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Arif Afandi
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FRONTIER ENERGY SYSTEM AND POWER ENGINEERING Electrical Engineering, Universitas Negeri Malang Jl. Semarang 5, Malang 65145, Jawa Timur, Indonesia
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Frontier Energy System and Power Engineering
Published by Universitas Negeri Malang
ISSN : -     EISSN : 27209598     DOI : http://dx.doi.org/10.17977/um049v2i1p1-6
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy
Frontier Energy System and Power Engineering, FESPE, is an International Journal registered at e-ISSN: 2720-9598. FESPE is officially published by Electrical Engineering, State University of Malang, Indonesia. This journal is the Peer Review and Open Access International Journal, published twice a year in January and July relating to the broad scope of the Energy System and Power Engineering. FESPE provides a flagship forum for academics, researchers, industry professionals, engineers, consultants, managers, educators, and policymakers who work in engineering to contribute and disseminate new innovative works in energy systems, power engineering, and other related themes.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 29 Documents
 1   2   3 
Home Energy Security Prototype using Microcontroller Based on Fingerprint Sensor Nusantar, Alrizal Akbar Nusantar Akbar; Zaeni, Ilham Ari Elbaith; Lestari, Dyah
Frontier Energy System and Power Engineering Vol 1, No 2 (2019): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (259.022 KB) | DOI: 10.17977/um049v1i2p19-29

Abstract

The globalization era brings rapid development in technology.The human need for speed and easiness pushed them toinnovate, such as in the security field. Initially, the securitysystem was conducted manually and impractical compared tonowadays system. A security technology that is developed wasbiometric application, particularly fingerprint. Fingerprintbasedsecurity became a reliable enough system because of itsaccuracy level, safe, secure, and comfortable to be used ashousing security system identification. This research aimed todevelop a security system based on fingerprint biometric takenfrom previous researches by optimizing and upgrading theprevious weaknesses. This security system could be a solutionto a robbery that used Arduino UNO Atmega328P CH340 R3Board Micro USB port. The inputs were fingerprint sensor, 4x5keypad, and magnetic sensor, whereas the outputs were 12 Vsolenoid, 16x2 LCD, GSM SIM800L module, LED, andbuzzer. The advantage of this security system was its ability togive a danger sign in the form of noise when the systemdetected the wrong fingerprint or when it detects a forcedopening. The system would call the homeowner then. Otherthan that, this system notified the homeowner of all of theactivities through SMS so that it can be used as a long-distanceobservation. This system was completed with a push button toopen the door from the inside. The maximum fingerprints thatcould be stored were four users and one admin. The admin’sjob was to add/delete fingerprints, replace the home owner’sphone number, and change the system’s PIN. The resultsshowed that the fingerprint sensor read the prints in a relativelyfast time of 1.136 seconds. The average duration that wasneeded to send an SMS was 69 seconds while through call was3.2 seconds.
Evaluation of Unbalanced Load Impacts on Distribution Transformer Performances Agung Pratama, Nurul; Rahmawati, Yuni
Frontier Energy System and Power Engineering Vol 2, No 1 (2020): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.07 KB) | DOI: 10.17977/um049v2i1p28-35

Abstract

Distribution transformers are useful as converters of electrical energy from higher to lower voltage levels. These parts also contribute to feeding energy to consumers. Technically, these transformers are required by many operational constraints. In general, the voltage drop should not exceed 5 % while the current imbalance should not exceed 10 %. In fact, these conditions are depended on the system performances. These works are addressed to explore these requirements based on operational power loading. Moreover, these studies are also focused on voltage and current profiles which are assessed to evaluate and maintain the quality of power transformers on the distribution system. Moreover, the evaluation is also concerned with unbalanced load impacts on transformer performances. Results show that voltage and current qualities are not meet the standards of the electricity system. The highest voltage condition is 237 volt while the unbalanced factor is over 2 % for each phase and the highest imbalance factor is covered in 7.73 %. The highest current imbalance factor reaches 41.9 % with various individual unbalance impacts.
Load Impact Analysis Towards Power Loss in Distribution Substation in Wlingi District Setyawan, Tony Agus; rahmawati, yuni
Frontier Energy System and Power Engineering Vol 1, No 1 (2019): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.161 KB) | DOI: 10.17977/um049v1i1p27-33

Abstract

This research aimed to find: (1) the distribution substations configuration in Kesamben Feeder, Wlingi District, (2) how much was the loading in those distribution substations, (3) how much load imbalance in the distribution substation’s load, and (4) how much was the power loss towards the imbalance load. This research used descriptive analysis by analyzing the loading imbalance towards the power loss of distribution substation in one feeder. The results showed that the higher percentage of loading imbalance meant higher power loss. However, although an imbalance percentage was more significant than a smaller percentage, the power loss that occurred might be more substantial due to the probable higher loading percentage so that the power loss in the substation was also influenced by the loading value, apart from the load imbalance.
Optimization of AVR in Micro-hydro Power Plant Using Differential Evolution (DE) Method Firmansyah, Rio; Ali, Machrus; Ajiatmo, Dwi; Raikhani, Agus; Siswanto, Makhaban
Frontier Energy System and Power Engineering Vol 2, No 1 (2020): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.28 KB) | DOI: 10.17977/um049v2i1p1-6

Abstract

Micro-hydro Power Plant had three primary components: water (as the energy resource), turbine, and generator. Water that flew in a specific capacity was channeled from a certain height to the installation house (turbine house). In the powerhouse, the water installation pounded the turbine that made the turbine received direct energy from the water and turn it into mechanical energy and caused the turbine shaft to spin. Changes in the loading could cause fluctuation in the system’s frequency and voltage. This problem could damage electrical equipment. Therefore, the Automatic Voltage Regulator (AVR) was used to control and stabilize the voltage. This research used PID controller to obtain the optimized control parameter in the Micro-hydro Power Plant. This research compared the simulations of without control method, with PID-ZN control method, and with PID-DE method to obtain the best control method. The comparison simulations showed that the best response in the micro-hydro plant and the AVR system was from the PID-DE controller. These results might be a reference for future research with other methods that might generate better results.   
Evaluation of Power Distribution based on Power Losses on Transmission Interconnection Agustina, Mega; Afandi, A. N
Frontier Energy System and Power Engineering Vol 1, No 2 (2019): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.069 KB) | DOI: 10.17977/um049v1i2p30-25

Abstract

This paper discusses the analysis of continuity of power delivery and network losses in the scenario of adding 150 kV to the Malang Raya transmission network. The discussion in this paper is based on the increasing load growth conditions in Malang Raya and the condition of the Malang 150 kV main system which is centralized in the Kebonagung Substation so that a scenario of adding 150 kV transmission network interconnection is needed to increase the capacity, reliability, and improvement of the Malang Raya system. Based on the simulation results before the scenario of adding 150 kV transmission network losses in the poor 150 kV main system by 0.02 MW, whereas after the scenario of adding 150 kV transmission network the overall losses in the 150 kV main unfortunate main system were 0.009 MW.
Monitoring and Controlling The Hybrid System Using The Internet Of Things For Energy Transaction Wibowo, Sulton Ari; Lestari, Dyah
Frontier Energy System and Power Engineering Vol 1, No 1 (2019): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.043 KB) | DOI: 10.17977/um049v1i1p1-9

Abstract

The electrical energy is an energy that is needed by the people. Theelectrical energy, to date, came from several power plants, such aselectric steam power plants and diesel power plants. The communitymust pay the service provider, such as the State ElectricityCompany (PLN) with a rising cost, to obtain electrical energy.However, there were other alternative energies, for example, solarpower plants and windmill power plants. The hybrid system is acombination of two or more different energy sources to meet thedemand. The hybrid system was also expected to solve the problemthat might arise in utilizing other energies, the site condition, andthe unpredicted situation on the power plant. The solution to theseproblems was a hybrid using a monitoring device with ACS 712sensor current parameter, ZMPT101B voltage sensor, LDR solarsensor, hybrid electrical energy power, controller for four electricalsource inputs and three electrical sources for the output load. Thedevice used Arduino Mega 2560 for data processing, ESP 8266 asthe module to connect the device to the internet network and relayas the control actuator. Monitoring and controlling the device usedthe internet network and the implementation of the Internet ofThings (IoT) on the hybrid system plants (PLN, generator, solarpower plant, windmill power plant) that was integrated into thewebsite. The overall test resulted in the comparison average errorvalue between the device and the measuring instrument of thecurrent, voltage, and power. The test also resulted in the averageerror value of the response time for the four input contacts and threeoutput contacts. The average error value of the current was 2.13%,the average error value of the voltage was 0.7%, and the averageerror value from the power parameter was 0%. Meanwhile, theaverage error value of response time was 0.23 seconds. Based onthe above results, it can be concluded that the monitoring andcontrolling system from the website with the implementation of theIoT in the hybrid power system was worked following the design.
Study of Technical and Non-technical Factors in Energy Consumption on 20 kV Distribution Networks Pamungkas, Mikael Abimanyu Putra; Priharto, Dwi; Putranto, Hari
Frontier Energy System and Power Engineering Vol 1, No 2 (2019): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.088 KB) | DOI: 10.17977/um049v1i2p1-6

Abstract

This research aimed to find the technical and non-technical losses that occurred on the 20 kV Tawangrejo Feeder network by calculating the electricity losses after measurement and the calculated losses, made an application to calculate the losses, and determined the improvement alternative from the suitable electricity losses. Based on the data analysis, the conclusions were: Tawangrejo Feeder used mesh configuration with a three-phase four-wire construction model. The values of power and energy losses in total, technical, and non-technical were fluctuating, depended on the current value that was sent from the primary substation to the load. This power loss calculation application had a high accuracy because the error occurred at a maximum of 0.0021%. The most effective power loss improvement was replacing the conductor duct that reduces 56% of power and energy losses.
Load Frequency Control in Single-Area Power System Using Integral Control and Proportional Integral Budi Wicaksono, Bagas; Wati, Trisna
Frontier Energy System and Power Engineering Vol 2, No 1 (2020): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.318 KB) | DOI: 10.17977/um049v2i1p7-10

Abstract

Load Frequency Control (LFC) had a vital role in the power system. To supply excellent quality electricity, LFC was required as the frequency stabilizer in the power plant because electrical energy should have a stable frequency (49–51 Hz in Indonesia). The unstable frequency in the power plant could potentially damage the household electronic devices that used the electricity from the power plant. The electrical energy frequency was influenced by generator speed rotation. When the load was high, the generator would have a slower rotation speed. The opposite also occurred; when the load was low, the generator rotation speed would increase. Thus, a surge in frequency would happen and could damage electronic devices. The LFC was the solution to this problem. This article used LFC equipped with Integral control and Proportional Integral simulated using MATLAB-SIMULINK and then conducted a comparison on both controllers.
Energy Management System In Utility Grid Solar Cell And Battery For Power Stability Ari Rahmawan, Novid; Effendy, Machmud; Nurhadi, Nurhadi
Frontier Energy System and Power Engineering Vol 2, No 2 (2020): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v2i2p26-33

Abstract

A higher electric power generation was needed along with the increasing human populations and the development of technology. The use of renewable energy could act as an alternative way to solve the growing load demand. However, renewable energy faced an obstacle because electrical power could not be continuously built to fulfil the load’s requirement.  Transferring energy could help balance the energy and the system. Thus, the Energy Management System was needed to meet the stable and continuous load’s requirement. In this thesis, the Energy Management System was chosen as the scheduling system for DC’s grid with the PV as the renewable energy. The PV was connected on-grid to the utility network; thus, the power could be exchanged with the utility grid. A battery was used as the extra reserve energy supply when the highest loads happened. Based on the results, filling schedule of power was conducted by importing power when the load power requirement was less than 25 kW and no energy was generated from the PV. Furthermore, when there was power generation in the PV, the EMS would schedule the power at the incoming PV to meet the load when the generated power was higher than the required. The use of batteries as a backup energy source was utilised when the load requirement was greater than 25 kW because the battery here served to meet the power requirements when peak loads occur. The results also followed the EMS scheme, where the load’s demand was fulfilled entirely with precise scheduling. Finally, the strain on the DC bus was successfully maintained at 48 VDC to avoid energy decreasing.
Low Cost and Reliable Energy Management in Smart Residential Homes Using the GA Based Constrained Optimization Alsallout, Amjad; Tutkun, Nedim
Frontier Energy System and Power Engineering Vol 2, No 2 (2020): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v2i2p16-25

Abstract

Recently smart grids have given chance to residential customers to schedule operation times of smart home appliances to reduce electricity bills and the peak-to-average ratio through the demand side management. This is apparently a multi-objective combinatorial optimization problem including the constraints and consumer preferences that can be solved for optimized operation times under reasonable conditions. Although there are a limited number of techniques used to achieve this goal, it seems that the binary-coded genetic algorithm (BCGA) is the most suitable approach to do so due to on/off controls of smart home appliances. This paper proposes a BCGA method to solve the above-mentioned problem by developing a new crossover algorithm and the simulation results show that daily energy cost and peak to average ratio can be managed to reduce to acceptable levels by contributing significantly to residential customers and utility companies.

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