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All Journal Jurnal Ilmiah Kursor Jurnal Pengabdian Masyarakat Borneo International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Mado, Ismit
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Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : International Journal of Electrical, Energy and Power System Engineering (IJEEPSE)

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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.
Co-Authors Abdul Muis Prasetia, Abdul Muis Antonius Rajagukguk, Antonius Arif Fadllullah Arifin, Marthen Aris Triwiyatno Budiman, Achmad Choirul Anwar Fidarwati Huda, Abil MUSMULIADI Nathanael, Samuel Patria Julianto Rantepadang, Agustinus Ruslim Said, Fitriani Sartika, Linda Subarianto Sugeng Riyanto Syahfrizal Tahcfulloh