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Gedung Jurusan Teknik Elektro Lantai 2. Fakultas Teknik Universitas Andalas, Limau Manis, Pauh, Padang City, West Sumatra 25163
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Andalas Journal of Electrical and Electronic Engineering Technology
Published by Universitas Andalas
ISSN : -     EISSN : 27770079     DOI : -
Core Subject : Science, Education, Engineering,
Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering
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.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2022): May 2022" : 5 Documents clear
The Effect of Wind Power Generation on Distance Relay Performance Adrianti Adrianti; Syndy Maiyunis Firdaus; Muhammad Nasir
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.674 KB) | DOI: 10.25077/ajeeet.v2i1.17

Abstract

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.
Optimal PV Placement to Reduce Power Loss and Improve Voltage in Distribution Network System Using K-means Clustering Method Syukri Yunus; Melda Latif; Darwison Darwison
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.686 KB) | DOI: 10.25077/ajeeet.v2i1.19

Abstract

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..
Design of Monitoring System for Hazardous Gas and Fire Detection In Building Based On Internet of Things Zaini Zaini; Taffany Hudalil Alvy
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.43 KB) | DOI: 10.25077/ajeeet.v2i1.20

Abstract

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.
A Review of Renewable Energy Development and Planning for an Island Province in Eastern Indonesia: Case Study of North Maluku Pinto Anugrah; Subhan Petrana; Heru Dibyo Laksono
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v2i1.21

Abstract

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.
Forecasting the Electricity Need for the Household Sector PT. PLN (Persero) Rayon Lhoksukon with Time Series Linear Regression Ummi Habibah; Muhammad Muhammad; Affitdal Randi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v2i1.22

Abstract

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

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