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All Journal Bulletin of Electrical Engineering and Informatics Journal of Innovation Materials, Energy, and Sustainable Engineering
Adelhard Beni Rehiara, Adelhard Beni
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Engineering

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Design a prototype of a marine wave power plant (PLTGL) using a recoil starter Lesnussa, Henny; Farhan, Fauzi; Patiran, Abdul Z.; Rehiara, Adelhard Beni; Sarungallo, Pandung; Rumengan, Yanty
Journal of Innovation Materials, Energy, and Sustainable Engineering Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jimese.v1i1.2023.37

Abstract

As the needs of human life increase, the need for electrical energy will also increase. Currently, fossil energy, which is widely used as fuel for the provision of electrical energy, is running low. In Indonesia, renewable energy sources have not been utilized properly, such as wave energy. This study discussed how to design a prototype of a sea wave power plant. The problem is, how to be able to utilize the energy of sea waves to the maximum. The purpose of this research is to find solutions and designs to utilize recoil starter as a prototype of ocean wave power plants. The methodology used in this study is an experiment in which the prototype made is given a certain treatment and then measurements are made. His data analysis technique is descriptive analysis. Based on the results of measurements and observations, the performance of the tool is not only influenced by the height of the wave, but also the period of arrival of the sea wave and the ballast load of the tool. After measurements were made on the first day of Maruni beach, the prototype could produce an average power of 4.21 watts for an average wave height of 0.35 cm and Maruni beach on the second day could produce an average power of 5.68 watts for an average wave height of 0.4 m. While on the first day Amban beach obtained an average power of 3.29 watts for an average wave height of 0.37 cm and Amban beach on the second day could produce an average power of 14.26 watts for an average wave height of 0.5 m.
Probabilistic load flow based voltage stability assessment of solar power integration into power grids Rehiara, Adelhard Beni; Bawan, Elias Kondorura; Palintin, Antonius Duma; Wihyawari, Bibiana Rosalina; Setiawan Paisey, Fourys Yudo; Pasalli, Yulianus Rombe
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.5651

Abstract

The interconnection of renewable energies increases the complexity of modern power systems. Hence, stability assessments should be made to ensure the system’s stability after penetration. Solar power is a type of renewable energy that has become a widespread energy source among renewable energy sources. About 1 MWp of the solar power plant has been prepared to be interconnected to the IEEE 8 bus of Manokwari grid, and this paper investigates the voltage profile, power losses, and stability of the solar power plant penetration using an adaptive kernel density estimator (AKDE) and compares it to a Monte Carlo simulation (MCS)-based probabilistic load flow (PLF). About 5000 samples have been used to test the grid after the connection. Results of simulations show that the solar penetration can reduce power losses from 0.4084 MW to 0.3080 MW and 0.3045 MW by the proposed method and MCS method, respectively, and further increase the bus voltage profile. The power network has the stability to be connected to solar power, as indicated by the small stability index values of each bus. The proposed method using the AKDE method has a more accurate result in stability indices indicated by small fast voltage stability index (FVSI), line stability index (Lmn), and line stability factor (LQP) indices. 
Co-Authors Bawan, Elias Kondorura Farhan, Fauzi Lesnussa, Henny Palintin, Antonius Duma Pasalli, Yulianus Rombe Patiran, Abdul Z. Rumengan, Yanty Sarungallo, Pandung Setiawan Paisey, Fourys Yudo Wihyawari, Bibiana Rosalina