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
Optimizing Single Axis Tracking for Bat Algorithm-based Solar Cell Ali, Machrus; Fahmi, Tubagus; Wida Khaidir, Delief; Nurohmah, Hidayatul; Budiman, Budiman
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/um049v2i2p1-5

Abstract

Adding the solar tracking control system was an attempt to increase the efficiency of solar panels. The solar tracking control system was a control system that follows the sun position. The purpose of this solar tracking system was to position the cross-section always to face the sun. The Single Axis system in solar tracking was intended to follow the sun’s angle or solar azimuth angle from the east to the west. There needed a control optimization to get the position as desired. Optimization often used artificial intelligence to obtain the automatic best optimization, such as Bat Algorithm (BA). This research compared several methods: without control, using PID control, using PID-Auto control, and using PID-BA control. The simulations showed that the smallest elevation angle deviation was found in PID-BA controller. In conclusion, PID-BA was the best controller in this research. This research could be used as a future reference with other controllers to get the most optimized controller.
Analysis of Biogas Power Plant Efficiency in Covered Lagoon Digester System Para Atmaja, I Gede; Rumokoy, Stieven N.
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/um049v2i2p6-15

Abstract

Palm oil mill liquid waste or often referred to as POME (Palm Oil Mill Efluent) was previously just left alone without any special treatment for the utilization of the energy contained in it. Along with the development of technology, liquid waste can be processed into useful energy sources. Wastewater treatment with a covered lagoon system is widely used in the palm oil industry. The result of wastewater treatment is biogas. Biogas is then used as biogas generator engine fuel to be used as electricity. The amount of electricity to be obtained is directly proportional to the amount of biogas produced. While the amount of biogas produced depends on the amount of POME and the content of COD (Chemical Oxygen Demand) in the POME. To see how effective the Biogas Power Plant  has been built, it is necessary to calculate the efficiency of each treatment. From the results of calculations, the efficiency of wastewater treatment reaches 94.80%. The efficiency of using biogas to energy reaches 99.29%. The work efficiency of a power plant is 19.65%. With the maximum processing prediction simulation, the maximum capacity of the power plant can only reach 1.48MW.
Modeling and Control Design of Quadcopter Motor Mulyadi, Adi; Wijono, Wijono; Siswoyo, Bambang
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/um049v2i2p34-45

Abstract

This paper discussed the modeling and control design of quadcoptermotor. Modeling was performed using the Laplace transformmethod. The quadcopter mathematical model was used as the loadtorque of brushless dc motor to control the stability of altitudevertical take-off motion. Motion stability was influenced by thebody frame mass, propeller speed, and wind disturbance duringhovering. Hence, the quadcopter motion experienced oscillation toreach a steady state. The tuning of Ziegler-Nichols PID and fuzzygain scheduling PID were suggested to overcome the stability ofaltitude vertical take-off motion. The simulation results showed thatfuzzy gain scheduling PID reduced the overshoot 0.1% smaller thanthe Ziegler-Nichols tuning.
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Frontier Energy System and Power Engineering Vol 3, No 1 (2021): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v3i1p%p

Abstract

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A Control Method for Modified Bidirectional Cuk DC-DC Converter Azmi, Muhammad Rifqi; Dahono, Andriazis; Ilman, Sofyan M.; Rizqiawan, Arwindra; Dahono, Pekik A.
Frontier Energy System and Power Engineering Vol 3, No 1 (2021): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v3i1p10-19

Abstract

A control method for a modified bidirectional Cuk DC-DC converter is proposed in this paper. The proposed controller is a double control loop consisting of an inner current control loop and a voltage control loop is used to control the converter. The small-signals model that is useful in designing controllers is derived in this paper. A simple PI controller is used for both controllers. The simulation and experimental results are included in this paper to validate the performance of the proposed controller.
Home Appliances in the Smart Grid: A Heuristic Algorithm-Based Dynamic Scheduling Model Abuznaid, Anan R.S.; Tutkun, Nedim
Frontier Energy System and Power Engineering Vol 3, No 1 (2021): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v3i1p20-27

Abstract

Customers and power utilities alike will benefit from smart grid technology by lowering energy prices and regulating generating capability. The accuracy of information sharing between main grids and smart meters is critical to the performance of scheduling algorithms. Customers, on the other hand, are expected to plan loads, respond to electricity demand alerts, engage in energy bidding, and constantly track the utility company's energy rates. Consumer loyalty can be improved by strengthening the connectivity infrastructure between the service provider and its customers. We suggest a heuristic demand-side control model for automating the scheduling of smart home appliances in order to optimize the comfort of the customers involved. Simulation findings show that the suggested hybrid solution will reduce the peak-to-average ratio of overall energy demand while still lowering total energy costs without sacrificing consumer convenience
Power Quality Control for Mixed Renewable Energy Systems Akkilah, Mohammed; Farsadi, Murtaza
Frontier Energy System and Power Engineering Vol 3, No 1 (2021): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v3i1p1-9

Abstract

Electrical energy is one of the famous and easiest used forms of energy. Electrical energy can be converted to many forms of energy. With the development of technology, the dependency on the electrical energy has been increased greatly nowadays. Such as Computer and telecommunication networks field, railway network banking, post office, life support system are few application that just cannot run without electricity. In this article we will discuss the power quality issues for distributed generation systems based on renewable energy sources, as an example solar and wind energy. A brief explanation about the power quality issues is conducted here.This article starts with the power quality issues, followed by discussions of basic standards. A brief study of power quality in the power system, it includes the systems with dc and renewable sources are done in this article. In addition to the power quality monitoring techniques and its possible solutions for the power quality issues for the power system are briefly discussed. Later we will go through the analyzing step for the methods of mitigation of these problems using custom power devices, such as D-STATCOM, UPQC, UPS, TVSS, DVR, etc., for micro grid systems. As an example for the renewable energy systems, such as the statcom can be an efficient choice due to its several advantages, whereas the spinning reserve can enhance the power quality in traditional systems. Finally, we will discuss the power quality in dc systems. Two Main advantages for a DC system, is the Simple arrangements and higher reliability. Even though it faces many power quality issues such as, instability and poor detection of faults.
Total Harmonic Distortion and Power Factor Analysis of Thyristor Firing Angle on Electrostatic Precipitator in PLTU Unit 3 & 4 Pangkalan Susu Capacity 2 X 200 MW Widjonarko, Widjonarko; Bachri, Samsul; Oktavianus, Trio Putra
Frontier Energy System and Power Engineering Vol 3, No 1 (2021): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v3i1p28-35

Abstract

 The impact of pollution resulting from exhaust gas in the form of coal ash in the Steam Power Plant makes the Electrostatic Precipitator an equipment that can handle these problems. The equipment has a voltage level regulation system using a thyristor which with a certain value can create an electric field capable of capturing charged ash. The thyristor system has a disturbance known as harmonics. Good handling to overcome harmonics is to measure using a certain index, one of which is the Total Harmonic Distortion (THD) and to know its effect on the power factor. In this research, an analysis of the electrostatic precipitator system at PLTU Pangkalan Susu will be carried out by collecting the necessary data and the firing angle installed in the company. From the test results, it can be said that the THD value in the Electrostatic Precipitator system at PLTU Units 3 & 4 Pangkalan Susu is in the normal range. To find out the range of compatible firing angles on the system, it is also necessary to provide a test variable angle. Based on the test, it is known that the firing angle installed in the company is 460with THDv and THDi of 4.01% and 3.61%  respectively and the Power Factor is 0.84876. Whereas with the test variable angle, it is known that the good or normal THDv and THDi values are in the range 300to 600where the THDv value is in the range of 3.83% to 4.91% and the THDi value is in the range of 3.50% to 4. 21%.
Controlling Effect of HSABC Algorithm on the Unit Commitment of Power System Operation NA, Arif; Hiyama, Takashi
Frontier Energy System and Power Engineering Vol 3, No 1 (2021): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v3i1p36-43

Abstract

The total operating cost may be expressed in an Economic Power System Operation (EPSO). Technically, this fee is presented to meet total demand for load by individual generating unit costs based on the schedule of engaged energy outputs (EEO). The minimum operating cost is currently achieved by considering economic and emission dispatches, which are made up of the problem of a combined economic and emission dispatch (CEED). The latest artificial intelligent calculation, Harvest Season Artificial Bee Colony Algorithm, is used to identify EEO using the IEEE-62 bus system based on a low cost of CEED. The results of the simulation show that HSABC has short time and rapid convergences. Space areas have various impacts on the performance of HSABC Algorithm on the CEED.

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