E3S Web Conf.
Volume 190, 20201st International Conference on Renewable Energy Research and Challenge (ICoRER 2019)
|Number of page(s)||16|
|Published online||23 September 2020|
Performance Study of Maximum Power Point Tracking (MPPT) Based on Type-2 Fuzzy Logic Controller on Active Dual Axis Solar Tracker
Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Jl. Teknik Kimia, Surabaya 60111, East Java, Indonesia
2 Department of Biology and Environmental Science, Linnaeus University, Stuvaregatan 4 SE-392 31 Kalmar, Sweden
3 Graduate School of Renewable Energy, Darma Persada University, Jl. Taman Malaka Selatan No. 22, Pondok Kelapa, East Jakarta 13450, Indonesia
* Corresponding author: email@example.com
World energy consumption increases with time, so that occur an energy imbalance. Many breakthroughs have developed to utilize renewable energy. The photovoltaic system is one of the easy-to-use renewable energies. The power conversion from PV fixed is still low, so the PV system is designed using the active dual-axis solar tracker. The PV tracker position can be adjusted to change the sun position to get maximum efficiency. The active dual-axis solar tracker system is integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. The active dual-axis solar tracker system integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. Tracking test simulation had done by comparing the output power of a fixed PV system with the active dual-axis solar tracker. Type-2 fuzzy logic based MPPT successfully increased the average output power by 10.48 % with the highest increase of 17.48 % obtained at 15:00 West Indonesia Time (GMT+7). The difference in power from a fixed PV system with the active dual-axis solar tracker of 36.08 W is from the output power worth 206.3 to 242.4 W.
Key words: clean energy / fuzzy logic / maximum power point / renewable energy / solar tracker
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.