 (2018): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i1.39

Abstract

Currently the needs of electric power increased rapidly along with the development of technology. The increase in power requirements is contrary to the availability of sources of energy depletion of oil and coal. This problem affects the national electrical resistance. To meet the needs of large electric power with wide area coverage is required small scale distributed power generation. This distributed generation (DG) of renewable energy sources sought to minimize the use of energy resources such as oil and coal and connected to the micro grid and use the battery as a power balance. Because of there are many DGs and the use of batteries, therefore it is important to determine the optimal power generation of each plant as well as the use of battery based on the optimal capacity so that requirement of electric power can be met with minimal cost each time. This optimization is known as Dynamic Economic Dispatch. In this study, the methods of Quadratic Programming is required to solve the optimization problem.Keywords: micro grid, Dynamic Economic Dispatch, Quadratic Programming, Battery, Energy Storage

Page 3 of 18 | Total Record : 175

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