cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
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 5 Documents
 1 
Search results for , issue "Vol 2, No 2 (2020): JULY" : 5 Documents clear
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.
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.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol 5, No 2 (2023): July Vol 5, No 1 (2023): January Vol 3, No 1 (2021): JANUARY Vol 2, No 1 (2020): January 2020 Vol 2, No 2 (2020): JULY Vol 2, No 1 (2020): JANUARY Vol 1, No 2 (2019): July 2019 Vol 1, No 1 (2019): January 2019 Vol 1, No 2 (2019): JULY Vol 1, No 1 (2019): JANUARY