E3S Web Conf.
Volume 188, 2020The 4th International Conference on Electrical Systems, Technology and Information (ICESTI 2019)
|Number of page(s)||11|
|Published online||08 September 2020|
Smart Micro-Grid Performance using Renewable Energy
Graduate School of Renewable Energy, Darma Persada University, Jl. Taman Malaka Selatan No.22, Jakarta Timur, 13450, Indonesia
2 Department of Mechanical Engineering, Darma Persada University, Jl. Taman Malaka Selatan No.22, Jakarta Timur, 13450, Indonesia
3 Department of Environmental Science, University of Latvia, Jelgavas Street 1, Room 302, Riga LV-1004, Latvia
4 Department of Agriculture Science, Postgraduate Program, University of Muhammadiyah Malang, Jl. Raya Tlogomas No.246, Malang, 65145, Indonesia
5 Program Study of Information Technology, University of Jember, Jl. Kalimantan 37, Jember 68121, Indonesia
* Corresponding author: Kamaruddinabd@gmail.com
The aim of this research is to determine the performance of PV panels, wind turbines, battery storage and power imported from the grid to the system which will ensure a reliable energy supply, as well as the technical feasibility of a smart microgrid system. Indonesia’s renewable energy potential for electricity reaches 443 GW, where solar energy is the largest potential, namely 4.8 KWh m–2 or equivalent to 112 000 GWp, but only 10 MWp has been utilized. The most basic problem in this system, namely, the uncertainty of wind energy and solar energy, one of the most vital factors in the optimal size of a renewable energy-based smart microgrid system is the reliability of the system being built. The method used in this research is to collect data on the availability of wind energy and solar energy as well as load analysis on the smart microgrid system. As a result, the resulting power output was 6.2 MWh during the experiment. The highest average Performance Ratio (PR) of the solar energy power generation system, namely 77 % in February 2020. Optimized with Battery Life (OBL) model produces a power output of 102.4 kWh and has an overall system efficiency of 81.92 %.
Key words: Clean energy / optimized with battery life / load analysis / performance ratio / technical assessment of energy availability
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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