Smart solar tracking system based on fuzzy-PI controller for maximizing the power of PV

Imam Abadi*, Chairul Imran, Nadia Fasa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Solar energy is a potential renewable energy to be developed as an alternative energy due to its abundant availability and environmentally friendly. Indonesia, as a tropical country has a very large intensity of solar irradiance and evenly distributed throughout region. However, the energy has not been optimally utilized because the existing technology today cannot significantly improve the efficiency of solar panels especially in terms of material technology. Nowaday, researchers have developed a technology capable of improving the performance of solar panels through solar tracking mechanisms. Solar tracker is a combination of electrical and mechanical systems that can move a solar panel to locate the position of the sun. The solar tracker system is expected to enhance the output power of solar panel (PV) because the intensity of solar radiation received is always maximum. Generally, solar tracking system has been operated on fix-based, so its usage has been limited to stationary objects. In this research has been proposed a smart solar tracking system-based PV panel on mobile object to investigate the enhanced power generated by PV. Meanwhile, this study implemented fuzzy logic system-based PI Controller. Fuzzy system used to tune desired PI gain in such a way that it will improve the performance of PI controller. There are two membership function (MF) schemes used, ie using 3 and 5 MF. The simulation results show that the best response of system was reached when fuzzy PI controller was 5 membership numbers with performance index parameters including the rise time (tr) 0.61 second, settling time (ts) 5.18 seconds, maximum overshoot 3.18% and steady state error (ess) 0.45%. The increased power generated by the PV panel based on smart solar tracking system placed on top of the car for a month is 52.37% as compared to fixed PV.

Original languageEnglish
Title of host publicationAdvanced Industrial Technology in Engineering Physics
EditorsAgus Muhamad Hatta, Katherin Indriawati, Gunawan Nugroho, Totok Ruki Biyanto, Dhany Arifianto, Doty Dewi Risanti, Sonny Irawan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735418189
DOIs
Publication statusPublished - 29 Mar 2019
Event2nd Engineering Physics International Conference 2018, EPIC 2018 - Surabaya, Indonesia
Duration: 31 Oct 20182 Nov 2018

Publication series

NameAIP Conference Proceedings
Volume2088
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd Engineering Physics International Conference 2018, EPIC 2018
Country/TerritoryIndonesia
CitySurabaya
Period31/10/182/11/18

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