Performance Study of Maximum Power Point Tracking (MPPT) Based on Type-2 Fuzzy Logic Controller on Active Dual Axis Solar TrackerShow others and affiliations
2020 (English)In: E3S Web of Conferences, EDP Sciences , 2020, p. 1-16, article id 00016Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
EDP Sciences , 2020. p. 1-16, article id 00016
Keywords [en]
Clean energy, Fuzzy logic, Maximum power point, Renewable energy, Solar tracker, Computer circuits, Energy utilization, Maximum power point trackers, Photovoltaic cells, Average output power, Maximum Efficiency, Maximum Power Point Tracking, Photovoltaic systems, Solar tracker systems, Type-2 fuzzy logic controllers, World energy consumption
National Category
Energy Engineering
Research subject
Environmental Science, Environmental technology
Identifiers
URN: urn:nbn:se:mdh:diva-57902DOI: 10.1051/e3sconf/202019000016Scopus ID: 2-s2.0-85092472900OAI: oai:DiVA.org:mdh-57902DiVA, id: diva2:1651775
Conference
E3S Web of Conferences
2021-09-232022-04-13Bibliographically approved