2021
DOI: 10.22219/kinetik.v6i4.1338
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Firefly Algorithm For Optimizing Single Axis Solar Tracker

Abstract: Solar cells mounted on solar panel modules are expected to track sunlight throughout the day to produce maximum energy. The Firefly algorithm (FA) is embedded in the Arduino Mega microcontroller to control the tracking of the sun's position by the solar panel so that the absorption of solar energy can be as much as possible to get maximum electrical energy. The brightest light captured by the solar panel is represented as the light intensity of a firefly. The output of the solar tracking system is obtained by … Show more

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Cited by 2 publications
(4 citation statements)
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“…Several tests were carried out on the system to analyze Arduino Uno's performance related to execution time and memory capacity to obtain optimal values based on the embedded FFA, as shown in Table 1. More complex observations were made compared to research conducted by Melfazen et al [11] in 2017 which only tested the performance of the Arduino mega microcontroller in executing the FFA based on changes in the number of iterations only. In this study, we examine the effect of changes in firefly parameters (γ, α, n, and iterations) on the best value (GBest), the time required for processing, and dynamic memory requirements (dm).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Several tests were carried out on the system to analyze Arduino Uno's performance related to execution time and memory capacity to obtain optimal values based on the embedded FFA, as shown in Table 1. More complex observations were made compared to research conducted by Melfazen et al [11] in 2017 which only tested the performance of the Arduino mega microcontroller in executing the FFA based on changes in the number of iterations only. In this study, we examine the effect of changes in firefly parameters (γ, α, n, and iterations) on the best value (GBest), the time required for processing, and dynamic memory requirements (dm).…”
Section: Resultsmentioning
confidence: 99%
“…Certain methods are needed in the form of algorithms to get the best results for solving a problem through optimization [1]- [3]. Nature-based metaheuristic algorithms by imitating animal behavior in colonies have been developed and chosen to solve global optimization problems [4]- [6] such as war strategy optimization [7], giant Trevally optimizer [8], artificial rabbits optimization [9], Bat algorithm [10], and Firefly algorithm (FFA) [11]. FFA is also one of the nature-inspired algorithms to find the optimal value and is still relatively new, introduced in 2010 [12], [13].…”
Section: Introductionmentioning
confidence: 99%
“…Selanjutnya, untuk mendapatkan daya optimal dari panel surya akibat perubahan arus dan tegangan, maka pada buckboost converter diperlukan suatu sistem untuk mendeteksi titik optimum daya atau Maximum Power Point Tracker (MPPT) [6], [11]. MPPT dipilih karena memiliki efisiensi yang lebih tinggi dibanding dengan metode lain dan mampu menampung kapasitas sistem solar yang lebih besar [12].…”
Section: Pendahuluanunclassified
“…MPPT dipilih karena memiliki efisiensi yang lebih tinggi dibanding dengan metode lain dan mampu menampung kapasitas sistem solar yang lebih besar [12]. Salah satu metode untuk mencari nilai MPPT adalah Perturb and Observe (P&O) [3], [6]. P&O merupakan algoritma yang mengendalikan daya keluaran dari sumber dengan mengubah nilai duty cycle [13].…”
Section: Pendahuluanunclassified