cover
Contact Name
Arif Afandi
Contact Email
fespe@um.ac.id
Phone
+62341 - 573090
Journal Mail Official
fespe.journal@gmail.com
Editorial Address
FRONTIER ENERGY SYSTEM AND POWER ENGINEERING Electrical Engineering, Universitas Negeri Malang Jl. Semarang 5, Malang 65145, Jawa Timur, Indonesia
Location
Kota malang,
Jawa timur
INDONESIA
Frontier Energy System and Power Engineering
ISSN : -     EISSN : 27209598     DOI : http://dx.doi.org/10.17977/um049v2i1p1-6
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.
Articles 29 Documents
FRONT COVER INSIDE -, -
Frontier Energy System and Power Engineering Vol 1, No 1 (2019): January 2019
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3743.687 KB) | DOI: 10.17977/um049v1i1p%p

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Implementation of Gyrinops Versteegii Gaharu Leaves as a Dye-Sensitized Solar Cell Mashari, Reza Maulana; Prihanto, Dwi
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 (231.749 KB) | DOI: 10.17977/um049v1i1p10-13

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Dye-Sensitized Solar Cell (DSSC) is a photoelectrochemical solarcell that uses electrolytes as the cargo transport medium. Gratzeldeveloped it as an alternative resource through the discovery of thelatest solar cell material by mimicking the photosynthesis processcalled photo-electrochemical reactions. According to the researchof Saputra, flavonoids can be used as dyes in Dye-Sensitized SolarCells, while Yanti in 2014 studied the agarwood leaf extract thatcontained flavonoids and chlorophyll. This study aimed to design,build, and test Dye-Sensitized Solar Cell by testing the lightabsorption, and the Performance of Dye-Sensitized Solar Cell usingAgarwood Chlorophyll. This research extracted the Gyrinopsversteegii that was grouped into young, medium and old leaves.With the same dose of extract, 15 grams of agarwood leaves weredissolved in 96% ethanol for 100 ml. The results showed that eventhough the maximum absorption power was the same, or 4.00, themedium leaves absorbed the light more than its wavelength range.The DSSC performance test results obtained the voltages of theyoung, medium, and old agarwood leaves that were 0.398 V, 0.399V, and 0.369 V. The currents of those leaves were 0.01 mA, 0.01mA, and 0.01 mA respectively.
Linear Trend Application on the Estimated Age of Distribution Transformer Based on the Load Growth and Environmental Temperature Azhar, Fadly; Rahmawati, Yuni; Fadlika, Irham
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 (564.927 KB) | DOI: 10.17977/um049v1i2p7-12

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This research aimed to find the age loss of distribution transformer based on the load growth and ambient temperature to predict the remaining age of the transformer. This research used the remaining estimation age calculation based on load growth that was predicted using the linear trend analysis. The distribution transformer in this research was the BO043 200 kVA, installed in 2012, and was operated in Bolo Feeder, Woha District, Bima Regency. The results showed that the BO043 transformer was operating at the average ambient temperature of 28℃ with the optimum loading threshold of 92.77% from its power rating. The transformer would experience age reduction if the load given were above that value. The calculation results showed that the BO043 transformer had the estimated remaining age of 4 years from the standard 23 years with the 2019 load prediction of 83.39% and up to 115.94% load prediction in 2022.
Buses and Branch Performances Considering Load Changes of The 150 kV Transmission Line in Malang Area Afina, Nimas; Afandi, A.N.; Fujita, Goro
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 (365.823 KB) | DOI: 10.17977/um049v2i1p11-17

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This paper examines the power flow based on load value conditions that have ascended in the 150 kV transmission system in the Malang Area. Simulations are carried out for several regions that may experience ascension load values. The simulation results show a significant change at some points, especially when the value of the load ascension is 25%. Whereas the ascension of 8.6% is not too significant considering this value is based on the production planning. These changes occur in the bus and branch of the 150 kV transmission lines which is needed for a network interconnection in the electricity system of Malang Raya as an effort to keep the ascension capacity and reliability, and to improves the quality of service to consumers.
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Frontier Energy System and Power Engineering Vol 1, No 2 (2019): July 2019
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1949.363 KB) | DOI: 10.17977/um049v1i2p%p

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Performance Comparative Analysis of Monocrystalline and Polycrystalline Single Diode Solar Panel Models using the Five Parameters Method Rahman, Rizal Akbarudin; Aripriharta, Aripriharta; Putranto, Hari
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 (184.326 KB) | DOI: 10.17977/um049v1i1p14-19

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The use of renewable energy as a source of electrical energyincreases every year. Unfortunately, Indonesia does not have manypower plants that utilize renewable energy sources. The mostpotential renewable energy in Indonesia is the sunlight with the helpof solar panels that converts solar energy into electrical energy.However, the environment could affect the solar panel module andin turn, affect the performance of solar panels or the generatedelectric energy. This research calculated the performance of solarpanels with a single-diode model using the Five Parameters methodthat required solar panel module specification data, the totalradiation absorbed by the solar panel module, and the temperatureof the environment. The Five Parameters method is a methodmodeled after solar panel module performance in the form of thesingle-diode equivalent circuit. The Five Parameters method isreliable in predicting the energy produced by the solar panels whenthe input data is limited. The results for using the Five Parametersin monocrystalline solar panels were Isc = 1.827 A, Imp = 0.662 A,Voc = 18.221 V, Vmp = 15.019 V, Pmp = 9.955 W. And the results inpolycrystalline solar panels were Isc = 1.926 A, Imp = 0.686 A, Voc =17.594 V, Vmp = 14.166 V, Pmp = 9.722 W. Based on the results; itwas concluded that the most efficient and optimised types of solarpanels on natural conditions in Sendang Biru Beach was themonocrystalline solar panel because it produced electrical outputpower of 9.955 W. Therefore, there could be a manufacturer ofsolar energy power plants to reduce the cost of electricity in thecoastal area, such as in Sendang Biru Beach.
Implementation of Artificial Neural Network Method for Estimating Connected Power and Electric Energy Consumption Nizaar, Roub; Handayani, Anik Nur
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 (313.697 KB) | DOI: 10.17977/um049v1i2p13-18

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Abstract—Electricity is vital for modern society’s welfare. Daily electricity usage depended on the customers’ type. Hence, there was a difference between the connected power with consumption. Therefore, there needed an estimation method for long-term connected power and energy consumption to improve the safety of energy management and operation plan for the generator. This research used the Artificial Neural Network method with a backpropagation algorithm model to estimate the connected power and electricity consumption. This method has the advantage of following past patterns after the training process. This research used data such as total population, Gross Regional Domestic Product, total customers, produced energy, remaining energy, distribution loss, total transformer, peak load, and load factor as the independent data. The energy consumption and connected power served as the dependent data. The data was taken from Srengat Network Service Unit, East Java, for ten years, which started in 2008. This research used literature study, information and data collection, information and data process, data estimation and analysis, and conclusion as the procedures. Based on the results, the best network structure was 9-9-2 with the 10-6 goal, 0.9 momentum value, and 0.15 learning rate to produce the smallest Mean Squared Error of 0.00442 in 2015, Mean Absolute Percentage Error of 7.88% for the connected power, and 11.27% on electricity consumption target.
Distance Relay Protection System Planning on Malang 150 kV Transmission Network Reconfiguration Prasetyo, Wisma; Chanif, Moh. Nuzulul; Fadlika, Irham
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 (815.775 KB) | DOI: 10.17977/um049v2i1p18-27

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This paper discusses the installation planning of distance relay protection systems in 150 kV Malang Raya transmission system reconfiguration. This study aims to minimize the disruption in the reconfiguration of Malang Raya transmission lines. The scenario of distance relay setting zones is divided into Pakis-Sutami substation, Sutami-Sengkaling substation, Sengkaling-Lawang substation, Lawang-Pakis substation. 3-phase fault scenarios with different fault locations according to the zone of protection. Based on the results of the simulation, Zone 1 scanned the disturbance at a distance of 27,616 km. Zone 2 scans disruption at a distance of 48.07 km. Zone 3 scans disruption at a distance of 59.29 km. With the installation of the distance relay protection system, it can be used as a reference to determine the distance or location of the disturbance.
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Frontier Energy System and Power Engineering Vol 2, No 1 (2020): January 2020
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3084.534 KB) | DOI: 10.17977/um049v2i1p%p

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Power Optimization of Electric Developments in Diesel Power Plant for the Electrical Energy Sources using Dynamic Programming Algorithm Haq, Sigit Prasetyo; Muladi, Muladi; Sendari, Siti
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 (893.928 KB) | DOI: 10.17977/um049v1i1p20-26

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The electricity need in the G4 Building at the State University ofMalang was more than 85 kVA. All electrical devices could beactivated; but when the energy source was inactive, all electricityrequirements were transferred to the diesel power plant (DPP).However, the electrical capacity of DPP was only 20 kVA;therefore, it was necessary to optimize the electrical power load sothat the DPP energy could be absorbed optimally using the roomscheduling and electrical devices priority systems. The DynamicProgramming Algorithm was embedded in the power optimizationsystem to help optimize the work. The power optimization prototypewas used to simulate the 1st floor of the G4 Building’s condition.The system consisted of a controller, a central controller, and auser interface. the controller comprised of a current sensor,microcontroller, and a relay. The central controller consisted ofRaspberry Pi 3 hardware that was installed as the server to answerthe HTTP request from the controller and user interface. The userinterface was displayed in a dynamic web to ease the user inmanaging the electrical devices and entering the room usageschedule. The power optimization system managed the electricalenergy from DPP by turning on the electrical devices according tothe priority value. The power optimization system tests were dividedinto six problems, of which each stage had an error value of 0%.

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