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Analysis Of The Effect Of Loading On Parallel Generator Work At PT. Mitrabara Adiperdana Tbk Sartika, Linda; Prasetia, Abdul Muis; Mado, Ismit; Fidarwati
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 7 No 2 (2023): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v7i2.1673

Abstract

Genset is a combination of two different devices: the engine as a rotating device and the generator as a generating device. Genset at PT. Mitrabara Adiperdana. Tbk is used as a backup when the electricity source from PLN goes out. Due to fluctuating loads, an ample power supply is needed when the conveyor is operating, so more than one generator is needed to supply electricity according to load demand. To meet the power needs at PT. Mitrabara Adiperdana. Tbk, 2 gensets with a capacity of 500 kVA and 3 gensets with a capacity of 800 kVA were synchronize. Generator synchronization aims to obtain optimal power, good efficiency and efficient specific fuel consumtion (SFC). When 5 generator units were paralleled, the lowest efficiency was 19.2% with an SFC of 0.48 liters/kWh in September with a capacity of 800 kVA, while the highest efficiency was 62.98% with an SFC of 0.15 liters/kWh in July with a capacity of 800 kVA. The calculation result, when given the same loading, obtained the lowest efficiency of 1% with an SFC of 9.3 liters/kWh in August with a capacity of 500 kVA and the highest efficiency of 51.45% with an SFC of 0.18 liters/kWh in August with a capacity og 800 kVA. The calculation result show that the efficiency is affected by the amount of output power, the difference in the initial year of operation, anf the difference in several parameters of the nmaplate. Meanwhile, the generator’s Specific Fuel Consumtion (SFC) is influenced by the output and hours meter.
SHORT-TERM FORECASTING DAILY ELECTRICITY LOADS USING SEASONAL ARIMA PATTERNS OF GENERATION UNITS AT PT. PLN (PERSERO) TARAKAN CITY Mado, Ismit; Budiman, Achmad; Triwiyatno, Aris
Jurnal Ilmiah Kursor Vol. 12 No. 2 (2023)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v12i2.348

Abstract

Electrical power requirements at load centers tend to change over time, so the State Electricity Company (PLN) as a provider of electrical energy must be able to predict electrical load requirements every day. The city of Tarakan as a reference center in the northern region of Indonesia is developing rapidly. Along with this growth, the need for electric power is of course also increasing, so we must be able to provide an economical and reliable electric power supply system. This research aims to predict the electricity load at PT. PLN (Persero) Tarakan City. The author will carry out short-term forecasting using time series data in the form of daily electrical power usage data using the Autoregressive Integrated Moving Average (ARIMA) method. The ARIMA method or often called the Box-Jenkins technique shows that this method is suitable for predicting a number of variables quickly, simply and cheaply because it only requires variable data to be predicted. Analysis based on the Box-Jenkins time series taking into account the influence of seasonal patterns. The prediction results show that the data contains seasonal elements with the best model being SARIMA with a MAPE of 3 percent.
A Matlab/Simulink Simulation Small Signal Stability of Single-Machine Infinite Bus Using Optimal Control Based on Load Cluster Patterns Mado, Ismit; Ruslim; Riyanto, Sugeng
International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 3 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.3.3.83-88

Abstract

Matlab/Simulink is sophisticated software that has been facilitated by MathWorks Inc. This device is increasingly being used in various fields of research. Likewise, it has great potential in the field of power system simulation. This paper presents a simulation of the optimal performance of the power generation system due to changes in load consumption. Small signal stability due to changes in electrical power usage at the load center is overcome by applying a load cluster pattern. The main objective of this research is to achieve control in a power generation system that is responsive and able to maintain stability in all operating conditions at the load center. Simulation results show the performance of optimal control of the power generation system in each load cluster. Contributions to improve the stability of the power plant system performance by 28.03 percent for frequency (F), 23.03 percent for voltage (V), and 29.5 percent for electric power (P).
Short-Term Electricity Load Forecasting Model Based DSARIMA Mado, Ismit; Rajagukguk, Antonius; Triwiyatno, Aris; Fadllullah, Arif
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.1.6-11

Abstract

Forecasting short-term electrical load is very important so that the quality of the electrical power supplied can be maintained properly. The study was conducted to measure the results of electrical load forecasting based on parameter estimates and the presentation of time series data. It is important to manage stationary data, both in terms of mean and variance. Data presentation is done by determining the value of variance through the Box-Cox transformation method and the mean value based on the ACF and PACF plots. This study considers the pattern of electricity consumption which contains double seasonal patterns. The results of previous studies show the electric power prediction model, the DSARIMA model with a MAPE of 2.06%. The condition of the model used to predict the electrical load still has a tendency not to be normally distributed and it is estimated that there are outliers. Improvements to the AR and MA parameters that meet the standard error tolerance value of 5 percent are increased in this study. The results showed improvement of parameters to predict electrical load with DSARIMA model. The significance of this study was obtained by the MAPE value of 1.56 percent when compared to the actual data.
DESAIN PEMBANGKIT LISTRIK TENAGA SURYA TERPUSAT DESA PELAJU Julianto, Patria; Huda, Abil; Prasetia, Abdul Muis; Budiman, Achmad; Said, Fitriani; mado, ismit; Sartika, linda; Riyanto, Sugeng; tachfulloh, syahfrizal
Jurnal Pengabdian Masyarakat Borneo Vol 8, No 3 (2024)
Publisher : Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jpmb.v8i3.5874

Abstract

Kegiatan ini bertujuan untuk merancang dan mengimplementasikan pembangkit listrik tenaga surya (PLTS) terpusat di Desa Pelaju. PLTS terpusat tersebut nantinya akan digunakan untuk menyediakan listrik yang terjangkau dan berkelanjutan bagi masyarakat desa Pelaju, yang saat ini memiliki akses terbatas terhadap energi listrik. Pada kegiatan ini desain PLTS terpusat yang akan dipasang di Desa Pelaju. mencakup berbagai aspek proyek, seperti aspek legal, sosial, ekonomi, dan teknis. Kegiaatan ini juga mencakup perhitungan kapasitas modul surya dan baterai yang dibutuhkan untuk memenuhi kebutuhan listrik desa Pelaju. Selain hal tersebut, pada kegiatan ini juga diberikan panduan pengelolaan dan pemeliharaan PLTS terpusat agar dapat beroperasi secara optimal.
Study of Distribution Transformer Voltage Drops in Feeder 5 Out Going Districts 4 and 6 at PT. PLN (Persero) Tarakan City, North Kalimantan Arifin, Marthen; Mado, Ismit; Budiman, Achmad; Anwar, Choirul; Nathanael, Samuel
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 1 (2023): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v2i1.31

Abstract

This research aims to determine the low-voltage drop that occurs at the substation and on the customer side. The voltage drop is affected by many factors, including line resistance, line current, power factor, and line length. The need for electric power is increasing every year, causing power losses and voltage drops in the network to be a major concern. This research was conducted at Feeder 5, outgoing villages 4 and 6, one of the areas of PT. PLN in Tarakan City. The research data is voltage measurement data. This research applies analytical calculations with a quantitative descriptive method compared to calculations based on ETAP software. The allowable voltage drop by SPLN is 5% of the nominal voltage. The results of the analysis show that the average voltage drop that occurs is still within the limits permitted by the SPLN, namely below 5% of the nominal voltage.
Reliability Analysis of 3 Phase Generator Set as An Emergency Power Supply If There are Electricity Outages at PT. Intracawood Manufacturing Musmuliadi; Mado, Ismit; Budiman, Achmad; Subarianto; Rantepadang, Agustinus
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v2i2.66

Abstract

The need for electricity is a problem that occurs every year, especially in environments that really need a very high supply of electricity, such as companies, industries, offices, and lecture buildings. To maintain the continuity of the supply of electrical energy in the event of a disturbance, it is necessary to back up the generating system. As with the operation of a power generation system, it is also necessary to maintain the continuity and reliability of this backup power plant. To determine the level of reliability and availability, equipment data, operational data and damage data are needed. This study calculates the specified operating time (SOT), the total number of damages and the number of generators that are not operated due to routine or scheduled maintenance needs. calculating maintenance hours (S) and total maintenance time for each generator within a predetermined period. From SOT minus the total maintenance time, you will get the actual operating time (AOT) value of each generator. SOT and AOT data are needed to calculate the level of availability of generators individually and the level of availability of generators as a backup power supply. Furthermore, this research calculates the mean time between failure (MTBF) for each generator. The results of the study show that in 2022 the reliability level of PT. Intracawood Manufacturing by 99%. The generator set reliability level is included in the group that rarely experiences disturbances or damage (R≥ 90%) and the average generator set availability rate in 2022 is 98.5%. This study shows that the operating target of the power generation system at PT. Intracawood Manufacturing rarely experiences interruptions.