Andalas Journal of Electrical and Electronic Engineering Technology
Electrical power and energy: Transmission and distribution, high voltage, electrical energy conversion, power electronics and drive. Telecomunication and Signal Processing: Antenna and wave propagation, network and systems, Modulation and signal processing, Radar and sonar, Radar imaging; Radio, multimedia content, Routing protocols, Wireless communications, Signal Processing, Image Processing, Voice Processing. Control automation and Robotic: Robotics, Automation, Pattern Recognition, Biosignal Engineering, Control Theory, Applied Control, System Design, Optimization, Process Control, Sensor. Research in Electrical and Electronic Engineering Education.
Articles
81 Documents
<![CDATA[Fault Type Classification of 150 kV Transmission Line using Wavelet Multi-Resolution Analysis Method ]]>
<![CDATA[Novizon Novizon]]>;
<![CDATA[Nurfi Syahri]]>;
<![CDATA[Silvia Wulandari]]>;
<![CDATA[Tesya Uldira Septiyeni]]>;
<![CDATA[Rahadian Asneli Putri]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 2 (2021): November 2021 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v1i2.15
<![CDATA[To identify the fault, wavelet method is used in solving complex protection problems. This study uses a new approach, namely the wavelet multi resolution analysis method with its application where multi resolution analysis works to analyze signals at different frequencies with the same resolution. In this study, the classification of fault types that occur in the 150 kV transmission line quickly and accurately is carried out using the wavelet multi resolution analysis method. This research is included in applied research and was designed using computer simulation software, namely ATP and MATLAB. The data transmission system used is the Maninjau Hydroelectric Power Plant transmission line to Pauh Limo Substation. The modeled transmission system is given 1-phase to ground, 2-phase to ground, 2- phase, 3-phase and lightning faults. To determine the accuracy of this classification, the fault is varied according to the distance and impedance of the disturbance. From the analysis of the simulation results and calculations, based on the wavelet multi resolution analysis method used in fault classifying, the average value of the approximation coefficient used to classify the type of fault is obtained. Based on the results of the study, it can be said that all types of fault analyzed in this study have met the classification requirements using the wavelet multi resolution analysis method]]>
<![CDATA[Home Industry Powered Grid-Connected PV System an Economic Feasibility Study ]]>
<![CDATA[Kartika Sri Kumala Sari]]>;
<![CDATA[Wati Wati]]>;
<![CDATA[Syafii Syafii]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 2 (2021): November 2021 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v1i2.16
<![CDATA[This paper presents an analysis and feasibility of grid connected PV System for small scale home industry of welding workshop in Kambang Pesisir Selatan, Indonesia. The purpose of this paper is to analyze the feasibility of the on-grid PV system and obtain a comparison of the simulation results between the PV connected and only grid. The optimization results show that a feasible and optimal design configuration is a gid-connected PV system consisting of a Grid, PV system 3.48 kW, and a 5 kW inverter because it has a large intensity of solar radiation, which produces an economical generating system with a COE of Rp. 829/kWh, smaller than the basic cost of electricity provision that has been determined by the Ministry of Energy and Mineral Resources, which is IDR 1,058/kWh, in accordance with the criteria, the project is feasible to build.]]>
<![CDATA[The Effect of Wind Power Generation on Distance Relay Performance ]]>
<![CDATA[Adrianti Adrianti]]>;
<![CDATA[Syndy Maiyunis Firdaus]]>;
<![CDATA[Muhammad Nasir]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i1.17
<![CDATA[Wind Power Plants utilize induction generators to generate electrical power. This type of generator produces less short circuit current than synchronous generators; hence it may affect the operation of transmission line protection relays. This research aims to analyze the effect of a large-scale wind power plant connected to the transmission line on the performance of the distance relays. The study utilizes a simulation method using Digsilent Powerfactory on IEEE 5 bus test system. The performance of the distance relays is compared between the original system, and the system in one of its generators is replaced with a wind turbine generator. The simulations are carried out for 3-phase faults that consist of bolted short circuits, 1-ohm fault resistance and 10-ohm fault resistances. The results show that the relays performances in zone 1 are the same for all types of generations. For zones 2 and 3, depending on the relay's position, the reaches may increase or decrease when the generator is replaced by wind power. The increasing reach of the relays is due to the dropping of infeed effect felt by the relay after installation of wind power. While the decreasing reaches of some relays because they see less fault current from the wind generation. The other relays do not experience any changes. Fault resistances cause all relays to experience reduced reach.]]>
<![CDATA[Optimal PV Placement to Reduce Power Loss and Improve Voltage in Distribution Network System Using K-means Clustering Method ]]>
<![CDATA[Syukri Yunus]]>;
<![CDATA[Melda Latif]]>;
<![CDATA[Darwison Darwison]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i1.19
<![CDATA[Placing the PV in the right location will maintain the utility voltage, but if the placement of PV in the wrong location will cause the stability of the system to be affected. In this study, optimization of PV placement uses the K-means Clustering method. This method will group each node in the system from the point of view of operating characteristics LSF (loss sensitivity factor) and dV (voltage deviation). The results of grouping each bus with the K-means Clustering method will be the basis for determining the location of PV placement in the IEEE 37 and 69 bus distribution systems. In this method, grouping results are used based on the size of the proximity and have the same characteristics with each other. In determining the optimal location for PV placement, the addition of PV will reduce power losses and improve voltage. Optimal PV location placement in the IEEE 37 bus distribution system is placed on 3 buses with a power capacity of 60% where the value of power losses drops to 176.2 kW and the voltage profile is the best but there are some buses that are still under voltage and overvoltage. Meanwhile, the most optimal PV location for the IEEE 69 bus distribution system is placed on a 6 bus with a power capacity of 60% where the value of power losses drops to 149.5 kW and the voltage profile of each bus is in normal condition..]]>
<![CDATA[Design of Monitoring System for Hazardous Gas and Fire Detection In Building Based On Internet of Things ]]>
<![CDATA[Zaini Zaini]]>;
<![CDATA[Taffany Hudalil Alvy]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i1.20
<![CDATA[Fires and gas leaks are events that still occur frequently. This incident is usually caused by various factors including leakage of LPG gas cylinders, cigarette butts that are disposed of carelessly, short circuits of electric current and so on. Generally, fires and gas leaks can only be detected if the fire has already grown or a lot of smoke comes out of the building. Therefore, a monitoring system for detecting dangerous gases and fires in buildings based on the Internet of Things was created that can monitor the condition of the building through a website as well as send notifications to the Telegram application on smartphones. The detection system implemented uses a flame sensor as a fire detector, an MQ-2 gas sensor as a detector of hazardous gases (CO, CO2, and CH4), and NodeMCU as a module to transmit data. The system will work continuously in real time, if gas is detected that exceeds the threshold or a fire is detected, the system will send a notification to Telegram and the website will display the value and status of the sensor and a map of the area where the fire or gas leak occurred. The results of the detection system created to be able to provide solutions so that cases of fire and gas leaks can be handled early by detecting signs of fire or gas leaks and sending the information to users via the website and notifications.]]>
<![CDATA[A Review of Renewable Energy Development and Planning for an Island Province in Eastern Indonesia: Case Study of North Maluku ]]>
<![CDATA[Pinto Anugrah]]>;
<![CDATA[Subhan Petrana]]>;
<![CDATA[Heru Dibyo Laksono]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i1.21
<![CDATA[Indonesia intends to use renewable energy both locally and on a national scale. Regional energy planning must be developed by provincial governments in accordance with national energy planning (RUEN). One of the few provinces that has already published its regional energy planning is North Maluku Province. The ambition to use more renewable energy technologies for power generation is already taken into account in their regional energy planning. However, North Maluku Province may rely on renewable energy as their primary source of power because of the abundance of these resources. The purpose of this paper is to examine renewable energy development and planning in relation to the RUPTL 2021-2030 power development plan. This review gives an insight that North Maluku Province still have untapped renewable energy potential which can be developed in the future to increase its renewable shares in electricity mix as well as to enhance energy security and accessibility in the region.]]>
<![CDATA[Forecasting the Electricity Need for the Household Sector PT. PLN (Persero) Rayon Lhoksukon with Time Series Linear Regression ]]>
<![CDATA[Ummi Habibah]]>;
<![CDATA[Muhammad Muhammad]]>;
<![CDATA[Affitdal Randi]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i1.22
<![CDATA[Predictions of electricity demand such as connected power and the country's consumption of electrical energy continue to increase every year by population growth in Indonesia. This will cause the number of electricity customers to increase. PLN as a provider of electricity is important to predict long-term electricity demand as the direction of the company's economic policy to meet customer needs. This activity will be reviewed in the electricity distribution area of PT. PLN (PERSERO) Rayon Lhoksukon and its surroundings. Prediction of electricity demand is done through forecasting the number of electricity customers using the time series analysis method with regression from the previous data review from 2016 to 2019. The results show, the form of forecasting , results in the number of electricity customers in 2030 being 6005 customers or an average increase of 2 0.08%/year. The functional relationship between the number of subscribers and connected power is close to a straight line, approached by linear regression, in the form of , resulting in connected power in 2030 being 6927851.4 VA or an average increase of 2.51%/year . Meanwhile , the functional relationship between the number of customers and consumption of electrical energy is close to a straight line, approached by linear regression, in the form of , resulting in electrical energy consumption in 2030 being 67580665.04 kWh or an average increase of 1.15%/year]]>
<![CDATA[Design of Protection Relay Coordination Settings and Connecting to PLC Siemens S7-1500 For Load Shadding and HMI Display at PT. Semen Padang ]]>
<![CDATA[Heru Dibyo Laksono]]>;
<![CDATA[Mohamad Hanif Hakim]]>;
<![CDATA[Rahman Ikhlas]]>;
<![CDATA[Ridza Azri Ramlee]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.24
<![CDATA[There are some vital loads and must not extinguished on the production activities of PT. Semen Padang cause the operational costs to rerun are very large. To solve this problem, it is necessary to evaluate the coordination settings of protection relays and automatic control systems to supporting the production process of PT. Semen Padang so production efficiency can be maintained. The relay settings to be evaluated are inverse time and instantaneous overcurrent relays by coordinating the main relay, backup relay 1 and backup relay 2 from downstream to upstream load feeder. The designed control system is an automatic load shedding and HMI display that can visualizing the system in realtime using the PLC Siemens S7-1500 with simulating on the PLCSimulator of the TIA Portal 15.1 software. Based on the calculations carried out, there are significant differences in the relay settings from the calculation results with the existing state. the relays installed in the system do not coordinate properly in the existing state, while after the calculation of the coordination relays the relays coordinate well. From the design of the control system, an automatic load shedding program and the display of the HMI system in real time were produced.]]>
<![CDATA[Design and Construction of PDAM Water Use Monitoring Based on Internet of Things (IoT) ]]>
<![CDATA[Faisal Faisal]]>;
<![CDATA[Hambali Hambali]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.25
<![CDATA[Water is a natural resource that is very important for life in the world for humans, animals and other living things. In a settlement, there are two ways to provide clean water, namely piped and non-piped systems. The piping system itself is managed by the Regional Drinking Water Company (PDAM), which is a local government company that carries out the service function to produce drinking water and clean water for the community. The current problem occurs in the community and is detrimental to the community itself, namely the manual recording system of water usage meters, often the fees charged by the community are not in accordance with the usage meter used. For this reason, an automatic monitoring of water usage was designed. This tool uses a Waterflow to detect the amount of water consumption which is controlled with NodeMCU Esp8266, later monitoring of usage can be seen on the LCD and Thinger.io as a database. Testing this final project using a measuring cup as a comparison of the real water volume with the volume of the results read by the sensor. The test results of the final project will read the volume of water and the rate for usage fees with an error percentage of 0.3%. The resulting data can be monitored in real time through the thinger.io website and smartphones to make it easier to monitor remotely.]]>
<![CDATA[The Use of Artificial Neural Networks (ANN) in the Chayote Chips Dough Mixer ]]>
<![CDATA[Roza Susanti]]>;
<![CDATA[Zas Ressy Aidha]]>;
<![CDATA[Surfa Yondri]]>;
<![CDATA[Sir Anderson]]>;
<![CDATA[Tri Oktaviandra]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.27
<![CDATA[This study uses a backpropagation neural network to determine the evenness of the chayote chip dough. The Tcs3200 Color Sensor mounted on the stirrer alt is used as a sensor to determine the color of the chayote emping dough. A regression score of 1 indicates that the input and target data match in the test results of the artificial neural network, which has an objective error (MSE) value of 0.0096306 achieved in the 313th epoch. Changes in RGB color readings on the TCS sensor from min values ??<40 and max values>52 in mixing dough are influenced by distance and light intensity which will be converted in the form of frequency.]]>
