Modification Design of Solar Tracker and MPPT on Photovoltaic Systems using PSO based Fuzzy Type-2 Controller
- DOI
- 10.2991/978-94-6463-364-1_84How to use a DOI?
- Keywords
- MPPT; Tracker; Photovoltaic; Fuzzy type-2; PSO
- Abstract
Photovoltaic (PV) systems are a promising renewable energy source, but their efficiency is affected by the angle of incidence of sunlight. It is necessary to have a control system for both light capture and optimizing PV power output. When capturing sunlight by PV, a conditioner is needed in the form of a solar tracker so that the light radiation received can be maximized. Meanwhile, the output power from PV can also be optimized using the MPPT (Maximum Power-Point Tracking) method. Both optimizations use Fuzzy Type-2 which optimizes the membership function value using the PSO (Partical Swarm Optimization) algorithm. In the Photovoltaic system, the power produced by the solar tracker system can increase by 3.25% and the energy increases by 14.76% when compared to the PV-fixed system. The output power of the solar tracker can be further increased using MPPT PSO based Fuzzy type-2, so that the system output power can increase to 759 watts and the energy increases up to 4.3 times.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jauharotul Maknunah AU - Ali Musyafa AU - Imam Abadi AU - Dwi Nur Fitriyanah PY - 2024 DA - 2024/02/17 TI - Modification Design of Solar Tracker and MPPT on Photovoltaic Systems using PSO based Fuzzy Type-2 Controller BT - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023) PB - Atlantis Press SP - 919 EP - 930 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-364-1_84 DO - 10.2991/978-94-6463-364-1_84 ID - Maknunah2024 ER -