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All Journal Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII JISTECH: Journal of Information Science and Technology
Adelhard Beni Rehiara
Jurusan Teknik Universitas Negeri Papua
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Model Predictive Control Untuk Kendali Konverter Buck-Boost Adelhard Beni Rehiara; Yanty Rumengan
Retii 2020: Prosiding Seminar Nasional ReTII ke-15
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

The process of converting DC electric current is not like converting an AC electric current. In the process of converting DC current, a DC-DC converter is needed. The buck-boost converter is a type of DC-DC converter that can either increase or decrease the output voltage simultaneously. MPC has interested mankind to be developed, in order to get a reliable type of controller. In this research, MPC has been developed utilizing the Laguerre function which is used as a buck-boost converter controller with the network length N = 4, the scale factor a= 0,7, the prediction horizon Np = 20 and the control horizon Nc = 2. Simulations were carried out with variations in load resistance between 10-40 Ω and setpoint alteration among 10-70 V. The simulation results show that MPC based on the Laguerre function can control the buck-boost converter system properly without overshoot with peak time and steady state about 0.001 second.
Performa Kontroler MPC Berbasis Fungsi Laguerre dan Kontroler PID Untuk Kendali Konverter Buck-Boost Adelhard Beni Rehiara; Yanty Rumengan
Retii 2020: Prosiding Seminar Nasional ReTII ke-15
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

The buck-boost converter is a device to change the amount of DC electricity. This device is very non-linear, so a better controller is needed to improve its performance. In this research, a Laguerre function based MPC has been made to control the converter. A simulation to determine the performance of the MPC on the buck-boost converter is done by comparing it with the existing PID controller. The simulation setting is done by providing an input voltage of 55V with loads of 25W, 60W and 100W within a setpoint of 100V. The simulation results show that the MPC has a high response speed in the order of milliseconds even though there is still an overshoot of 12.4% when compared to the PID controller which does not have overshoot but has a slower response with a little steady state errors and some spikes along the simulation.
Analisis Kehandalan Sistem Tenaga Listrik di PT. PLN (Persero) Rayon Fakfak dengan Metode Loss of Load Probability: Analysis of Electrical Power System Reliability at PT. PLN (Persero) Rayon Fakfak Using the Loss of Load Probability Method Zulfikar Bungin; Adelhard Beni Rehiara; Yanty Rumengan
JISTECH: Journal of Information Science and Technology Vol 11 No 2 (2022): Oktober 2022
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v11i2.116

Abstract

The level of reliability determines the continuity of electricity distribution in the power system, the availability of insufficient power will affect the level of reliability of the system. The Loss of Load Probability (LOLP) method is a popular method to calculate the reliability of an electric power system. A high level of reliability is obtained with a small level of risk. The value of the disturbance in the generating units, or the forced outage rate (FOR), is calculated using the installed power data and the disturbance data of each unit. The probability of each generating unit, the probability when another generating unit is added, and the cumulative probability can be calculated based on the FOR value. From the intersection point of the interval of the load curve in one year, the intersection is reached on the 346th day with 720 kW, which is the force outage limit. The results of the LOLP calculations show that the electric power system at PT. PLN Rayon (Persero) Fakfak has experienced a forced outage for about 90.5828 days per year.
Analisa Losses Energy Pada Konduktor Jaringan Tegangan Menengah Berbasis Kurva Beban PT. PLN (Persero) UP3 Area Manokwari: Analysis of Energy Losses in Medium Voltage Network Conductors Based on Load Curves at PT. PLN (Persero) UP3 Manokwari Area Herybertus Rivanaldi Podajow; Adelhard Beni Rehiara; Jamius Bin Stepanus
JISTECH: Journal of Information Science and Technology Vol 12 No 1 (2023): Vol. 12 No. 1 (2023): April 2023
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v12i1.210

Abstract

The quality of electricity includes several things, including continuity of distribution, length of blackout time, voltage stability. One of the causes of declining electricity quality is the shrinkage that occurs in the electric power network, network losses cannot be avoided but can be minimized by shortening the network, performing maintenance and maneuvering the load. Energy losses in the electrical system come from the power generation, transmission and distribution system. In the transmission system, energy losses can be minimized by increasing the transmission voltage to high and extra high voltage levels. The load curve is a curve in a time range which shows the value of electrical energy use and load for a feeder so that PT. PLN (Persero) UP3 Manokwari can estimate power requirements. Expense curves can be divided into three types, namely daily curves, monthly curves and annual curves. Research throughout October 2021 used quantitative methods in processing data and calculating losses so that the power loss was 2.0070% and the energy loss was 1.9847%. This loss is still far below the state electricity company standard D3.002-2 (2008) in range of 5% to 10%.
Co-Authors Herybertus Rivanaldi Podajow Jamius Bin Stepanus Yanty Rumengan Yanty Rumengan Yanty Rumengan Zulfikar Bungin